SEIR Hyrbid Model with 1 Pre-Symptomatic Compartment: Pre-Symp and Asymp have same rate with Presymp occuring before Asymp/Symp split
Rahul Subramanian
April 12, 2020
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## as.Date, as.Date.numericlibrary(stringr)We fit a modified SEIR model to case data from the 2019-nCoV epidemic in NYC using case data from () to ().
Declare model name
full_model_name = "NYC_Covid_Model_Hyrbid_Model_1_Pre-Symp_Compartment_Set_b_p_to_0"
model_name = "N_12"
rda_index = 0
rds_index = 0Compartment/Queue Cohort Numbers
M = 5
V = 13
K = 14Model Summary
Process Model
Process Model Diagram
Digram of process for (excluding queue) for simple model.
Process Model Description
The process model is an SEIR model, with compartments for pre-symptomatic, symptomatic, and severe infections.
All individuals start out susceptible (\(S\)). They become infected with force of infection \(\lambda(t)\) and move into the Exposed class (\(E\))
We use chain of \(M= 3\) compartments (\(E_m\) where \(m= 1:M\)) to describe the Exposed class. Individuals leave each compartment at rate \(\phi_E\). They spend an average of \(\frac{1}{\phi_E}\) days in each compartment (exponentially distributed).
As individuals leave the exposed chain, they either develop a symptomatic infection with probability \(p_S\) or an asymptomatic infection with probability \(1-p_S\).
Individuals who develop an asymptomatic infection move from the exposed chain into the Infected Asymptomatic compartment (\(I_A\)). In this compartment, individuals transmit with intensity \(\beta_A\), where \(\beta_A = b_a*\beta\).
Individuals in \(I_A\) recover at rate \(\phi_S\) and move to the recovered asymptomatic compartment \(R_A\), spending an average of \(\frac{1}{phi_S}\) days in the asymptomatic infected compartment.
We note that in this model asymptomatic infections do not have an explicit presymptomatic phase that is distinct from their asymptomatic phase.
Individuals who develop a symptomatic infection experience pre-symptomatic infection (\(I_P\)).
We use chain of \(U= 1\) compartments (\(I_{P}\)) to describe the Infected Presymptomatic class class. Individuals leave each compartment at rate \(\phi_U\). They spend an average of \(\frac{1}{\phi_U}\) days in each compartment (exponentially distributed).
During each of these 1 compartments , individuals are able to (asymptomatically) transmit at rate \(\beta_P\) where \(\beta_P = b_p \beta (t)\).
After leaving the presymptomatic compartment \(I_{P}\), individuals move into the symptomatic infection compartment \(I_S\). Individuals spent an average of 5 days (exponentially distributed) in the symptomatic infection compartment \(I_S\) (they leave at rate \(phi_S = 1/5\) ).
After existing \(I_S\), they enter compartment \(I_{S_2}\) with probability \((1- p_{\text{H_cond_S}})\) (at which point they enter the potentially detected queue Queue 2) or compartment \(I_H\) with probability \(p_{\text{H_cond_S}}\) (at which point they enter the always detected queue Queue 1). Individuals in \(I_{S_2}\) recover at rate \(\gamma\), entering the compartment \(R_F\). Hospitalized individuals recover at rate \(h_V = \frac{1}{13}\) and move into compartment \(R_H\).
Testing Queue/PCR Testing/Measurement Model
Queue Diagrams
Queues 1 and 2 (Hospitalized patients)).
Queues 3 and 4 (Symptomatic patients)).
Description of Queue/Measurement model.
We assume that there are three groups of people
People who will always be tested (once the testing queue has been established). This includes people who were hospitalized with COVID, as well as people who were not hospitalized with COVID but whose doctors’ recommended that they get tested anyway for the purposes of treatment. For simplicity, we do not distinguish between those two groups in our model. These individuals enter Queue 1 (\(Q_1\)). These individuals are tested at the same time and with the same priority as non-COVID individuals who present in the emergency department of a New York City hospital with respiratory symptoms during the epidemic during week \(w\). (\(G(w)\)). These individuals enter Queue NC (\(Q_{\text{NC}}\)). Individuals who test positive for COVID are subsequently re-tested upon leaving the hospital, and again 24 hours after that. We assume that individuals from Queue 1 who tested positive are re-sampled 13 days after they entered Queue 1, and then again 1 more day later. The re-testing is dealt with in Queue 2, which has highest priority after Queue 1 and Queue NC.
People who could potentially be detected if their were enough testing capacity. We assume that these individuals have symptoms of COVID or flu-like symptoms, and make contact with the health care system at the same time as individuals who are hospitalized/deemed critical cases. However, they are only tested if there is enough testing capacity. In our model, these individuals are added to Queue 3 when they enter the \(I_{S_2}\) compartment. Queue 3 is precede in priority by Queues 1,NC, and 2. Samples that test positive contribute to the reported case count that day. This queue has a loss rate given by (\(\frac{1}{gamma}\)), as we assume that individuals will not seek available COVID-testing after their symptoms have gone. If there is insufficient capacity to test individuals as they arrive in Queue 4, they immediately exit the queue. Individuals who test positive in Queue 3 are re-tested two weeks after entering Queue 3, and again 24 hours later. This is dealt with in Queue 4. Samples that test positive do not contribute to the reported case count that day. Samples do not queue here-we assume that unless their is enough testing capacity, symptomatic people who recover are not sampled at the end of the quarantine period, and that the sampling performed on a given day is less than or equal to (not greater than) the surplus testing capacity (\(L_4\)) available for that category on that day.
We assume that if an individual’s sample in queue 1 or 3 is still in the queue at the time they would be expected to either leave the hospital (for Queue 1) or leave quarantine (Queue 3), then they will not be sampled again when they leave quarantine/hospital (i.e. their positive sample will not be entered into Queues 2 or 4). They will however still be tested.
We use the total number of PCR tests conducted each day across the five counties compromising New York City as measured by the New York State Health Department’s COVID tracker as the daily testing capacity for the city. This capacity is fed into the model as a co-variate (\(L(t)\)).
We assume that there is additional negative-binomial distributed dispersion after the PCR testing with standard deviation \(\sigma_{\text{M}}\).
State Variables
statenames = c("S",
sprintf("E_%d",1:M),
"I_A", "I_P",
"I_S_1", "I_S_2", "I_H",
"R_A", "R_F", "R_H",
"A_T","beta_t",
sprintf("Q_1_%d",1:V),
sprintf("P_Q1_%d",1:V),
sprintf("total_samples_for_PCR_Testing_Q1_%d",1:V),
sprintf("total_samples_for_PCR_Testing_lag_1_Q1_%d",1:V),
sprintf("total_samples_for_PCR_Testing_lag_2_Q1_%d",1:V),
"First_re_test_Q1",
"Second_re_test_Q1",
"Backlog_Queue_1",
"total_samples_for_PCR_Testing_backlog_Q1",
"total_samples_for_PCR_Testing_backlog_lag_1_Q1",
"total_samples_for_PCR_Testing_backlog_lag_2_Q1",
sprintf("Q_NC_%d",1:V),
sprintf("total_samples_for_PCR_Testing_QNC_%d",1:V),
sprintf("total_samples_for_PCR_Testing_lag_1_QNC_%d",1:V),
sprintf("total_samples_for_PCR_Testing_lag_2_QNC_%d",1:V),
"neg_samples_Q1",
"neg_samples_Q3",
"neg_samples_Q5",
"total_neg_samples_all_queues",
"Backlog_Queue_NC",
"total_samples_for_PCR_Testing_backlog_QNC",
"total_samples_for_PCR_Testing_backlog_lag_1_QNC",
"total_samples_for_PCR_Testing_backlog_lag_2_QNC",
"Q_2",
"total_samples_for_PCR_Testing_Q2",
sprintf("Q_3_%d",1:K),
sprintf("P_Q3_%d",1:K),
sprintf("total_samples_for_PCR_Testing_Q3_%d",1:K),
sprintf("total_samples_for_PCR_Testing_lag_1_Q3_%d",1:K),
sprintf("total_samples_for_PCR_Testing_lag_2_Q3_%d",1:K),
"First_re_test_Q3",
"Second_re_test_Q3",
"Backlog_Queue_3",
"total_samples_for_PCR_Testing_backlog_Q3",
"total_samples_for_PCR_Testing_backlog_lag_1_Q3",
"total_samples_for_PCR_Testing_backlog_lag_2_Q3",
"Q_4",
"total_samples_for_PCR_Testing_Q4",
"infected_sample_size",
"total_sample_size",
"prob_infected_Q5",
"total_samples_for_PCR_Testing_Q5",
"N",
"L_int",
"L_1",
"L_2",
"L_3",
"L_4",
"Prop_Positive_Tests_Track",
"C_Q1", "C_Q2",
"C_Q3", "C_Q4",
"C_QNC",
sprintf("Y_Q1_%d",1:V), sprintf("Y_QNC_%d",1:V),
sprintf("Y_Q3_%d",1:K),
"Y_Q1_backlog",
"Y_QNC_backlog",
"Y_Q3_backlog",
"Y_sum",
"G_w_y",
"Y_Q5",
"Neg_State_Value_Detected",
"NAN_State_Value_Detected",
"Error_Printing_Complete")
acumvarnames = c("C_Q1", "C_QNC", "C_Q2",
"C_Q3", "C_Q4",
sprintf("Y_Q1_%d",1:V), sprintf("Y_QNC_%d",1:V),
sprintf("Y_Q3_%d",1:K),
"Y_Q1_backlog",
"Y_QNC_backlog",
"Y_Q3_backlog",
"Y_Q5",
"Y_sum", "total_neg_samples_all_queues")
obsnames = c("Y", "obs_prop_positive")Table of State Variables
Start Date
We use a simulation start date of March 1st, but also assume that there was already community transmission at that point. Source for assumption that community transmission was perhaps already occurring by March 1st: https://www.medrxiv.org/content/medrxiv/early/2020/04/16/2020.04.08.20056929.full.pdf
Parameters
paramnames = c("M_0","V_0", "K_0",
"phi_U", "phi_E", "phi_S", "h_V",
"p_S", "p_H_cond_S",
"gamma",
"quarantine_start_time",
"social_distancing_start_time",
"PCR_sens",
"b_q", "b_a", "b_p",
"R_0",
"E_0", "z_0", "N_0", "C_0", "sigma_M",
"beta_w_3", "beta_w_2",
"beta_w_1", "beta_w_0",
"g_0", "g_F",
"sigma_epsilon",
"G_w_y_scaling")Table of Parameters
ODE Equations
Baseline Transmission Rate
\[\begin{equation} \text{total_time_infected} = \frac{1}{\gamma} + \frac{1}{\phi_{\text{S}}}; \end{equation}\]
\[\begin{equation} \beta_{\text{0}} = \frac{R_{\text{0}}} {\text{total_time_infected}} \end{equation}\]
\[\begin{equation} \beta_{\text{1}} = b_{\text{q}} \beta_{\text{0}} \end{equation}\]
if t <= social_distancing_start_time :
\[\begin{equation} \beta(t) = \beta_{\text{0}} \end{equation}\]
else if social_distancing_start_time < t <= quarantine_start_time:
\[\begin{equation} m_q = \frac{\beta_{\text{1}} - \beta_{\text{0}}}{quarantine_start_time - social_distancing_start_time} \end{equation}\]
\[\begin{equation} \beta(t) = \beta_{\text{0}}+m_q*(t-social_distancing_start_time) \end{equation}\]
else if t > quarantine_start_time: \[\begin{equation} \beta(t) = \beta_{\text{1}} \end{equation}\]
Transmission Rate in Pre-symptomatic Compartments
\[\begin{equation} \beta_{\text{p}}(t) = b_{\text{p}}\beta(t) \end{equation}\]
Transmission Rate in Asymptomatic Compartments
\[\begin{equation} \beta_{\text{a}}(t) = b_{\text{a}}\beta(t) \end{equation}\]
Force of Infection
Note that we use $_{}(t) $ to refer to the force of infection in the equations, which corresponds to \(\lambda(t)\) in the process model diagram.
\[\begin{equation} \lambda_{\text{FOI}}(t) = \frac{\beta(t)[( I_{S}(t)) + ( I_{F}(t))] + \beta_{\text{a}}(t)[I_A(t)] + \beta_{\text{p}}(t)[I_P(t)]}{N} \end{equation}\]
Loss Rates
We assume all hospitalized individuals are sampled if the queue is operational, so:
\[\begin{equation} \mu_{\text{1}} = 0 \end{equation}\]
The symptomatic queue, however, does have a loss rate.
\[\begin{equation} \mu_{\text{2}} = \gamma \end{equation}\]
Process Model Compartment Equations
\[\begin{equation} \frac{dS}{dt} = - (\lambda_{\text{FOI}}(t) ) S(t) \end{equation}\]
For exposed compartment \(E_m\) where \(m = 1\): \[\begin{equation} \frac{dE_1}{dt} = (\lambda_{\text{FOI}}(t) ) S(t) -\phi_{\text{E}} E_1 (t) \end{equation}\]
For exposed compartment \(E_m\) where $ 1 < m <= M$:
\[\begin{equation} \frac{dE_m}{dt} = \phi_{\text{E}} E_{m-1}(t) -\phi_{\text{E}} E_m (t) \end{equation}\]
\[\begin{equation} \frac{dI_{\text{P}}}{dt} = \phi_{\text{E}} E_M(t) - \phi_{\text{U}}I_{\text{P}}(t) \end{equation}\]
\[\begin{equation} \frac{dI_{\text{S}_1}}{dt} = p_{\text{S}} \phi_{\text{U}}I_{\text{P}}(t) - \phi_{\text{S}}I_{\text{S}_1}(t) \end{equation}\]
\[\begin{equation} \frac{dI_{\text{H}}}{dt} = p_{\text{H_cond_S}}\phi_{\text{S}}I_{\text{S}_1}(t) -h_{\text{V}}I_{\text{H}}(t) \end{equation}\]
\[\begin{equation} \frac{dI_{\text{S_2}}}{dt} = (1-p_{\text{H_cond_S}})\phi_{\text{S}}I_{\text{S}_1}(t) -\gamma I_{\text{S}_2}(t) \end{equation}\]
\[\begin{equation} \frac{dI_{\text{A}}}{dt} = (1 - p_{\text{S}}) \phi_{\text{U}}I_{\text{P}}(t) - \phi_{\text{S}} I_{\text{A}} \end{equation}\]
\[\begin{equation} \frac{dR_{\text{A}}}{dt} = \phi_{\text{S}} I_{\text{A}} \end{equation}\]
\[\begin{equation} \frac{dR_{\text{F}}}{dt} = \gamma I_{\text{S}_2}(t) \end{equation}\]
\[\begin{equation} \frac{dR_{\text{H}}}{dt} = h_{\text{V}}I_{\text{H}}(t) \end{equation}\]
Equations for model with demographic stochasticity
Rates in continuous time: \[\begin{equation} \mu_{SE_1} = \lambda_{\text{FOI}}(t) \end{equation}\] For \(1<= m < M\) \[\begin{equation} \mu_{E_{m} E_{m+1}} = \phi_{\text{E}} \end{equation}\]
\[\begin{equation} \mu_{E_{\text{M}} I_{\text{P}}} = \phi_{\text{E}} \end{equation}\]
\[\begin{equation} \mu_{I_{\text{P}} I_{\text{A}}} = (1-p_{\text{S}}) \phi_{\text{U}} \end{equation}\]
\[\begin{equation} \mu_{I_{\text{M}} I_{\text{S}_1}} = p_{\text{S}} \phi_{\text{U}} \end{equation}\]
\[\begin{equation} \mu_{I_{\text{S}_1} I_{\text{H}}} = p_{\text{H_cond_S}}\phi_{\text{S}} \end{equation}\]
\[\begin{equation} \mu_{I_{\text{S}_1} I_{\text{S}_2}} = (1-p_{\text{H_cond_S}})\phi_{\text{S}} \end{equation}\]
\[\begin{equation} \mu_{I_{\text{F}} R_{\text{F}}} = \gamma \end{equation}\]
\[\begin{equation} \mu_{I_{\text{A}} R_{\text{A}}} = \phi_{\text{S}} \end{equation}\]
\[\begin{equation} \mu_{I_{\text{H}} R_{\text{H}}} = h_{\text{V}} \end{equation}\]
Discretizations
Discretizations of transitions in susceptible, asymptomatic infected, hospitalized infected, and flu-like infected individuals
\[\begin{equation} \Delta \tilde N_{S E_1} \sim Binomial (\tilde S(t), 1 - e^{-\mu_{S E_1} \Delta t }) \end{equation}\]
For integer \(m\) such that \(1 <= m < M\):
\[\begin{equation} \Delta \tilde N_{E_{m} E_{m+1}} \sim Binomial (\tilde E_{\text{m}}(t), 1 - e^{-\mu_{E_{m} E_{m + 1}} \Delta t }) \end{equation}\]
\[\begin{equation} \Delta \tilde N_{E_{\text{M}} I_{\text{P}}} \sim Binomial (\tilde E_{\text{M}}(t), 1 - e^{-\mu_{E_{\text{M}} I_{\text{P}}} \Delta t }) \end{equation}\]
\[\begin{equation} \Delta \tilde N_{I_{\text{S_2}} R_{\text{F}}} \sim Binomial (\tilde I_{\text{S_2}}(t), 1 - e^{-\mu_{I_{\text{S_2}} R_{\text{F}}} \Delta t }) \end{equation}\]
\[\begin{equation} \Delta \tilde N_{I_{\text{A}} R_{\text{A}}} \sim Binomial (\tilde I_{\text{A}}(t), 1 - e^{-\mu_{I_{\text{A}} R_{\text{A}}} \Delta t }) \end{equation}\]
\[\begin{equation} \Delta \tilde N_{I_{\text{H}} R_{\text{H}}} \sim Binomial (\tilde I_{\text{H}}(t), 1 - e^{-\mu_{I_{\text{H}} R_{\text{H}}} \Delta t }) \end{equation}\]
Eulermultinomial discretization of compartment flows from time \(t\) to time \(t + \Delta t\)
Several compartments (the \(I_{\text{P}}\) and \(I_{\text{S}_1}\) compartments in particular) have more than one exit at each time step (presymptomatic individuals can either develop symptomatic or asymptomatic infection, and symptomatic infected individuals either move to the hospital or develop flu-like symptoms). Instead of a binomial transition probability, we thus use the Euler multinomial distribution to model transition events using the function reulermultinom in the R package pomp as described by He and Ionides (D. He, E. L. Ionides, & A. A. King, Plug-and-play inference for disease dynamics: measles in large and small populations as a case study. J. R. Soc. Interface, 7:271–283, 2010. ).
We use the implemention of eulermultinomial transitions in https://raw.githubusercontent.com/kingaa/sbied/master/measles/measles.R as a guide, although we are not using environmental noise here.
We summarize briefly that function here. Given a population \(X\), a time interval \(\Delta t\), and a set of rates \(r_1 ... r_k\), the number of individuals remaining in that class or moving to other classes is multinomially distributed:
\[\begin{equation} (X-\sum_{i=1}^k (dx_i), dx_1, …, dx_k) \sim Multinomial(X;p_0,p_1,…,p_k) \end{equation}\]
Each probability \(p_j\) where \(j= 1 ... k\) is calculated as follows:
\[\begin{equation} p_j=(1-exp(-\sum_{i = 1}^k (r_i \Delta t))) \frac{r_j}{(\sum_{i= 1}^k (r_i))} \end{equation}\]
For our model:
\[\begin{equation} (\tilde I_{\text{P}}(t) - \Delta \tilde N_{I_{\text{P}} I_{\text{A}}} - \Delta \tilde N_{I_{\text{P}} I_{\text{S}_1}}, \Delta \tilde N_{I_{\text{P}} I_{\text{A}}}, \Delta \tilde N_{I_{\text{P}} I_{\text{S}_1}}) \sim reulermultinomial (\tilde I_{\text{P}}(t), \mu_{I_{\text{P}} I_{\text{A}}}, \mu_{I_{\text{P}} I_{\text{S}_1}}, \Delta t) \end{equation}\]
\[\begin{equation} (\tilde I_{\text{S}_1}(t) - \Delta \tilde N_{I_{\text{S}_1} I_{\text{S}_2}} - \Delta \tilde N_{I_{\text{S}_1} I_{\text{H}}}, \Delta \tilde N_{I_{\text{S}_1} I_{\text{S}_2}}, \Delta \tilde N_{I_{\text{S}_1} I_{\text{H}}}) \sim reulermultinomial (\tilde I_{\text{S}_1}(t), \mu_{I_{\text{S}_1} I_{\text{S}_2}}, \mu_{I_{\text{S}_1} I_{\text{H}}}, \Delta t) \end{equation}\]
Compartment transitions
\[\begin{equation} \Delta \tilde S = - \Delta \tilde N_{S E_{1}} \end{equation}\]
\[\begin{equation} \Delta \tilde E_1 = \Delta \tilde N_{S E_1} - \Delta \tilde N_{E_1 E_{2}} \end{equation}\]
For integer \(m\) in \(1 < m < M\):
\[\begin{equation} \Delta \tilde E_m = \Delta \tilde N_{E_{m-1} E_{m}} - \Delta \tilde N_{E_{m} E_{m+1}} \end{equation}\]
\[\begin{equation} \Delta \tilde E_M = \Delta \tilde N_{E_{M-1} E_{M}} - N_{E_{M} I_{\text{P}}} \end{equation}\]
\[\begin{equation} \Delta \tilde I_{\text{P}} = \Delta N_{E_{M} I_{\text{P}}} - \Delta \tilde N_{I_{\text{P}} I_{\text{S_1}}} - \Delta \tilde N_{I_{\text{P}} I_{\text{A}}} \end{equation}\]
\[\begin{equation} \Delta \tilde I_{\text{S}_1} = \Delta \tilde N_{I_{\text{P}} I_{\text{S_1}}} - \Delta \tilde N_{I_{\text{S}_1} I_{\text{S}_2}} - \Delta \tilde N_{I_{\text{S}_1} I_{\text{H}}} \end{equation}\]
\[\begin{equation} \Delta \tilde I_{\text{S}_2} = \Delta \tilde N_{I_{\text{S}_1} I_{\text{S}_2}} - \Delta \tilde N_{I_{\text{S}_2} R_{\text{F}}} \end{equation}\]
\[\begin{equation} \Delta \tilde I_{\text{H}} = \Delta \tilde N_{I_{\text{S}} I_{\text{H}}} - \Delta \tilde N_{I_{\text{H}} R_{\text{H}}} \end{equation}\]
\[\begin{equation} \Delta \tilde I_{\text{A}} = \Delta \tilde N_{I_{\text{P}} I_{\text{A}}} - \Delta \tilde N_{I_{\text{A}} R_{\text{A}}} \end{equation}\]
\[\begin{equation} \Delta \tilde R_{\text{A}} = \Delta \tilde N_{I_{\text{A}} R_{\text{A}}} \end{equation}\]
\[\begin{equation} \Delta \tilde R_{\text{F}} = \Delta \tilde N_{I_{\text{S}_2} R_{\text{F}}} \end{equation}\]
\[\begin{equation} \Delta \tilde R_{\text{H}} = \Delta \tilde N_{I_{\text{H}} R_{\text{H}}} \end{equation}\]
\[\begin{equation} \Delta \tilde C_{\text{Q1}} = \Delta \tilde N_{I_{\text{S}_1} I_{\text{H}}} \end{equation}\]
\[\begin{equation} \Delta \tilde C_{\text{QNC}} = G(w,y) \end{equation}\]
\[\begin{equation} \Delta \tilde C_{\text{Q3}} = \Delta \tilde N_{I_{\text{S}_1} I_{\text{S}_2}} \end{equation}\]
Non-Flu Case Equations
Let \(G(w,y)\) be the number of non-COVID respiratory syndrome cases presenting in the ED of hosptials in NYC in week \(w\) of year \(y\).
\[\begin{equation} G(w,y) = g_0 + g_{\text{F}} F(w,y) + \beta_{\text{w}^3}w^3 + \beta_{\text{w}^2}w^2 + \beta_{\text{w}^1}w + \beta_{\text{w}^0} + \epsilon \end{equation}\]
where \(F(w,y)\) is the number of confirmed flu cases in NYC, and:
\[\begin{equation} \epsilon \sim rnorm(0,\sigma_{\epsilon}) \end{equation}\]
We multiply \(G(w,y)\) by the probabilty that an individual who shows up to the emergency deparmtnet with respiratory symptoms is severe enough to merit testing for COVID-19. Since we do not know this esimate, we use the ratio of indiviudals aged 65 or older who were hosptialized for flu (279,384) to the number of indivduasl aged 65 or older who had a medical visit for flu during the 2018-2019 flu season (1,721,007). This value was found here in “Table 1: Estimated influenza disease burden, by age group — United States, 2018-2019 influenza season”: https://www.cdc.gov/flu/about/burden/2018-2019.html
The value we use for this scaling is 0.162.
\[\begin{equation} G(w,y) = 0.162 g_0 + g_{\text{F}} F(w,y) + \beta_{\text{w}^3}w^3 + \beta_{\text{w}^2}w^2 + \beta_{\text{w}^1}w + \beta_{\text{w}^0} + \epsilon \end{equation}\]
Load data and covariates for model
Define start date
true_start_date = as.Date("2020-03-01")
t0 = 0
start_of_year = as.Date("2020-01-01")
first_saturday_in_year = as.Date("2020-01-04")Load COVID testing data
NYC_full_testing_data = read.csv("../Generated_Data/NYC_full_testing_data.csv")
head(NYC_full_testing_data)## Test.Date New_Positives Cumulative_Number_of_Positives
## 1 03/02/2020 0 0
## 2 03/03/2020 0 0
## 3 03/04/2020 2 2
## 4 03/05/2020 2 4
## 5 03/06/2020 7 11
## 6 03/07/2020 0 11
## Total_Number_of_Tests_Performed Cumulative_Number_of_Tests_Performed
## 1 0 0
## 2 8 8
## 3 8 16
## 4 36 52
## 5 45 97
## 6 64 161
## Prop_Pos Not_Pos Date
## 1 NA 0 2020-03-02
## 2 0.00000000 8 2020-03-03
## 3 0.25000000 6 2020-03-04
## 4 0.05555556 34 2020-03-05
## 5 0.15555556 38 2020-03-06
## 6 0.00000000 64 2020-03-07Observed_data = NYC_full_testing_data %>%
mutate(times = as.numeric(as.Date(Date) - true_start_date)) %>%
select(Y = New_Positives, times,
obs_prop_positive = Prop_Pos)
Observed_data = Observed_data %>%
filter(times < 90)
head(Observed_data)## Y times obs_prop_positive
## 1 0 1 NA
## 2 0 2 0.00000000
## 3 2 3 0.25000000
## 4 2 4 0.05555556
## 5 7 5 0.15555556
## 6 0 6 0.00000000write.csv(Observed_data,
file = paste0("../Generated_Data/observed_data_", model_name, ".csv"),
row.names = FALSE)Load in testing data covariates
testing_data = NYC_full_testing_data %>%
select(L = Total_Number_of_Tests_Performed, Date)
orig_testing_df = testing_data %>%
mutate(times = as.numeric(as.Date(Date) - true_start_date)) %>%
dplyr::select(times,L_orig = L)
testing_data = testing_data %>%
mutate(Adj_Date = as.Date(Date) -2) %>%
mutate(times = as.numeric(Adj_Date - true_start_date)) %>%
mutate(Week = (ceiling(as.numeric(Adj_Date - first_saturday_in_year)/7)) + 1,
Year = year(Adj_Date)) %>%
dplyr::select(times,L_advanced_2_days = L, Week, Year)
testing_data = join(testing_data, orig_testing_df)## Joining by: times # Assign 0 to start date orig testing
testing_data$L_orig[1] = 0
testing_data$L_orig[2] = 0Load in Flu data
Load in
NYC_region_confirmed_flucases_NY_state_2020 = read.csv(
file = "../Generated_Data/NYC_region_confirmed_flucases_NY_state_2020.csv")
NYC_flu_data = NYC_region_confirmed_flucases_NY_state_2020 %>%
dplyr::select(Week = Week, Year = Year, F_w_y = Confirmed_Flu_Cases)Adjust-assume that 0 cases were reported in later weeks (when surveillance was halted).
flu_data_missing_weeks = data.frame(Week = seq(from = max(NYC_flu_data$Week) +1,
to = max(testing_data$Week) +1),
Year = 2020,
F_w_y = 0)
NYC_flu_data_adj = rbind(NYC_flu_data,
flu_data_missing_weeks)Assemble covariate data frame
covariate_df = join(testing_data,
NYC_flu_data_adj,
by = c("Week", "Year"))
head(covariate_df)## times L_advanced_2_days Week Year L_orig F_w_y
## 1 -1 0 9 2020 0 2700
## 2 0 8 10 2020 0 2413
## 3 1 8 10 2020 0 2413
## 4 2 36 10 2020 8 2413
## 5 3 45 10 2020 8 2413
## 6 4 64 10 2020 36 2413write.csv(covariate_df,
file = paste0("../Generated_Data/covariate_data_", model_name, ".csv"),
row.names = FALSE)Create covariate table
# ---- covar ----
covar=covariate_table(
time=covariate_df$times,
L_advanced_2_days=covariate_df$L_advanced_2_days,
L_orig = covariate_df$L_orig,
F_w_y = covariate_df$F_w_y,
w = covariate_df$Week,
y = covariate_df$Year,
times="time"
)fitted_NC_model_params = read.csv(
file = "../Generated_Data/fitted_NC_model_params.csv")
g_F = fitted_NC_model_params$g_F/7
g_0 = fitted_NC_model_params$g_0/7
beta_w_3 = fitted_NC_model_params$Beta_w_3/7
beta_w_2 = fitted_NC_model_params$Beta_w_2/7
beta_w_1 = fitted_NC_model_params$Beta_w_1/7
beta_w_0 = fitted_NC_model_params$Beta_w_0/7
sigma_epsilon = fitted_NC_model_params$sigma_epsilon/7
g_F## [1] 0.1162005g_0## [1] 1183.3beta_w_3## [1] 0.01215073beta_w_2## [1] 0.9810086beta_w_1## [1] -37.23481beta_w_0## [1] 229.4094sigma_epsilon## [1] 109.1121fitted_NC_model_params = data.frame(g_F = g_F, g_0 =g_0, beta_w_2 = beta_w_2,
beta_w_1 = beta_w_1,
beta_w_0 = beta_w_0,
sigma_epsilon = sigma_epsilon)Motivating Literature and Justification of Compartment Numbers
We follow the results of Mizuomoto et al (Eurosurveilance 2020) from the Diamond Princess Cruise-ship outbreak.
https://www.eurosurveillance.org/content/10.2807/1560-7917.ES.2020.25.10.2000180#html_fulltext
In their model, they assume that individuals experience an incubation period between the time of infection and the onset of symptoms which is given by a Weibull distribution with mean 6.4 days and standard deviation of 2.3 days (they cite Backer et al for justification).
They assume that some proportion \(p\) of those infections never become symptomatic (these are the asymptomatic infections).
We will build on their model here. We will use a Gamma distribution to approximate the weibull. This gamma distribution will be approximated using a chain of exponentially distributed compartments.
A key question that is important for model structure is whether individuals can transmit during the period when they are asymptomatic. Some models focus on pre-symptomatic transmission, assuming that are all individuals who are infected with COVID initially have a period of pre-symptomatic transmission. Some individuals never go on to develop symptoms.
In these models, this pre-symptomatic transmission can be modeled by allowing individuals to transmit at a reduced rate during the later stages of the incubation period essentially partitioning what Backer et al consider the incubation period into two compartments: a latent period where no transmission occurs and a pre-symptomatic transmission period where transmission can occur.
Other models view asymptomatic transmission as a bifurcation-that is, some individuals are able to transmit asymptomatically while others develop symptoms.
We combine both approaches in our model.
We assume following Backer et al that the time between infection and the onset of symptoms follows a gamma distribution with mean 6.5 days and variance 2.6 days. This is approximated using a chain of 6 compartments with an exponentially distributed average time of 13/12 days spent in each compartment. However, we then assume that during the first 3 compartments, no infected individuals can transmit (these are the Exposed Compartments \(E_m\)). For the fraction \(p_S\) of individuals leaving the last exposed compartment who will develop symptoms, we treat the remaining 3 compartments as the pre-symptomatic transmission period \(I_{P_q}\).
Asymptomatic individuals (fraction \(1-p_S\) of individuals leaving the last exposed compartment) instead start transmitting asymptomatically for an average of 5 days (\(\phi_S = 1/5\)). We assume here that asymptomatic individuals transmit for the same amount of time as the duration between the onset of symptoms and the time of sampling in symptomatic individuals.
More info on asymptomatic transmission: https://wwwnc.cdc.gov/eid/article/26/7/20-1595_article
Nishiura et al obtain a different estimate of the incubation period-namely an incubation period of 5.0 days and a serial interval of 4 days, which would suggest that (in our model) inidivduals spend about 4 days in the exposed class and 1 day in the pre-symptomatic class. https://www-sciencedirect-com.proxy.uchicago.edu/science/article/pii/S1201971220301193
In their paper, median serial interval of the best-fit Weibull distribution model was estimated at 4.6 days (95% CI: 3.5, 5.9) with a mean and SD of 4.8 days (95% CrI: 3.8, 6.1) and 2.3 days (95% CrI: 1.6, 3.5),
Lognormal: . “The median serial interval was estimated at 4.0 days (95% credible interval [CrI]: 3.1, 4.9) while the mean and standard deviation (SD) of the serial interval were estimated at 4.7 days (95% CrI: 3.7, 6.0) and 2.9 days (95% CrI: 1.9, 4.9), respectively. Without truncation, the model using the lognormal distribution was also the best-fit model (WAIC = 128.0) with the median serial interval estimated at 3.9 days (95% CrI: 3.1, 4.8).”
We use Lauer et al here: https://www.acpjournals.org/doi/10.7326/M20-0504#t4-M200504
Determining number of total compartments V
Let us then parameter the distribution assuming that we know \(\mu_V\) and \(V\) (the number of Exposed compartments).
Writing the \(\Gamma\) distribution in the form of shape \(V\) and rate \(\lambda_V\) we have:
\[\begin{equation} \Gamma(V, \lambda_V) \sim \sum_{m = 1}^V exp(\lambda_V) \end{equation}\]
In the case of Lauer et al, \(V = 5.807\), and \(\lambda_V = 1/ 0.948\) or \(\lambda_V = 1.054852\)
Now re-writing the \(\Gamma\) distribution in terms of mean and variance we have:
\[\begin{equation} \Gamma(\frac{V}{\lambda_V}, \frac{V}{\lambda_V^2}) \sim \sum_{m = 1}^V exp(\lambda_V) \end{equation}\]
Solve for \(\lambda_V\):
\[\begin{equation} \mu_E = \frac{V}{\lambda_V} \end{equation}\]
\[\begin{equation} \lambda_V = \frac{V}{\mu_E} \end{equation}\]
Plugging in, we obtain:
\[\begin{equation} \mu_E = \frac{5.807}{1.054852} \end{equation}\]
\[\begin{equation} \mu_E = 5.505038 \end{equation}\]
Solve for the variance of the resulting \(Gamma\) distributed duration of infection:
\[\begin{equation} \sigma^2_E = \frac{V}{\lambda_V^2} \end{equation}\]
\[\begin{equation} \sigma^2_E = \frac{V}{(\frac{V}{\mu_E})^2} \end{equation}\]
\[\begin{equation} \sigma^2_E = \frac{V}{\frac{V^2}{\mu_E^2}} \end{equation}\]
\[\begin{equation} \sigma^2_E = \frac{\mu_E^2 V}{V^2} \end{equation}\]
\[\begin{equation} \sigma^2_E = \frac{\mu_E^2}{V} \end{equation}\]
Plugging in \[\begin{equation} \sigma^2_E = \frac{5.505038^2}{5.807} \end{equation}\]
\[\begin{equation} \sigma^2_E = 5.218778 \end{equation}\]
\[\begin{equation} \sigma_E = 2.284464 \end{equation}\]
Note that for a given mean, increasing the number of compartments decreases the variance.
We will use \(V=6\), corresponding to 6 compartments, but set $_V $ to obtain the observed mean of 5.505038 days.
\[\begin{equation} \lambda_V = \frac{V}{\mu_E} \end{equation}\]
\[\begin{equation} \lambda_V = \frac{6}{5.505038} \end{equation}\]
\[\begin{equation} \lambda_V = 1.09 \end{equation}\]
The actual standard deviation of the gamma distribution is \[\begin{equation} \sigma^2_E = \frac{\mu_E^2}{V} \end{equation}\]
\[\begin{equation} \sigma^2_E = \frac{5.505038^2}{6} \end{equation}\]
\[\begin{equation} \sigma^2_E = 5.050907 \end{equation}\]
\[\begin{equation} \sigma_E = 2.25 \end{equation}\]
Our approximation of the incubation period is equivalent to a gamma distribution with mean 5.5 days and standard deviation 2.25, compared to a gamma distribution with mean 5.5 and standard deviation 2.28 from Lauer et al.
For ease of notation, we will use \(\phi_E\) to refer to \(\lambda_V\) to avoid confusion with the force of infection.
We are using \(V= 6\) compartments with \(\phi_E = 1.09\), which means that each individual spends about \(0.92\) days in each compartment (around 1 day) although of course this is an approximation.
Estimating the number of compartments with pre-symptomatic transmission
A model fit to COVID day in Hong Kong estimated the length of the pre-symptomatic transmission period to be 3.49 days, although with a wide posterior (Yuan et al) (Posterior distribution 0.48-5.80). Source (https://doi.org/10.1101/2020.05.03.20089482)
In terms of clinical data, a study of a retirement home in the state of Washington found evidence of pre-symptomatic transmission.
Source:
Kimball A, Hatfield KM, Arons M, et al. Asymptomatic and Presymptomatic SARS-CoV-2 Infections in Residents of a Long-Term Care Skilled Nursing Facility — King County, Washington, March 2020. MMWR Morb Mortal Wkly Rep 2020;69:377–381. DOI: http://dx.doi.org/10.15585/mmwr.mm6913e1
Patients were sampled twice. Of 13 patients who were asymptomatic during the first testing, 10 became symptomatic within 1 week. Asymptomatic patients had low C_t values, suggesting potential for transmission even though they were asymptomatic.
A second study from Singapore looking at travelers from China found indications of asymptomatic transmission.
Source: Wei WE, Li Z, Chiew CJ, Yong SE, Toh MP, Lee VJ. Presymptomatic Transmission of SARS-CoV-2 — Singapore, January 23–March 16, 2020. MMWR Morb Mortal Wkly Rep 2020;69:411–415. DOI: http://dx.doi.org/10.15585/mmwr.mm6914e1
Last study (cluster in Zhoushan)-evidence of asymptomatic transmission, not necessarily pre-symptomatic.
Source: Tong Z, Tang A, Li K, Li P, Wang H, Yi J, et al. Potential Presymptomatic Transmission of SARS-CoV-2, Zhejiang Province, China, 2020. Emerg Infect Dis. 2020;26(5):1052-1054. https://dx.doi.org/10.3201/eid2605.200198
Our model’s treatment of the pre-symptomatic period
The pre-symptomatic transmission chain \(I_{P}\) has 1 compartments (\(U=1\)). The average duration that they spend in those compartments will be around 0.92 days in line with Nishiura et al https://www-sciencedirect-com.proxy.uchicago.edu/science/article/pii/S1201971220301193 . The time spent across the \(I_P\) compartment will be exponentially disrtributed with mean \(0.92\) days. Thus, in terms of the total incubation period of 5 compartments, 4 will be represented as Exposed compartments and 1 as an Infected Presymptomatic Compartment.
low_025 = qgamma(p = 0.025, shape = 3, rate= 12/13)
upper_975 = qgamma(p = 0.975, shape = 3, rate= 12/13)
low_025## [1] 0.6702281upper_975## [1] 7.826745nishiura_median_serial_interval = 3.9
dist_comp = data.frame(lauer_gamma_dist = rgamma(n = 1000, shape = 5.807,
scale = 0.948))
p = ggplot(data = dist_comp,
aes(x = lauer_gamma_dist)) +
geom_density()
p
backer_gamma_mean = 6.5
backer_gamma_sd = 2.6
backer_gamma_shape =backer_gamma_mean^2/backer_gamma_sd^2
backer_gamma_rate = backer_gamma_shape/backer_gamma_mean
dist_comp$backer_gamma_dist = rgamma(n = 1000, shape = backer_gamma_shape,
rate = backer_gamma_rate)
dist_comp_melt = melt(dist_comp)## No id variables; using all as measure variablesp = ggplot(data = dist_comp_melt,
aes(x = value, color = variable)) +
geom_density() + geom_vline(xintercept = median(dist_comp$backer_gamma_dist), color = 'blue', show.legend = TRUE, name = "backer_median") + geom_vline(xintercept = median(dist_comp$lauer_gamma_dist), color = 'red', show.legend = TRUE, name = "lauer_median") ## Warning: Ignoring unknown parameters: name
## Warning: Ignoring unknown parameters: namep
lauer_approx_comp = dist_comp %>%
dplyr::select(lauer_gamma_dist)
lauer_approx_comp$total_time_in_E_and_I_P_chain = rgamma(n = 1000, shape = 6,
rate = 1.09)
lauer_approx_comp_melt = melt(lauer_approx_comp)## No id variables; using all as measure variablesp = ggplot(data = lauer_approx_comp_melt,
aes(x = value, color = variable)) +
geom_density() +
geom_vline(xintercept = median(lauer_approx_comp$total_time_in_E_and_I_P_chain), color = 'blue', show.legend = TRUE, name = "total_time_in_E_and_I_P_median") + geom_vline(xintercept = median(lauer_approx_comp$lauer_gamma_dist), color = 'red', show.legend = TRUE, name = "lauer_median") ## Warning: Ignoring unknown parameters: name
## Warning: Ignoring unknown parameters: namep
model_chain_comp_df = lauer_approx_comp %>%
dplyr::select(total_time_in_E_and_I_P_chain)
model_chain_comp_df$total_time_in_E_chain = rgamma(n = 1000, shape = 5,
rate = 1.09)
model_comp_melt = melt(model_chain_comp_df)## No id variables; using all as measure variablesp = ggplot(data = model_comp_melt,
aes(x = value, color = variable)) +
geom_density() +
geom_vline(xintercept = median(model_chain_comp_df$total_time_in_E_and_I_P_chain), color = 'red', show.legend = TRUE, name = "total_time_in_E_and_I_P_median") + geom_vline(xintercept = median(model_chain_comp_df$total_time_in_E_chain), color = 'blue', show.legend = TRUE, name = "time_in_E_chain") + geom_vline(xintercept = nishiura_median_serial_interval, color = 'darkgreen', show.legend = TRUE, name = "nishiura_median_serial_interval")## Warning: Ignoring unknown parameters: name
## Warning: Ignoring unknown parameters: name
## Warning: Ignoring unknown parameters: namep
median(dist_comp$lauer_gamma_dist)## [1] 5.3556median(dist_comp$backer_gamma_dist)## [1] 6.147902gamma_vs_exp_comp = model_chain_comp_df %>%
dplyr::select(total_time_in_E_chain)
gamma_vs_exp_comp$exp_approx = rexp(n = 1000,rate = 1/(5*(1/1.09)))
gamma_vs_exp_comp_melt = melt(gamma_vs_exp_comp)## No id variables; using all as measure variablesp = ggplot(data = gamma_vs_exp_comp_melt,
aes(x = value, color = variable)) +
geom_density() +
geom_vline(xintercept = median(gamma_vs_exp_comp$exp_approx), color = 'blue', show.legend = TRUE, name = "total_time_in_E_median") + geom_vline(xintercept = median(gamma_vs_exp_comp$total_time_in_E_chain), color = 'red', show.legend = TRUE, name = "E_approx_median") ## Warning: Ignoring unknown parameters: name
## Warning: Ignoring unknown parameters: namep
Capacity Calculations
We have the line \[\begin{equation} L_{\text{int}} = \text{nearbyint}(L) \end{equation}\] The variable \(L_{\text{int}}\) is used later in the code instead of \(L\). This line of code is where we will decide which covariate to feed in as the testing capacity.
Note that we advance the testing capacity by 2 days from the observed value, since the testing capacity on day \(t\) will correspond to the number of tests conducted on day \(t+2\).
\[\begin{equation} L_{\text{int}} = \text{nearbyint}(L_{\text{total_pos_advnaced_2_days}}) \end{equation}\]
Queue 1
Initial states
\[\begin{equation} \text{neg_samples}_{Q1}(t) = 0 \end{equation}\]
Add new cases to Q1
\[\begin{equation} Q_{1_1}(t) = Q_{1_1}(t) + C_{Q1}(t) \end{equation}\]
Add new cases to Q_NC
\[\begin{equation} Q_{NC_1}(t) = Q_{NC_1}(t) + C_{QNC}(t) \end{equation}\]
Determine number of samples that will be tested from the backlog of Queue 1
First, deal with backlog Calculate total backlog for Q1 and QNC \[\begin{equation} \text{total_samples_for_PCR_Testing_backlog_always_test} = \\text{Backlog_Queue_1}(t), \text{Backlog_Queue_{\text{NC}}}(t) \end{equation}\]
If Backlog is greater than testing capacity (i.e. \(\text{total_samples_for_PCR_Testing_backlog_always_test} > L_{\text{int}}(t)\):
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog}_{text{Q1}} \sim hypergeom(\text{Backlog_Queue_1}(t), \text{Backlog_Queue_{\text{NC}}}(t), L_{\text{int}}(t)) \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog}_{text{QNC}} = L_{\text{int}}(t)) - \text{total_samples_for_PCR_Testing_backlog}_{text{Q1}} \end{equation}\]
\[\begin{equation} \text{Backlog_Queue_1}(t) = \text{Backlog_Queue_1}(t) - \text{total_samples_for_PCR_Testing_backlog}_{text{Q1}} \end{equation}\]
\[\begin{equation} \text{Backlog_Queue_NC}(t) = \text{Backlog_Queue_NC}(t) - \text{total_samples_for_PCR_Testing_backlog}_{text{QNC}} \end{equation}\]
\[\begin{equation} L_1(t) = 0 \end{equation}\]
Else (if the testing capcity is greater than the backlog):
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog}_{\text{Q1}} = \text{Backlog_Queue_1}(t) \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog}_{\text{QNC}} = \text{Backlog_Queue_NC}(t) \end{equation}\]
\[\begin{equation} L_1(t) = L_{\text{int}}(t) - \text{total_samples_for_PCR_Testing_backlog}_{\text{Q1}} - \text{total_samples_for_PCR_Testing_backlog}_{\text{QNC}} \end{equation}\]
\[\begin{equation} \text{Backlog_Queue_1}(t) = 0 \end{equation}\]
\[\begin{equation} \text{Backlog_Queue_NC}(t) = 0 \end{equation}\]
Simulate PCR for backlogged cases in Q1
\[\begin{equation} Y_{Q1_{\text{backlog}}}(t) = \sim Binomial(\text{total_samples_for_PCR_Testing_backlog_lag_2}_{\text{Q1}}, \text{PCR_sens}) \end{equation}\]
\[\begin{equation} Y_{QNC_{\text{backlog}}}(t) = \text{total_samples_for_PCR_Testing_backlog_lag_2}_{\text{QNC}} \end{equation}\]
\[\begin{equation} \text{neg_samples_Q1}_{Q1}(t) = \text{neg_samples}_{Q1}(t) + \text{total_samples_for_PCR_Testing_backlog_lag_2}_{\text{Q1}} - Y_{Q1}(t) \end{equation}\]
Update PCR testing compartments for Q1 backlog
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog_lag_2}_{\text{Q1}} = \text{total_samples_for_PCR_Testing_backlog_lag_1}_{\text{Q1}} \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog_lag_2}_{\text{QNC}} = \text{total_samples_for_PCR_Testing_backlog_lag_1}_{\text{QNC}} \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog_lag_1}_{\text{Q1}} = \text{total_samples_for_PCR_Testing_backlog}_{\text{Q1}} \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog_lag_1}_{\text{QNC}} = \text{total_samples_for_PCR_Testing_backlog}_{\text{QNC}} \end{equation}\]
Determine number of samples that will be tested from each sampling cohort of Queue 1
Loop through each cohort in Queue 1 \(Q_{1_v}\) (and Queue NC \(Q_{NC_v}\)) starting with the oldest (\(Q_{1_V}\)/\(Q_{NC_V}\)) and ending with the most recent \(Q_{1_1}\)/\(Q_{NC_1}\).
If L_1 is smaller than cohort (i.e. $ L_1(t) < (Q_{1_v}(t) + Q_{NC_v}(t))$ :
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{Q1}_v}(t) \sim hypergeom(Q_{1_v}(t), Q_{NC_v}(t), L_1(t)) \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{QNC}_v}(t) = L_1(t) - \text{total_samples_for_PCR_Testing}_{\text{Q1}_v}(t) \end{equation}\]
\[\begin{equation} Q_{1_m}(t) = Q_{1_v}(t) - \text{total_samples_for_PCR_Testing}_{\text{Q1}_v}(t) \end{equation}\]
\[\begin{equation} Q_{NC_m}(t) = Q_{NC_v}(t) - \text{total_samples_for_PCR_Testing}_{\text{QNC}_v}(t) \end{equation}\]
\[\begin{equation} L_1(t) = 0 \end{equation}\]
Else
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{Q1}_v}(t) = Q_{1_v}(t) \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{QNC}_v}(t) = Q_{NC_v}(t) \end{equation}\]
\[\begin{equation} Q_{1_v}(t) = 0 \end{equation}\]
\[\begin{equation} Q_{NC_v}(t) = 0 \end{equation}\]
\[\begin{equation} L_1(t) = L_1(t) - \text{total_samples_for_PCR_Testing}_{\text{Q1}_v}(t) - \text{total_samples_for_PCR_Testing}_{\text{QNC}_v}(t) \end{equation}\]
Simulate PCR Testing on each sampling cohort in Q1
Loop over all cohorts \(v\) from \(1:V\)
\[\begin{equation} Y_{Q1_{v}}(t) = \sim Binomial(\text{total_samples_for_PCR_Testing_lag_2}_{\text{Q1}_v}(t), \text{PCR_sens}) \end{equation}\]
\[\begin{equation} Y_{QNC_{v}}(t) = (\text{total_samples_for_PCR_Testing_lag_2}_{\text{QNC}_v}(t) \end{equation}\]
\[\begin{equation} \text{neg_samples_Q1}_{Q1}(t) = \text{neg_samples_Q1}_{Q1}(t) + \text{total_samples_for_PCR_Testing_lag_2}_{\text{Q1}_v}(t) - Y_{Q1_{v}}(t) \end{equation}\]
Update lags for total samples for PCR testing for Q1
\[\begin{equation} \text{total_samples_for_PCR_Testing_lag_2}_{\text{Q1}_v}(t) = \text{total_samples_for_PCR_Testing_lag_1}_{\text{Q1}_v}(t) \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_lag_2}_{\text{QNC}_v}(t) = \text{total_samples_for_PCR_Testing_lag_1}_{\text{QNC}_v}(t) \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_lag_1}_{\text{Q1}_v}(t) = \text{total_samples_for_PCR_Testing}_{\text{Q1}_v}(t) \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_lag_1}_{\text{QNC}_v}(t) = \text{total_samples_for_PCR_Testing}_{\text{QNC}_v}(t) \end{equation}\]
Update positive case matrix (\(P_{\text{Q1}}\))
For all daily sampling cohorts \(v\) within the last 14 days:
\[\begin{equation} P_{\text{Q1}_v}(t) = P_{\text{Q1}_v}(t) + Y_{Q1_{v}}(t) \end{equation}\]
Re-testing (Add lagged positive samples from Queue 1 into Queue 2)
The state variable \(\text{First_re_test}_{\text{Q1}}(t)\) are samples that were first re-sampled during the previous day. They now need to be re-sampled a second time.
\[\begin{equation} \text{Second_re_test}_{\text{Q1}}(t) = \text{First_re_test}_{\text{Q1}}(t) \end{equation}\]
\[\begin{equation} C_{Q2}(t) = \text{Second_re_test}_{\text{Q1}}(t) \end{equation}\]
Let \(V\) be the oldest cohort stored (\(V = 13\)). This cohort will have their first re-sampling conducted.
\[\begin{equation} \text{First_re_test}_{\text{Q1}}(t) = P_{\text{Q1}_V}(t) \end{equation}\]
\[\begin{equation} C_{Q2}(t) = C_{Q2}(t) + \text{First_re_test}_{\text{Q1}}(t) \end{equation}\]
Increment Q1 Sampling Cohorts
For \(v\) in \(2:V\):
\[\begin{equation} P_{\text{Q1}_{\text{old}_{v}}} = P_{\text{Q1}_v}(t) \end{equation}\]
\[\begin{equation} P_{\text{Q1}_v}(t) = P_{\text{Q1}_{\text{old}_{v-1}}} \end{equation}\]
For the case when \(v=1\):
\[\begin{equation} P_{\text{Q1}_1}(t) = 0 \end{equation}\]
For integer \(v\) in \(1:V\):
\[\begin{equation} Q_{1_{\text{old}_v}} = Q_{1_v}(t) \end{equation}\]
\[\begin{equation} Q_{NC_{\text{old}_v}} = Q_{NC_v}(t) \end{equation}\]
For the case where \(v = V\)
\[\begin{equation} \text{Backlog_Queue_1}(t) = \text{Backlog_Queue_1}(t) + Q_{1_{\text{old}_V}} \end{equation}\]
\[\begin{equation} \text{Backlog_Queue_NC}(t) = \text{Backlog_Queue_NC}(t) + Q_{NC_{\text{old}_V}} \end{equation}\]
For integer \(v\) in \(v >1\) and \(v <= V\):
\[\begin{equation} Q_{1_v}(t) = Q_{1_{\text{old}_{v-1}}} \end{equation}\]
\[\begin{equation} Q_{NC_v}(t) = Q_{NC_{\text{old}_{v-1}}} \end{equation}\]
For the case when \(v=1\):
\[\begin{equation} Q_{1_1}(t) = 0 \end{equation}\]
\[\begin{equation} Q_{NC_1}(t) = 0 \end{equation}\]
Queue 2
Add new cases to queue
\[\begin{equation} Q_{2}(t) = Q_{2}(t) + C_{Q2}(t) \end{equation}\]
Determine number of samples that will be tested from Queue 2
Recall that \(L_2\) is the testing capacity available at the end of Queue 2.
\[\begin{equation} L_2(t) = L_1(t) \end{equation}\]
If \(Q_{2}(t) > L_2(t)\):
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{Q2}}(t) = L_2(t) \end{equation}\]
\[\begin{equation} Q_{2}(t) = Q_{2}(t) - L_2(t) \end{equation}\]
\[\begin{equation} L_2(t) = 0 \end{equation}\]
Else:
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{Q2}}(t) = Q_{2}(t) \end{equation}\]
\[\begin{equation} Q_{2}(t) = 0 \end{equation}\]
\[\begin{equation} L_2(t) = L_2(t) - Q_{2}(t) \end{equation}\]
Recall that we do not keep track of the results of the PCR testing in Queue 2, as it will not impact the count of reported cases. We are also not worried about lags here.
Queue 3
Initial states
\[\begin{equation} \text{neg_samples}_{Q3}(t) = 0 \end{equation}\]
\[\begin{equation} L_3(t) = L_2(t) \end{equation}\]
Take into account loss rate due to recovery
Here in Queue 3 (unlike in Queue 1) we do take into account the probability that an individual has already recovered before their samples can be tested. Biologically, of course, we assume that individuals are only sampled once testing capacity permits. We ignore the lag between sampling time and testing capacity in determining that threshold point.
For eaach cohort \(k\):
\[\begin{equation} \text{Q_3_loss}_k = \sim \text{Binomial}(Q_{3_k}(t), 1 - e^{-\mu_3*dt}) \end{equation}\]
\[\begin{equation} Q_{3_k}(t) = Q_{3_k}(t) - \text{Q_3_loss}_k \end{equation}\]
Add new cases to Q3
\[\begin{equation} Q_{3_1}(t) = Q_{3_1}(t) + C_{Q3}(t) \end{equation}\]
Determine number of samples that will be tested from the backlog of Queue 3
First, deal with backlog
If Backlog is greater than testing capacity:
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog}_{text{Q3}} = L_3(t) \end{equation}\]
\[\begin{equation} \text{Backlog_Queue_3}(t) = \text{Backlog_Queue_3}(t) - L_3(t) \end{equation}\]
\[\begin{equation} L_3(t) = 0 \end{equation}\]
Else (if the testing capcity is greater than the backlog):
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog}_{text{Q3}} = \text{Backlog_Queue_3}(t) \end{equation}\]
\[\begin{equation} L_3(t) = L_3(t) - \text{total_samples_for_PCR_Testing_backlog}_{text{Q5}} \end{equation}\]
\[\begin{equation} \text{Backlog_Queue_3}(t) = 0 \end{equation}\]
Simulate PCR for backlogged cases in Q3
\[\begin{equation} Y_{Q3_{\text{backlog}}}(t) = \sim Binomial(\text{total_samples_for_PCR_Testing_backlog_lag_2}_{text{Q3}}, \text{PCR_sens}) \end{equation}\]
\[\begin{equation} \text{neg_samples}_{Q3}(t) = \text{neg_samples}_{Q3}(t) + \text{total_samples_for_PCR_Testing_backlog_lag_2}_{text{Q3}} - Y_{Q3}(t) \end{equation}\]
Update PCR testing compartments for Q3 backlog
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog_lag_2}_{text{Q3}} = \text{total_samples_for_PCR_Testing_backlog_lag_1}_{text{Q3}} \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_backlog_lag_1}_{text{Q3}} = \text{total_samples_for_PCR_Testing_backlog}_{text{Q3}} \end{equation}\]
Determine number of samples that will be tested from each sampling cohort of Queue 3
Loop through each cohort in Queue 3 \(Q_{3_k}\) starting with the oldest (\(Q_{3_K}\)) and ending with the most recent \(Q_{3_1}\).
If L_3 is smaller than cohort (i.e. $ L_3(t) < Q_{3_k}(t)$ :
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{Q3}_k}(t) = L_3(t) \end{equation}\]
\[\begin{equation} Q_{3_k}(t) = Q_{3_k}(t) - L_3(t) \end{equation}\]
\[\begin{equation} L_3(t) = 0 \end{equation}\]
Else
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{Q3}_k}(t) = Q_{3_k}(t) \end{equation}\]
\[\begin{equation} Q_{3_k}(t) = 0 \end{equation}\]
\[\begin{equation} L_3(t) = L_3(t) - \text{total_samples_for_PCR_Testing}_{\text{Q3}_k}(t) \end{equation}\]
Simulate PCR Testing on each sampling cohort in Q3
Loop over all cohorts \(k\) from \(1:K\)
\[\begin{equation} Y_{Q3_{k}}(t) = \sim Binomial(\text{total_samples_for_PCR_Testing_lag_2}_{\text{Q3}_k}(t), \text{PCR_sens}) \end{equation}\]
\[\begin{equation} \text{neg_samples}_{Q3}(t) = \text{neg_samples}_{Q3}(t) + \text{total_samples_for_PCR_Testing_lag_2}_{\text{Q3}_k}(t) - Y_{Q3_{k}}(t) \end{equation}\]
Update lags for total samples for PCR testing for Q3
\[\begin{equation} \text{total_samples_for_PCR_Testing_lag_2}_{\text{Q3}_k}(t) = \text{total_samples_for_PCR_Testing_lag_1}_{\text{Q3}_k}(t) \end{equation}\]
\[\begin{equation} \text{total_samples_for_PCR_Testing_lag_1}_{\text{Q3}_k}(t) = \text{total_samples_for_PCR_Testing}_{\text{Q3}_k}(t) \end{equation}\]
Update positive case matrix (\(P_{\text{Q3}}\))
For all daily sampling cohorts \(k\) within the last 14 days:
\[\begin{equation} P_{\text{Q3}_k}(t) = P_{\text{Q3}_k}(t) + Y_{Q3_{k}}(t) \end{equation}\]
Re-testing (Add lagged positive samples from Queue 3 into Queue 4)
The state variable \(\text{First_re_test}_{\text{Q3}}(t)\) are samples that we first re-sampled during the previous day. They now need to be re-sampled a second time.
\[\begin{equation} \text{Second_re_test}_{\text{Q3}}(t) = \text{First_re_test}_{\text{Q3}}(t) \end{equation}\]
\[\begin{equation} C_{Q4}(t) = \text{Second_re_test}_{\text{Q3}}(t) \end{equation}\]
Let \(K\) be the oldest cohort stored (\(K = 14\)). This cohort will have their first re-sampling conducted.
\[\begin{equation} \text{First_re_test}_{\text{Q3}}(t) = P_{\text{Q3}_K}(t) \end{equation}\]
\[\begin{equation} C_{Q4}(t) = C_{Q4}(t) + \text{First_re_test}_{\text{Q3}}(t) \end{equation}\]
Increment Q3 Sampling Cohorts
For \(k\) in \(2:K\):
\[\begin{equation} P_{\text{Q3}_{\text{old}_{k}}} = P_{\text{Q3}_k}(t) \end{equation}\]
\[\begin{equation} P_{\text{Q3}_k}(t) = P_{\text{Q3}_{\text{old}_{k-1}}} \end{equation}\]
For the case when \(k=1\):
\[\begin{equation} P_{\text{Q3}_1}(t) = 0 \end{equation}\]
For integer \(k\) in \(1:K\):
\[\begin{equation} Q_{3_{\text{old}_k}} = Q_{3_k}(t) \end{equation}\]
For the case where \(k = K\)
\[\begin{equation} \text{Backlog_Queue_3}(t) = \text{Backlog_Queue_3}(t) + Q_{3_{\text{old}_K}} \end{equation}\]
For integer \(k\) in \(k >1\) and \(k <= K\):
\[\begin{equation} Q_{3_k}(t) = Q_{3_{\text{old}_{k-1}}} \end{equation}\]
For the case when \(k=1\):
\[\begin{equation} Q_{3_1}(t) = 0 \end{equation}\]
Queue 4
Add new cases to queue
\[\begin{equation} Q_{4}(t) = Q_{4}(t) + C_{Q4}(t) \end{equation}\]
Determine number of samples that will be tested from Queue 4
Recall that \(L_4\) is the testing capacity available at the end of Queue 4.
\[\begin{equation} L_4(t) = L_3(t) \end{equation}\]
If \(Q_{4}(t) > L_4(t)\):
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{Q4}}(t) = L_4(t) \end{equation}\]
\[\begin{equation} Q_{4}(t) = Q_{4}(t) - L_4(t) \end{equation}\]
\[\begin{equation} L_4(t) = 0 \end{equation}\]
Else:
\[\begin{equation} \text{total_samples_for_PCR_Testing}_{\text{Q4}}(t) = Q_{4}(t) \end{equation}\]
\[\begin{equation} Q_{4}(t) = 0 \end{equation}\]
\[\begin{equation} L_4(t) = L_4(t) - \text{total_samples_for_PCR_Testing}_{\text{Q4}}(t) \end{equation}\]
Recall that we do not keep track of the results of the PCR testing in Queue 4, as it will not impact the count of reported cases. We are also not worried about lags here, and we assume that all samples that enter Queue 4 are eventually tested (no addition loss rates).
Total neg tests (all queues)
\[\begin{equation} \text{total_neg_samples_all_queues}(t) = \text{total_samples_for_PCR_Testing}_{\text{Q4}}(t) + \text{total_samples_for_PCR_Testing}_{\text{Q2}}(t) + \text{neg_samples_Q1}_{Q1}(t) + \text{neg_samples_Q3}_{Q3}(t) + Y_{QNC_{\text{backlog}}}(t) + \sum_{v=1}^V Y_{QNC_{v}}(t) \end{equation}\]
Build Model
POMP Csnippet
Process model
#Process model Csnippet with queue incorporated
rproc <- Csnippet("
//Declare Arrays
double rate_I_P[2], trans_I_P[2]; //Declare arrays for eulermultinom transitions from Exposed Compartment
double rate_I_S_1[2], trans_I_S_1[2]; //Declare arrays for eulermultinom transitions from symptomatic infection Compartment
double multinom_output[8], multinom_prob[8]; //Declare arrays for multinom in Q5
int M = (int) M_0; //Number of exposed compartments
int V = (int) V_0; //Number of days spent in hospital (number of cohorts in Queues 1 and NC)
int K = (int) K_0; //Number of days spent in quarantine (number of cohorts in Queue 3)
int m; //Exposed compartment number
int v; //Queue 1/ Queue NC cohort number
int k; //Queue 3 cohort number
double dE_m_E_m_1[M-1]; //Declare array for binomial transitions between Exposed Compartments
double P_Q1_old[V]; //Declare array to store old value of P_Q1 during capacity calculations.
double P_Q3_old[K]; //Declare array to store old value of P_Q3 during capacity calculations.
double QNC_old[V]; //Declare array to store old value of QNC during capacity calculations.
double Q1_old[V]; //Declare array to store old value of Q1 during capacity calculations.
double Q3_old[K]; //Declare array to store old value of Q3 during capacity calculations.
//Declare E pointer array
double *e=&E_1;
//Declare Queue 1 pointer arrays
double *q_1=&Q_1_1;
double *p_q1=&P_Q1_1;
double *total_samples_for_PCR_Testing_q1=&total_samples_for_PCR_Testing_Q1_1;
double *total_samples_for_PCR_Testing_lag_1_q1=&total_samples_for_PCR_Testing_lag_1_Q1_1;
double *total_samples_for_PCR_Testing_lag_2_q1=&total_samples_for_PCR_Testing_lag_2_Q1_1;
double *y_q1=&Y_Q1_1;
//Declare Queue NC pointer arrays
double *q_nc=&Q_NC_1;
double *total_samples_for_PCR_Testing_qnc=&total_samples_for_PCR_Testing_QNC_1;
double *total_samples_for_PCR_Testing_lag_1_qnc=&total_samples_for_PCR_Testing_lag_1_QNC_1;
double *total_samples_for_PCR_Testing_lag_2_qnc=&total_samples_for_PCR_Testing_lag_2_QNC_1;
double *y_qnc=&Y_QNC_1;
//Declare Queue 3 pointer arrays
double *q_3=&Q_3_1;
double *p_q3=&P_Q3_1;
double *total_samples_for_PCR_Testing_q3=&total_samples_for_PCR_Testing_Q3_1;
double *total_samples_for_PCR_Testing_lag_1_q3=&total_samples_for_PCR_Testing_lag_1_Q3_1;
double *total_samples_for_PCR_Testing_lag_2_q3=&total_samples_for_PCR_Testing_lag_2_Q3_1;
double *y_q3=&Y_Q3_1;
//Error checks- Top of model
if(R_A < 0 || R_F < 0 || R_H < 0 || I_A < 0 || I_P < 0 || I_H < 0 || I_S_1 < 0 || I_S_2 < 0 || S < 0 || N < 0 || Backlog_Queue_1 < 0 || Q_2 < 0 ||Backlog_Queue_3 < 0 || Q_4 < 0 |Backlog_Queue_NC < 0|| First_re_test_Q1 < 0 || Second_re_test_Q1 < 0 || First_re_test_Q3 < 0 || Second_re_test_Q3 < 0 || total_samples_for_PCR_Testing_backlog_Q1 < 0 || total_samples_for_PCR_Testing_backlog_lag_1_Q1 < 0 || total_samples_for_PCR_Testing_backlog_lag_2_Q1 < 0 || total_samples_for_PCR_Testing_backlog_Q3 < 0 || total_samples_for_PCR_Testing_backlog_lag_1_Q3 < 0 || total_samples_for_PCR_Testing_backlog_lag_2_Q3 < 0 ||total_samples_for_PCR_Testing_backlog_QNC < 0 || total_samples_for_PCR_Testing_backlog_lag_1_QNC < 0 || total_samples_for_PCR_Testing_backlog_lag_2_QNC < 0 || neg_samples_Q1 < 0 || neg_samples_Q3 < 0 || total_neg_samples_all_queues < 0 || L_advanced_2_days < 0 || G_w_y < 0 || L_int < 0 || F_w_y < 0 || L_1 < 0 || w < 0 || L_2 < 0 || L_3 < 0 || L_4 < 0 || y < 0){
Neg_State_Value_Detected = TRUE;
Rprintf(\"Negative state variable detected at top of process model t = %lg \\n\", t);
}
double sum_everything = R_A + R_F + R_H + I_P + I_A + I_H + I_S_1 + I_S_2 + S + N;
sum_everything = sum_everything + Backlog_Queue_1 + Backlog_Queue_3 + Backlog_Queue_NC + Q_2 + Q_4;
sum_everything = sum_everything + First_re_test_Q1 + First_re_test_Q3 +Second_re_test_Q1 + Second_re_test_Q3;
sum_everything = sum_everything + total_samples_for_PCR_Testing_backlog_Q1 + total_samples_for_PCR_Testing_backlog_Q3 + total_samples_for_PCR_Testing_backlog_QNC;
sum_everything = sum_everything + total_samples_for_PCR_Testing_backlog_lag_1_Q1 + total_samples_for_PCR_Testing_backlog_lag_1_Q3 + total_samples_for_PCR_Testing_backlog_lag_1_QNC;
sum_everything = sum_everything + total_samples_for_PCR_Testing_backlog_lag_2_Q1 + total_samples_for_PCR_Testing_backlog_lag_2_Q3 + total_samples_for_PCR_Testing_backlog_lag_2_QNC;
sum_everything = sum_everything + neg_samples_Q1 + neg_samples_Q3 + total_neg_samples_all_queues;
sum_everything = sum_everything + L_advanced_2_days + G_w_y + F_w_y + L_int + L_1 + L_2 + L_3 + L_4 + w + y;
if(isnan(sum_everything)){
NAN_State_Value_Detected = TRUE;
Rprintf(\"nan state variable detected at top of process model t = %lg \\n\", t);
}
//Check Exposed Compartments
for(m=0; m<M; m++) {
if(isnan(e[m])){
NAN_State_Value_Detected = TRUE;
Rprintf(\"nan state variable detected at top of process model t = %lg \\n\", t);
}
if(e[m] < 0) {
Neg_State_Value_Detected = TRUE;
Rprintf(\"Negative state variable detected at top of process model t = %lg \\n\", t);
}
}
//Check Q_1 and Q_NC arrays
for(v=0; v<V; v++) {
if(isnan(q_1[v]) || isnan(q_nc[v]) || isnan(p_q1[v]) || isnan(total_samples_for_PCR_Testing_q1[v]) || isnan(total_samples_for_PCR_Testing_qnc[v]) || isnan(total_samples_for_PCR_Testing_lag_1_q1[v]) || isnan(total_samples_for_PCR_Testing_lag_1_qnc[v]) || isnan(total_samples_for_PCR_Testing_lag_2_q1[v]) || isnan(total_samples_for_PCR_Testing_lag_2_qnc[v])){
NAN_State_Value_Detected = TRUE;
Rprintf(\"nan state variable detected at top of process model t = %lg \\n\", t);
}
if(q_1[v] < 0 || q_nc[v] < 0 || p_q1[v] < 0 || total_samples_for_PCR_Testing_q1[v] < 0 || total_samples_for_PCR_Testing_qnc[v] < 0 || total_samples_for_PCR_Testing_lag_1_q1[v] < 0 || total_samples_for_PCR_Testing_lag_1_qnc[v] < 0 || total_samples_for_PCR_Testing_lag_2_q1[v] < 0 || total_samples_for_PCR_Testing_lag_2_qnc[v] < 0 ) {
Neg_State_Value_Detected = TRUE;
Rprintf(\"Negative state variable detected at top of process model t = %lg \\n\", t);
}
}
//Check Q_3 Arrays
for(k=0; k<K; k++) {
if(isnan(q_3[k]) || isnan(p_q3[k]) || isnan(total_samples_for_PCR_Testing_q3[k]) || isnan(total_samples_for_PCR_Testing_lag_1_q3[k]) || isnan(total_samples_for_PCR_Testing_lag_2_q3[k]) || isnan(q_3[k])){
NAN_State_Value_Detected = TRUE;
Rprintf(\"nan state variable detected at top of process model t = %lg \\n\", t);
}
if(q_3[k] < 0 || p_q3[k] < 0 || total_samples_for_PCR_Testing_q3[k] < 0 || total_samples_for_PCR_Testing_lag_1_q3[k] < 0 || total_samples_for_PCR_Testing_lag_2_q3[k] < 0 ) {
Neg_State_Value_Detected = TRUE;
Rprintf(\"Negative state variable detected at top of process model t = %lg \\n\", t);
}
}
int print_out_top = (Error_Printing_Complete == FALSE) & (Neg_State_Value_Detected == TRUE || NAN_State_Value_Detected == TRUE);
if(print_out_top){
Rprintf(\"I_S_1 = %lg \\n\", I_S_1);
Rprintf(\"I_S_2 = %lg \\n\", I_S_2);
Rprintf(\"I_H = %lg \\n\", I_H);
Rprintf(\"I_P = %lg \\n\", I_P);
Rprintf(\"I_A = %lg \\n\", I_A);
Rprintf(\"Backlog_Queue_1 = %lg \\n\", Backlog_Queue_1);
Rprintf(\"Backlog_Queue_3 = %lg \\n\", Backlog_Queue_3);
Rprintf(\"Backlog_Queue_NC = %lg \\n\", Backlog_Queue_NC);
Rprintf(\"First_re_test_Q1 = %lg \\n\", First_re_test_Q1);
Rprintf(\"First_re_test_Q3 = %lg \\n\", First_re_test_Q3);
Rprintf(\"Second_re_test_Q1 = %lg \\n\", Second_re_test_Q1);
Rprintf(\"Second_re_test_Q3 = %lg \\n\", Second_re_test_Q3);
Rprintf(\"total_samples_for_PCR_Testing_backlog_Q1 = %lg \\n\", total_samples_for_PCR_Testing_backlog_Q1);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_1_Q1 = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_1_Q1);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_2_Q1 = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_2_Q1);
Rprintf(\"total_samples_for_PCR_Testing_backlog_Q3 = %lg \\n\", total_samples_for_PCR_Testing_backlog_Q3);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_1_Q3 = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_1_Q3);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_2_Q3 = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_2_Q3);
Rprintf(\"total_samples_for_PCR_Testing_backlog_QNC = %lg \\n\", total_samples_for_PCR_Testing_backlog_QNC);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_1_QNC = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_1_QNC);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_2_QNC = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_2_QNC);
Rprintf(\"neg_samples_Q1 = %lg \\n\", neg_samples_Q1);
Rprintf(\"neg_samples_Q3 = %lg \\n\", neg_samples_Q3);
Rprintf(\"total_neg_samples_all_queues = %lg \\n\", total_neg_samples_all_queues);
Rprintf(\"Q_2 = %lg \\n\", Q_2);
Rprintf(\"Q_4 = %lg \\n\", Q_4);
Rprintf(\"F_w_y = %lg \\n\", F_w_y);
Rprintf(\"w = %lg \\n\", w);
Rprintf(\"y = %lg \\n\", y);
Rprintf(\"E_1 = %lg \\n\", E_1);
Rprintf(\"E_2 = %lg \\n\", E_2);
Rprintf(\"E_3 = %lg \\n\", E_3);
Rprintf(\"E_4 = %lg \\n\", E_4);
Rprintf(\"E_5 = %lg \\n\", E_5);
Rprintf(\"R_H = %lg \\n\", R_H);
Rprintf(\"R_A = %lg \\n\", R_A);
Rprintf(\"R_F = %lg \\n\", R_F);
Rprintf(\"N = %lg \\n\", N);
Rprintf(\"S = %lg \\n\", S);
Rprintf(\"L_advanced_2_days = %lg \\n\", L_advanced_2_days);
Rprintf(\"G_w_y = %lg \\n\", G_w_y);
Rprintf(\"L_int = %lg \\n\", L_int);
Rprintf(\"L_1 = %lg \\n\", L_1);
Rprintf(\"L_2 = %lg \\n\", L_2);
Rprintf(\"L_3 = %lg \\n\", L_3);
Rprintf(\"L_4 = %lg \\n\", L_4);
Rprintf(\"Print out params p_S = %lg \\n\", p_S);
Rprintf(\"p_H_cond_S = %lg \\n\", p_H_cond_S);
Rprintf(\"phi_E = %lg \\n\", phi_E);
Rprintf(\"phi_U = %lg \\n\", phi_U);
Rprintf(\"phi_S = %lg \\n\", phi_S);
Rprintf(\"h_V = %lg \\n\", h_V);
Rprintf(\"gamma = %lg \\n\", gamma);
Rprintf(\"R_0 = %lg \\n\", R_0);
Rprintf(\"b_q = %lg \\n\", b_q);
Rprintf(\"b_a = %lg \\n\", b_a);
Rprintf(\"b_p = %lg \\n\", b_p);
Rprintf(\"z_0 = %lg \\n\", z_0);
Rprintf(\"E_0 = %lg \\n\", E_0);
Rprintf(\"N_0 = %lg \\n\", N_0);
Rprintf(\"C_0 = %lg \\n\", C_0);
Rprintf(\"G_w_y_scaling = %lg \\n\", G_w_y_scaling);
Rprintf(\"quarantine_start_time = %lg \\n\", quarantine_start_time);
Rprintf(\"PCR_sens = %lg \\n\", PCR_sens);
Rprintf(\"sigma_M = %lg \\n\", sigma_M);
Rprintf(\"beta_w_3 = %lg \\n\", beta_w_3);
Rprintf(\"beta_w_2 = %lg \\n\", beta_w_2);
Rprintf(\"beta_w_1 = %lg \\n\", beta_w_1);
Rprintf(\"beta_w_0 = %lg \\n\", beta_w_0);
Rprintf(\"g_0 = %lg \\n\", g_0);
Rprintf(\"g_F = %lg \\n\", g_F);
Rprintf(\"sigma_epsilon = %lg \\n\", sigma_epsilon);
//Print out exposed compartments
for(m=0; m<M; m++) {
Rprintf(\"m = %d \\n\", m);
Rprintf(\"e[m] = %lg \\n\", e[m]);
}
//Print out Q_1 and Q_NC compartments
for(v=0; v<V; v++) {
Rprintf(\"v = %d \\n\", v);
Rprintf(\"q_1[v] = %lg \\n\", q_1[v]);
Rprintf(\"q_nc[v] = %lg \\n\", q_nc[v]);
Rprintf(\"p_q1[v] = %lg \\n\", p_q1[v]);
Rprintf(\"total_samples_for_PCR_Testing_q1[v] = %lg \\n\", total_samples_for_PCR_Testing_q1[v]);
Rprintf(\"total_samples_for_PCR_Testing_qnc[v] = %lg \\n\", total_samples_for_PCR_Testing_qnc[v]);
Rprintf(\"total_samples_for_PCR_Testing_lag_1_q1[v] = %lg \\n\", total_samples_for_PCR_Testing_lag_1_q1[v]);
Rprintf(\"total_samples_for_PCR_Testing_lag_1_qnc[v] = %lg \\n\", total_samples_for_PCR_Testing_lag_1_qnc[v]);
Rprintf(\"total_samples_for_PCR_Testing_lag_2_q1[v] = %lg \\n\", total_samples_for_PCR_Testing_lag_2_q1[v]);
Rprintf(\"total_samples_for_PCR_Testing_lag_2_qnc[v] = %lg \\n\", total_samples_for_PCR_Testing_lag_2_qnc[v]);
}
//Print out Q_3 compartments
for(k=0; k<K; k++) {
Rprintf(\"k = %d \\n\", k);
Rprintf(\"q_3[k] = %lg \\n\", q_3[k]);
Rprintf(\"p_q3[k] = %lg \\n\", p_q3[k]);
Rprintf(\"total_samples_for_PCR_Testing_q3[k] = %lg \\n\", total_samples_for_PCR_Testing_q3[k]);
Rprintf(\"total_samples_for_PCR_Testing_lag_1_q3[k] = %lg \\n\", total_samples_for_PCR_Testing_lag_1_q3[k]);
Rprintf(\"total_samples_for_PCR_Testing_lag_2_q3[k] = %lg \\n\", total_samples_for_PCR_Testing_lag_2_q3[k]);
}
Error_Printing_Complete = TRUE;
}
//Main Process Model Code Block
//Initialize transition array (make it NAN so it will trigger warnings if
//used when unchanged)
for(m=0; m<M-1; m++) {
dE_m_E_m_1[m] = NAN;
}
double total_time_infected = (1/gamma) + (1/phi_S);
double gamma_total = 1/total_time_infected;
double Beta_0 = R_0*(gamma_total);
double Beta_1 = b_q*Beta_0;
beta_t = Beta_0;
if(t > quarantine_start_time){
beta_t = Beta_1;
}else{
if(t > social_distancing_start_time){
double m_q = (Beta_1 - Beta_0)/(quarantine_start_time - social_distancing_start_time);
beta_t = Beta_0 + m_q*(t-social_distancing_start_time);
}
}
//Calculate transmssion rates in pre-symptomatic classes
double beta_p = b_p*beta_t;
//Calculate transmssion rates in asymptomatic classes
double beta_a = b_a*beta_t;
//Rates for Euler Multinom leaving Infected Pre-symptomatic class
double mu_I_P_I_A = (1-p_S)*phi_U; //Moving from I_P to I_A
double mu_I_P_I_S_1 = p_S*phi_U; //Moving from I_P to I_S_1
rate_I_P[0] = mu_I_P_I_A;
rate_I_P[1] = mu_I_P_I_S_1;
//Rates for Euler Multinom leaving Infected Symptomatic class
double mu_I_S_1_I_H = p_H_cond_S*phi_S; //Moving from I_S_1 to I_H
double mu_I_S_1_I_S_2 = (1-p_H_cond_S)*phi_S; //Moving from I_S_1 to I_S_2
rate_I_S_1[0] = mu_I_S_1_I_H;
rate_I_S_1[1] = mu_I_S_1_I_S_2;
//Calculate force of infection
double lambda_FOI = (beta_t*(I_S_1 + I_S_2) + beta_a*(I_A) + beta_p*(I_P))/N;
double mu_S_E_1 = lambda_FOI;
//Calculate rate of moving bewteen exposed compartments
double mu_E_m_E_m_1 = phi_E;
//Calculate rate of moving from Infected Asymptomatic class to
// Recovered Asymptomatic class
double mu_I_A_R_A = phi_S;
//Calculate rate of moving from last Exposed compartment to
//Infected Pre-sympatomatic class
double mu_E_M_I_P = phi_E;
//Calculate rate of moving from Infected Flu-like class to Recovered Flu-Like Class
double mu_I_S_2_R_F = gamma;
//Calculate rate of moving from Infected Hospitalized class to Recovered Hospitalized Class
double mu_I_H_R_H = h_V;
//Binomial transitions (out of S, I_S_2, E_M, I_A, and I_H, and within E)
double dSE_1 = rbinom(S, 1 - exp(-mu_S_E_1*dt));
double dI_A_R_A = rbinom(I_A, 1 - exp(-mu_I_A_R_A*dt));
double dE_M_I_P = rbinom(e[M-1], 1 - exp(-mu_E_M_I_P*dt));
double dI_S_2_R_F = rbinom(I_S_2, 1 - exp(-mu_I_S_2_R_F*dt));
double dI_H_R_H = rbinom(I_H, 1 - exp(-mu_I_H_R_H*dt));
//Exposed class binomial transitions (start from second compartment)
for(m = 0; m < M-1; m++){
dE_m_E_m_1[m] = rbinom(e[m], 1 - exp(-mu_E_m_E_m_1*dt));
}
//Euler multinomial transitions
//Infected Pre-symptomatic compartment
reulermultinom(2,I_P, &rate_I_P[0], dt, &trans_I_P[0]);
//Infected Symptomatic comparment
reulermultinom(2,I_S_1, &rate_I_S_1[0], dt, &trans_I_S_1[0]);
//Get compartment transitions from Euler multinom output
//Infected Pre-symptomatic Compartment
double dI_P_I_A = trans_I_P[0];
double dI_P_I_S_1 = trans_I_P[1];
//Infected Symptomatic Compartment
double dI_S_1_I_H = trans_I_S_1[0];
double dI_S_1_I_S_2 = trans_I_S_1[1];
//Update state variables using transition increments
//Susceptible Compartment
S += -dSE_1;
//Exposed Compartments
//First compartment
e[0] += dSE_1 - dE_m_E_m_1[0];
//Inner compartments (start from second compartment,
// end with second to last comparment)
for(m = 1; m < M-1; m++){
e[m] += dE_m_E_m_1[m-1] - dE_m_E_m_1[m];
}
//Outermost exposed compartment
e[M-1] += dE_m_E_m_1[M-2] - dE_M_I_P;
//Infected Compartments
//Pre-Symptomatic Infected Compartment
I_P += dE_M_I_P- dI_P_I_A - dI_P_I_S_1;
I_S_1 += dI_P_I_S_1 - dI_S_1_I_H - dI_S_1_I_S_2;
//Hospitalized Compartment
I_H += dI_S_1_I_H - dI_H_R_H;
//Flu-Like Infections Compartment
I_S_2 += dI_S_1_I_S_2 - dI_S_2_R_F;
//Recovered Compartments
I_A += dI_P_I_A - dI_A_R_A;
R_A += dI_A_R_A;
R_F += dI_S_2_R_F;
R_H += dI_H_R_H;
//Total Population (does not change)
N += 0;
//Reported Cases
C_Q1 += dI_S_1_I_H; //Entering Queue 1
C_Q3 += dI_S_1_I_S_2; //Entering Queue 2
//Read in testing info
L_int = nearbyint(L_advanced_2_days);
double epsilon = rnorm(0,sigma_epsilon);
//Calculate estimated non-COVID respiratory infections
G_w_y = g_0 + g_F*F_w_y + beta_w_3*(w*w*w) + beta_w_2*(w*w) + beta_w_1*w + beta_w_0 + epsilon;
if(t > quarantine_start_time){
G_w_y = G_w_y_scaling*G_w_y;
}else{
G_w_y = G_w_y_scaling*G_w_y;
}
C_QNC = nearbyint(G_w_y);
//Queue 1
//Initial states
neg_samples_Q1 = 0;
//Add new cases to Q1
q_1[0] = q_1[0] + C_Q1;
//Add new cases to QNC
q_nc[0] = q_nc[0] + C_QNC;
//Determine number of samples that will tested from the backlog
// of Queue 1
double total_samples_for_PCR_Testing_backlog_always_test = Backlog_Queue_1 + Backlog_Queue_NC;
//If backlog is greater than testing capacity
if(total_samples_for_PCR_Testing_backlog_always_test > L_int){
total_samples_for_PCR_Testing_backlog_Q1 = rhyper(Backlog_Queue_1, Backlog_Queue_NC, L_int);
total_samples_for_PCR_Testing_backlog_QNC = L_int - total_samples_for_PCR_Testing_backlog_Q1;
Backlog_Queue_1 = Backlog_Queue_1 - total_samples_for_PCR_Testing_backlog_Q1;
Backlog_Queue_NC = Backlog_Queue_NC - total_samples_for_PCR_Testing_backlog_QNC;
L_1 = 0;
//Else (if the testing capacity is greater than the backlog)
}else{
total_samples_for_PCR_Testing_backlog_Q1 = Backlog_Queue_1;
total_samples_for_PCR_Testing_backlog_QNC = Backlog_Queue_NC;
L_1 = L_int - total_samples_for_PCR_Testing_backlog_Q1 - total_samples_for_PCR_Testing_backlog_QNC;
Backlog_Queue_1 = 0;
Backlog_Queue_NC = 0;
}
//Simulate PCR for backlogged cases in Q1
Y_Q1_backlog = rbinom(total_samples_for_PCR_Testing_backlog_lag_2_Q1, PCR_sens);
Y_QNC_backlog = total_samples_for_PCR_Testing_backlog_lag_2_QNC;
neg_samples_Q1 = neg_samples_Q1 + total_samples_for_PCR_Testing_backlog_lag_2_Q1 - Y_Q1_backlog;
//Update PCR testing compartments for Q1 backlog
total_samples_for_PCR_Testing_backlog_lag_2_Q1 = total_samples_for_PCR_Testing_backlog_lag_1_Q1;
total_samples_for_PCR_Testing_backlog_lag_2_QNC = total_samples_for_PCR_Testing_backlog_lag_1_QNC;
total_samples_for_PCR_Testing_backlog_lag_1_Q1 = total_samples_for_PCR_Testing_backlog_Q1;
total_samples_for_PCR_Testing_backlog_lag_1_QNC = total_samples_for_PCR_Testing_backlog_QNC;
//Determine number of samples that will be tested from each sampling cohort of Queue 1
//Loop through each cohort in Queue 1 q_1[v] (and Queue NC q_nc[v])
// starting with the oldest (q_1[V-1]/q_nc[V-1])
// and ending with the most recent q_1[0]/q_nc[1].
for(v=V-1; v>=0; v--) {
//If L_1 is smaller than cohort
if(L_1 < (q_1[v] + q_nc[v])){
total_samples_for_PCR_Testing_q1[v] = rhyper(q_1[v], q_nc[v], L_1);
total_samples_for_PCR_Testing_qnc[v] = L_1 - total_samples_for_PCR_Testing_q1[v];
q_1[v] = q_1[v] - total_samples_for_PCR_Testing_q1[v];
q_nc[v] = q_nc[v] - total_samples_for_PCR_Testing_qnc[v];
L_1 = 0;
//Else there is enough capacity to test cohort v
// in Q1/QNC
}else{
total_samples_for_PCR_Testing_q1[v] = q_1[v];
total_samples_for_PCR_Testing_qnc[v] = q_nc[v];
q_1[v] = 0;
q_nc[v] = 0;
L_1 = L_1 - total_samples_for_PCR_Testing_q1[v] - total_samples_for_PCR_Testing_qnc[v];
}
}
//Simulate PCR Testing on each sampling cohort in Q1
//Loop over all cohorts v from 1:V
for(v=0; v<V; v++) {
y_q1[v] = rbinom(total_samples_for_PCR_Testing_lag_2_q1[v], PCR_sens);
y_qnc[v] = total_samples_for_PCR_Testing_lag_2_qnc[v];
neg_samples_Q1 = neg_samples_Q1 + total_samples_for_PCR_Testing_lag_2_q1[v] - y_q1[v];
}
//Update lags for total samples for PCR testing for Q1
//Loop over all cohorts v from 1:V
for(v=0; v<V; v++) {
total_samples_for_PCR_Testing_lag_2_q1[v] = total_samples_for_PCR_Testing_lag_1_q1[v];
total_samples_for_PCR_Testing_lag_2_qnc[v] = total_samples_for_PCR_Testing_lag_1_qnc[v];
total_samples_for_PCR_Testing_lag_1_q1[v] = total_samples_for_PCR_Testing_q1[v];
total_samples_for_PCR_Testing_lag_1_qnc[v] = total_samples_for_PCR_Testing_qnc[v];
}
//Update positive case matrix (p_Q1)
//For all daily sampling cohorts v within the last 14 days:
for(v=0; v<V; v++) {
p_q1[v] = p_q1[v] + y_q1[v];
}
//Re-testing (Add lagged positive samples from Queue 1 into Queue 2)
//The state variable First_re_test_Q1 are samples that were
// first re-sampled during the previous day.
// They now need to be re-sampled a second time.
Second_re_test_Q1 = First_re_test_Q1;
C_Q2 = Second_re_test_Q1;
//Let V-1 be the oldest cohort stored (V=13).
// This cohort will have their first re-sampling conducted.
First_re_test_Q1 = p_q1[V-1];
C_Q2 = C_Q2 + First_re_test_Q1;
//Increment P_Q1 Sampling Cohorts
P_Q1_old[0] = p_q1[0]; //Store first cohort
//For v in 2:V: (or in C notation v in 1:V-1):
for(v=1; v<V; v++) {
P_Q1_old[v] = p_q1[v];
p_q1[v] = P_Q1_old[v-1];
}
//For the newest cohort where v = 1 (or 0 in C notation):
p_q1[0] = 0; //(Making space for next cohort arrival)
//Note that the oldest cohort (p_q1_old[V-1]) is never used
//since p_q1[V-1] has already been transferred to First_re_test_Q1
//Create placeholder arrays to store
// current queues
for(v=0; v<V; v++) {
Q1_old[v] = q_1[v];
QNC_old[v] = q_nc[v];
}
//Add oldest cohort to backlog
// v=V (or V-1 in C notation)
Backlog_Queue_1 = Backlog_Queue_1 + Q1_old[V-1];
Backlog_Queue_NC = Backlog_Queue_NC + QNC_old[V-1];
//Update Q1 Sampling cohorts by 1
//For integer v in v>1 and v<=V
// (or in C notation v = 1 to v <V):
for(v=1; v<V; v++) {
q_1[v] = Q1_old[v-1];
q_nc[v] = QNC_old[v-1];
}
//Make space for newest cohort when v=1
// (in C notation v = 0) :
q_1[0] = 0;
q_nc[0] = 0;
//Queue 2
//Add new cases to queue
Q_2 = Q_2+C_Q2;
//Determine number of samples that will be tested from Queue 2
//Recall that L2 is the testing capacity available at the end of Queue 2.
L_2 = L_1;
//If there is not enough testing capacity to test all of Queue 2
if (Q_2 > L_2){
total_samples_for_PCR_Testing_Q2 = L_2;
Q_2 = Q_2 - L_2;
L_2 = 0;
//Else if there is enough capcity to test all of Queue 2
}else{
total_samples_for_PCR_Testing_Q2 = Q_2;
Q_2 = 0;
L_2 = L_2 - total_samples_for_PCR_Testing_Q2;
}
//Recall that we do not keep track of the results of the PCR testing in Queue 2,
//as it will not impact the count of reported cases.
//We are also not worried about lags here.
//Queue 3
//Initial states
neg_samples_Q3 = 0;
L_3 = L_2;
//Take into account loss rate due to recovery
//NOT IMPLEMENTED YET
double mu_2 = gamma;
double single_cohort_loss = 0;
for(k=0; k<K; k++) {
single_cohort_loss = rbinom(q_3[k], 1 - exp(-mu_2*dt));
q_3[k] = q_3[k] - single_cohort_loss;
}
double backlog_loss = rbinom(Backlog_Queue_3, 1 - exp(-mu_2*dt));
Backlog_Queue_3 = Backlog_Queue_3 - backlog_loss;
//Simulate loss in Q3 backlog
//Add new cases to Q3
q_3[0] = q_3[0] + C_Q3;
//Determine number of samples that will be tested from the backlog of Queue 3
//If Backlog is greater than testing capacity:
if(Backlog_Queue_3 > L_3){
total_samples_for_PCR_Testing_backlog_Q3 = L_3;
Backlog_Queue_3 = Backlog_Queue_3 - L_3;
L_3 = 0;
//There is enough capcity to test the whole Q_3 backlog
}else{
total_samples_for_PCR_Testing_backlog_Q3 = Backlog_Queue_3;
L_3 = L_3 - total_samples_for_PCR_Testing_backlog_Q3;
Backlog_Queue_3 = 0;
}
//Simulate PCR for backlogged cases in Q3
Y_Q3_backlog = rbinom(total_samples_for_PCR_Testing_backlog_lag_2_Q3, PCR_sens);
neg_samples_Q3 = neg_samples_Q3 + total_samples_for_PCR_Testing_backlog_lag_2_Q3 - Y_Q3_backlog;
//Update PCR testing compartments for Q3 backlog
total_samples_for_PCR_Testing_backlog_lag_2_Q3 = total_samples_for_PCR_Testing_backlog_lag_1_Q3;
total_samples_for_PCR_Testing_backlog_lag_1_Q3 = total_samples_for_PCR_Testing_backlog_Q3;
//Determine number of samples that will be tested from each sampling cohort of Queue 3
//Loop through each cohort in Queue 3 (Q3_k) starting with the oldest (Q3_K)
// and ending with the most recent (Q3_1).
for(k=K-1; k>=0; k--) {
//If L_3 is smaller than cohort (i.e. L_3 < Q_{3_k} :
if(q_3[k] > L_3){
total_samples_for_PCR_Testing_q3[k] = L_3;
q_3[k] = q_3[k] - L_3;
L_3 = 0;
//There is enough capacity to test cohort $k$
}else{
total_samples_for_PCR_Testing_q3[k] = q_3[k];
q_3[k] = 0;
L_3 = L_3 - total_samples_for_PCR_Testing_q3[k];
}
}
//Simulate PCR Testing on each sampling cohort in Q3
//Loop over all cohorts k from 1:K
for(k=0; k<K; k++) {
y_q3[k] = rbinom(total_samples_for_PCR_Testing_lag_2_q3[k], PCR_sens);
neg_samples_Q3 = neg_samples_Q3 + total_samples_for_PCR_Testing_lag_2_q3[k] - y_q3[k];
}
//Update lags for total samples for PCR testing for Q3
for(k=0; k<K; k++) {
total_samples_for_PCR_Testing_lag_2_q3[k] = total_samples_for_PCR_Testing_lag_1_q3[k];
total_samples_for_PCR_Testing_lag_1_q3[k] = total_samples_for_PCR_Testing_q3[k];
}
//Update positive case matrix (P_Q3)
//For all daily sampling cohorts k within the last 14 days:
for(k=0; k<K; k++) {
p_q3[k] = p_q3[k] + y_q3[k];
}
//Re-testing (Add lagged positive samples from Queue 3 into Queue 4)
//The state variable First_re_test_Q3 are samples that we first re-sampled
// during the previous day. They now need to be re-sampled a second time.
Second_re_test_Q3 = First_re_test_Q3;
C_Q4 = Second_re_test_Q3;
//Let K be the oldest cohort stored (K=14).
//This cohort will have their first re-sampling conducted.
// We use K-1 for C notation.
First_re_test_Q3 = p_q3[K-1];
C_Q4 = C_Q4 + First_re_test_Q3;
//Increment P_Q3 Sampling Cohorts
P_Q3_old[0] = p_q3[0]; //Store first cohort
//For k in 2:K: (or in C notation k in 1:K-1):
for(k=1; k<K; k++) {
P_Q3_old[k] = p_q3[k];
p_q3[k] = P_Q3_old[k-1];
}
//For the newest cohort where k = 1 (or k=0 in C notation):
p_q3[0] = 0; //(Making space for next cohort arrival)
//Note that the oldest cohort (p_q3_old[K-1]) is never used
//since p_q3[K-1] has already been transferred to First_re_test_Q3
//Create placeholder array to store
// current Q3
for(k=0; k<K; k++) {
Q3_old[k] = q_3[k];
}
//Add oldest cohort to backlog
// k=K (or K-1 in C notation)
Backlog_Queue_3 = Backlog_Queue_3 + Q3_old[K-1];
//Update Q3 Sampling cohorts by 1
//For integer k in k>1 and k<=K
// (or in C notation k = 1 to k < K):
for(k=1; k<K; k++) {
q_3[k] = Q3_old[k-1];
}
//Make space for newest cohort when k=1
// (in C notation k = 0) :
q_3[0] = 0;
//Queue 4
//Add new cases to queue
Q_4 = Q_4 + C_Q4;
//Determine number of samples that will be tested from Queue 4
//Recall that L_4 is the testing capacity available at the end of Queue 4.
L_4 = L_3;
//If there is insufficent capacity (Queue 4 is bigger than L_4)
if(Q_4>L_4){
total_samples_for_PCR_Testing_Q4 = L_4;
Q_4 = Q_4 - L_4;
L_4 = 0;
//There is enough capacity(Q_4 < L_4)
}else{
total_samples_for_PCR_Testing_Q4 = Q_4;
Q_4 = 0;
L_4 = L_4 - total_samples_for_PCR_Testing_Q4;
}
//Recall that we do not keep track of the results of the PCR testing in Queue 4,
//as it will not impact the count of reported cases.
//We are also not worried about lags here,
//and we assume that all samples that enter Queue 4
//are eventually tested (no additional loss rates).
//Queue 5:Asymptomatic Testing
total_sample_size = S + E_1 + E_2 + E_3 + E_4 + E_5 + I_P + I_S_1 + R_A + R_F + R_H;
multinom_prob[0] = PCR_sens*E_1/total_sample_size;
multinom_prob[1] = PCR_sens*E_2/total_sample_size;
multinom_prob[2] = PCR_sens*E_3/total_sample_size;
multinom_prob[3] = PCR_sens*E_4/total_sample_size;
multinom_prob[4] = PCR_sens*E_5/total_sample_size;
multinom_prob[5] = PCR_sens*I_P/total_sample_size;
multinom_prob[6] = PCR_sens*I_S_1/total_sample_size;
double total_Q5_prob = multinom_prob[0] + multinom_prob[1] + multinom_prob[2];
total_Q5_prob = total_Q5_prob + multinom_prob[3] + multinom_prob[4] + multinom_prob[5];
total_Q5_prob = total_Q5_prob + multinom_prob[6] ;
multinom_prob[7] = 1 - total_Q5_prob;
//rmultinom(1,L_4, &multinom_prob, &multinom_output);
rmultinom(L_4, &multinom_prob[0], 8, &multinom_output[0]);
double E_1_infected = 0;
double E_2_infected = 0;
double E_3_infected = 0;
double E_4_infected = 0;
double E_5_infected = 0;
double I_P_infected = 0;
double I_S_1_infected = 0;
neg_samples_Q5 = 0;
//Update population comparmtents
E_1 = E_1 - E_1_infected;
E_2 = E_2 - E_2_infected;
E_3 = E_3 - E_3_infected;
E_4 = E_4 - E_4_infected;
E_5 = E_5 - E_5_infected;
I_P = I_P - I_P_infected;
I_S_1 = I_S_1 - I_S_1_infected;
Y_Q5 = E_1_infected + E_2_infected + E_3_infected + E_4_infected + E_5_infected +I_P_infected + I_S_1_infected;
A_T = A_T + Y_Q5;
//Calculate total cases to report
total_neg_samples_all_queues = 0;
for(v=0; v<V; v++) {
Y_sum = Y_sum + y_q1[v];
total_neg_samples_all_queues = total_neg_samples_all_queues + y_qnc[v];
}
for(k=0; k<K; k++) {
Y_sum = Y_sum + y_q3[k];
}
Y_sum = Y_sum + Y_Q1_backlog + Y_Q3_backlog;
total_neg_samples_all_queues = total_neg_samples_all_queues +neg_samples_Q1;
total_neg_samples_all_queues = total_neg_samples_all_queues +neg_samples_Q3;
//double positive_plus_negative_tests = Y_sum + total_neg_samples_all_queues;
//Prop_Positive_Tests_Track = Y_sum/positive_plus_negative_tests;
//Toy Reporting (Queues not yet implemented)
//Y_Q1 = C_Q1;
//Y_Q3 = C_Q3;
//Y_sum = C_Q1 + C_Q3;
if(L_orig >0){
Prop_Positive_Tests_Track = Y_sum/L_orig;
}else{
Prop_Positive_Tests_Track = 0; //Assign 0 if no testing yet
}
//Error checks- Bottom of model
if(R_A < 0 || R_F < 0 || R_H < 0 || I_A < 0 || I_P < 0 || I_H < 0 || I_S_1 < 0 || I_S_2 < 0 || S < 0 || N < 0 || Backlog_Queue_1 < 0 || Q_2 < 0 ||Backlog_Queue_3 < 0 || Q_4 < 0 |Backlog_Queue_NC < 0|| First_re_test_Q1 < 0 || Second_re_test_Q1 < 0 || First_re_test_Q3 < 0 || Second_re_test_Q3 < 0 || total_samples_for_PCR_Testing_backlog_Q1 < 0 || total_samples_for_PCR_Testing_backlog_lag_1_Q1 < 0 || total_samples_for_PCR_Testing_backlog_lag_2_Q1 < 0 || total_samples_for_PCR_Testing_backlog_Q3 < 0 || total_samples_for_PCR_Testing_backlog_lag_1_Q3 < 0 || total_samples_for_PCR_Testing_backlog_lag_2_Q3 < 0 ||total_samples_for_PCR_Testing_backlog_QNC < 0 || total_samples_for_PCR_Testing_backlog_lag_1_QNC < 0 || total_samples_for_PCR_Testing_backlog_lag_2_QNC < 0 || neg_samples_Q1 < 0 || neg_samples_Q3 < 0 || total_neg_samples_all_queues < 0 || L_advanced_2_days < 0 || G_w_y < 0 || L_int < 0 || F_w_y < 0 || L_1 < 0 || w < 0 || L_2 < 0 || L_3 < 0 || L_4 < 0 || y < 0){
Neg_State_Value_Detected = TRUE;
Rprintf(\"Negative state variable detected at bottom of process model t = %lg \\n\", t);
}
sum_everything = R_A + R_F + R_H + I_A + I_P + I_H + I_S_1 + I_S_2 + S + N;
sum_everything = sum_everything + Backlog_Queue_1 + Backlog_Queue_3 + Backlog_Queue_NC + Q_2 + Q_4;
sum_everything = sum_everything + First_re_test_Q1 + First_re_test_Q3 +Second_re_test_Q1 + Second_re_test_Q3;
sum_everything = sum_everything + total_samples_for_PCR_Testing_backlog_Q1 + total_samples_for_PCR_Testing_backlog_Q3 + total_samples_for_PCR_Testing_backlog_QNC;
sum_everything = sum_everything + total_samples_for_PCR_Testing_backlog_lag_1_Q1 + total_samples_for_PCR_Testing_backlog_lag_1_Q3 + total_samples_for_PCR_Testing_backlog_lag_1_QNC;
sum_everything = sum_everything + total_samples_for_PCR_Testing_backlog_lag_2_Q1 + total_samples_for_PCR_Testing_backlog_lag_2_Q3 + total_samples_for_PCR_Testing_backlog_lag_2_QNC;
sum_everything = sum_everything + neg_samples_Q1 + neg_samples_Q3 + total_neg_samples_all_queues;
sum_everything = sum_everything + L_advanced_2_days + G_w_y + F_w_y + L_int + L_1 + L_2 + L_3 + L_4 + w + y;
if(isnan(sum_everything)){
NAN_State_Value_Detected = TRUE;
Rprintf(\"nan state variable detected at bottom of process model t = %lg \\n\", t);
}
//Check Exposed Compartments
for(m=0; m<M; m++) {
if(isnan(e[m])){
NAN_State_Value_Detected = TRUE;
Rprintf(\"nan state variable detected at bottom of process model t = %lg \\n\", t);
}
if(e[m] < 0) {
Neg_State_Value_Detected = TRUE;
Rprintf(\"Negative state variable detected at bottom of process model t = %lg \\n\", t);
}
}
//Check Q_1 and Q_NC arrays
for(v=0; v<V; v++) {
if(isnan(q_1[v]) || isnan(q_nc[v]) || isnan(p_q1[v]) || isnan(total_samples_for_PCR_Testing_q1[v]) || isnan(total_samples_for_PCR_Testing_qnc[v]) || isnan(total_samples_for_PCR_Testing_lag_1_q1[v]) || isnan(total_samples_for_PCR_Testing_lag_1_qnc[v]) || isnan(total_samples_for_PCR_Testing_lag_2_q1[v]) || isnan(total_samples_for_PCR_Testing_lag_2_qnc[v])){
NAN_State_Value_Detected = TRUE;
Rprintf(\"nan state variable detected at bottom of process model t = %lg \\n\", t);
}
if(q_1[v] < 0 || q_nc[v] < 0 || p_q1[v] < 0 || total_samples_for_PCR_Testing_q1[v] < 0 || total_samples_for_PCR_Testing_qnc[v] < 0 || total_samples_for_PCR_Testing_lag_1_q1[v] < 0 || total_samples_for_PCR_Testing_lag_1_qnc[v] < 0 || total_samples_for_PCR_Testing_lag_2_q1[v] < 0 || total_samples_for_PCR_Testing_lag_2_qnc[v] < 0 ) {
Neg_State_Value_Detected = TRUE;
Rprintf(\"Negative state variable detected at bottom of process model t = %lg \\n\", t);
}
}
//Check Q_3 Arrays
for(k=0; k<K; k++) {
if(isnan(q_3[k]) || isnan(p_q3[k]) || isnan(total_samples_for_PCR_Testing_q3[k]) || isnan(total_samples_for_PCR_Testing_lag_1_q3[k]) || isnan(total_samples_for_PCR_Testing_lag_2_q3[k]) || isnan(q_3[k])){
NAN_State_Value_Detected = TRUE;
Rprintf(\"nan state variable detected at bottom of process model t = %lg \\n\", t);
}
if(q_3[k] < 0 || p_q3[k] < 0 || total_samples_for_PCR_Testing_q3[k] < 0 || total_samples_for_PCR_Testing_lag_1_q3[k] < 0 || total_samples_for_PCR_Testing_lag_2_q3[k] < 0 ) {
Neg_State_Value_Detected = TRUE;
Rprintf(\"Negative state variable detected at bottom of process model t = %lg \\n\", t);
}
}
int print_out_bottom = (Error_Printing_Complete == FALSE) & (Neg_State_Value_Detected == TRUE || NAN_State_Value_Detected == TRUE);
if(print_out_bottom){
Rprintf(\"I_S_1 = %lg \\n\", I_S_1);
Rprintf(\"I_S_2 = %lg \\n\", I_S_2);
Rprintf(\"I_H = %lg \\n\", I_H);
Rprintf(\"I_A = %lg \\n\", I_A);
Rprintf(\"I_P = %lg \\n\", I_P);
Rprintf(\"Backlog_Queue_1 = %lg \\n\", Backlog_Queue_1);
Rprintf(\"Backlog_Queue_3 = %lg \\n\", Backlog_Queue_3);
Rprintf(\"Backlog_Queue_NC = %lg \\n\", Backlog_Queue_NC);
Rprintf(\"First_re_test_Q1 = %lg \\n\", First_re_test_Q1);
Rprintf(\"First_re_test_Q3 = %lg \\n\", First_re_test_Q3);
Rprintf(\"Second_re_test_Q1 = %lg \\n\", Second_re_test_Q1);
Rprintf(\"Second_re_test_Q3 = %lg \\n\", Second_re_test_Q3);
Rprintf(\"total_samples_for_PCR_Testing_backlog_Q1 = %lg \\n\", total_samples_for_PCR_Testing_backlog_Q1);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_1_Q1 = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_1_Q1);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_2_Q1 = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_2_Q1);
Rprintf(\"total_samples_for_PCR_Testing_backlog_Q3 = %lg \\n\", total_samples_for_PCR_Testing_backlog_Q3);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_1_Q3 = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_1_Q3);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_2_Q3 = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_2_Q3);
Rprintf(\"total_samples_for_PCR_Testing_backlog_QNC = %lg \\n\", total_samples_for_PCR_Testing_backlog_QNC);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_1_QNC = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_1_QNC);
Rprintf(\"total_samples_for_PCR_Testing_backlog_lag_2_QNC = %lg \\n\", total_samples_for_PCR_Testing_backlog_lag_2_QNC);
Rprintf(\"neg_samples_Q1 = %lg \\n\", neg_samples_Q1);
Rprintf(\"neg_samples_Q3 = %lg \\n\", neg_samples_Q3);
Rprintf(\"total_neg_samples_all_queues = %lg \\n\", total_neg_samples_all_queues);
Rprintf(\"Q_2 = %lg \\n\", Q_2);
Rprintf(\"Q_4 = %lg \\n\", Q_4);
Rprintf(\"F_w_y = %lg \\n\", F_w_y);
Rprintf(\"w = %lg \\n\", w);
Rprintf(\"y = %lg \\n\", y);
Rprintf(\"E_1 = %lg \\n\", E_1);
Rprintf(\"E_2 = %lg \\n\", E_2);
Rprintf(\"E_3 = %lg \\n\", E_3);
Rprintf(\"E_4 = %lg \\n\", E_4);
Rprintf(\"E_5 = %lg \\n\", E_5);
Rprintf(\"I_P = %lg \\n\", I_P);
Rprintf(\"dE_m_E_m_1[M-2] = %lg \\n\", dE_m_E_m_1[M-2]);
Rprintf(\"lambda_FOI = %lg \\n\", lambda_FOI);
Rprintf(\"E_1_infected = %lg \\n\", E_1_infected);
Rprintf(\"dSE_1 = %lg \\n\", dSE_1);
Rprintf(\"dE_m_E_m_1[0] = %lg \\n\", dE_m_E_m_1[0]);
Rprintf(\"beta_t = %lg \\n\", beta_t);
Rprintf(\"beta_a = %lg \\n\", beta_a);
Rprintf(\"dE_m_E_m_1[0] = %lg \\n\", dE_m_E_m_1[0]);
Rprintf(\"dE_m_E_m_1[1] = %lg \\n\", dE_m_E_m_1[1]);
Rprintf(\"dE_m_E_m_1[2] = %lg \\n\", dE_m_E_m_1[2]);
Rprintf(\"dI_P_I_A = %lg \\n\", dI_P_I_A);
Rprintf(\"dI_P_I_S_1 = %lg \\n\", dI_P_I_S_1);
Rprintf(\"dE_M_I_P = %lg \\n\", dE_M_I_P);
Rprintf(\"R_H = %lg \\n\", R_H);
Rprintf(\"R_A = %lg \\n\", R_A);
Rprintf(\"R_F = %lg \\n\", R_F);
Rprintf(\"N = %lg \\n\", N);
Rprintf(\"S = %lg \\n\", S);
Rprintf(\"L_advanced_2_days = %lg \\n\", L_advanced_2_days);
Rprintf(\"G_w_y = %lg \\n\", G_w_y);
Rprintf(\"L_int = %lg \\n\", L_int);
Rprintf(\"L_1 = %lg \\n\", L_1);
Rprintf(\"L_2 = %lg \\n\", L_2);
Rprintf(\"L_3 = %lg \\n\", L_3);
Rprintf(\"L_4 = %lg \\n\", L_4);
Rprintf(\"Print out params p_S = %lg \\n\", p_S);
Rprintf(\"p_H_cond_S = %lg \\n\", p_H_cond_S);
Rprintf(\"phi_E = %lg \\n\", phi_E);
Rprintf(\"phi_U = %lg \\n\", phi_U);
Rprintf(\"phi_S = %lg \\n\", phi_S);
Rprintf(\"h_V = %lg \\n\", h_V);
Rprintf(\"gamma = %lg \\n\", gamma);
Rprintf(\"R_0 = %lg \\n\", R_0);
Rprintf(\"b_q = %lg \\n\", b_q);
Rprintf(\"b_a = %lg \\n\", b_a);
Rprintf(\"b_p = %lg \\n\", b_p);
Rprintf(\"z_0 = %lg \\n\", z_0);
Rprintf(\"E_0 = %lg \\n\", E_0);
Rprintf(\"N_0 = %lg \\n\", N_0);
Rprintf(\"C_0 = %lg \\n\", C_0);
Rprintf(\"G_w_y_scaling = %lg \\n\", G_w_y_scaling);
Rprintf(\"quarantine_start_time = %lg \\n\", quarantine_start_time);
Rprintf(\"PCR_sens = %lg \\n\", PCR_sens);
Rprintf(\"sigma_M = %lg \\n\", sigma_M);
Rprintf(\"beta_w_3 = %lg \\n\", beta_w_3);
Rprintf(\"beta_w_2 = %lg \\n\", beta_w_2);
Rprintf(\"beta_w_1 = %lg \\n\", beta_w_1);
Rprintf(\"beta_w_0 = %lg \\n\", beta_w_0);
Rprintf(\"g_0 = %lg \\n\", g_0);
Rprintf(\"g_F = %lg \\n\", g_F);
Rprintf(\"sigma_epsilon = %lg \\n\", sigma_epsilon);
//Print out exposed compartments
for(m=0; m<M; m++) {
Rprintf(\"m = %d \\n\", m);
Rprintf(\"e[m] = %lg \\n\", e[m]);
}
//Print out Q_1 and Q_NC compartments
for(v=0; v<V; v++) {
Rprintf(\"v = %d \\n\", v);
Rprintf(\"q_1[v] = %lg \\n\", q_1[v]);
Rprintf(\"q_nc[v] = %lg \\n\", q_nc[v]);
Rprintf(\"p_q1[v] = %lg \\n\", p_q1[v]);
Rprintf(\"y_q1[v] = %lg \\n\", y_q1[v]);
Rprintf(\"total_samples_for_PCR_Testing_q1[v] = %lg \\n\", total_samples_for_PCR_Testing_q1[v]);
Rprintf(\"total_samples_for_PCR_Testing_qnc[v] = %lg \\n\", total_samples_for_PCR_Testing_qnc[v]);
Rprintf(\"total_samples_for_PCR_Testing_lag_1_q1[v] = %lg \\n\", total_samples_for_PCR_Testing_lag_1_q1[v]);
Rprintf(\"total_samples_for_PCR_Testing_lag_1_qnc[v] = %lg \\n\", total_samples_for_PCR_Testing_lag_1_qnc[v]);
Rprintf(\"total_samples_for_PCR_Testing_lag_2_q1[v] = %lg \\n\", total_samples_for_PCR_Testing_lag_2_q1[v]);
Rprintf(\"total_samples_for_PCR_Testing_lag_2_qnc[v] = %lg \\n\", total_samples_for_PCR_Testing_lag_2_qnc[v]);
}
//Print out Q_3 compartments
for(k=0; k<K; k++) {
Rprintf(\"k = %d \\n\", k);
Rprintf(\"q_3[k] = %lg \\n\", q_3[k]);
Rprintf(\"p_q3[k] = %lg \\n\", p_q3[k]);
Rprintf(\"y_q3[k] = %lg \\n\", y_q3[k]);
Rprintf(\"total_samples_for_PCR_Testing_q3[k] = %lg \\n\", total_samples_for_PCR_Testing_q3[k]);
Rprintf(\"total_samples_for_PCR_Testing_lag_1_q3[k] = %lg \\n\", total_samples_for_PCR_Testing_lag_1_q3[k]);
Rprintf(\"total_samples_for_PCR_Testing_lag_2_q3[k] = %lg \\n\", total_samples_for_PCR_Testing_lag_2_q3[k]);
}
Error_Printing_Complete = TRUE;
}
")Initialization Csnippet
init <- Csnippet("
//Rprintf(\"At top of init N_0 = %lg \\n\", N_0);
//Rprintf(\"At top of init E_0 = %lg \\n\", E_0);
int M = (int) M_0; //Number of exposed compartments
int V = (int) V_0; //Number of days spent in hospital (number of cohorts in Queues 1 and NC)
int K = (int) K_0; //Number of days spent in quarantine (number of cohorts in Queue 3)
int m; //Exposed compartment number
int v; //Queue 1/ Queue NC cohort number
int k; //Queue 3 cohort number
//Declare E pointer array
double *e=&E_1;
//Declare Queue 1 pointer arrays
double *q_1=&Q_1_1;
double *p_q1=&P_Q1_1;
double *total_samples_for_PCR_Testing_q1=&total_samples_for_PCR_Testing_Q1_1;
double *total_samples_for_PCR_Testing_lag_1_q1=&total_samples_for_PCR_Testing_lag_1_Q1_1;
double *total_samples_for_PCR_Testing_lag_2_q1=&total_samples_for_PCR_Testing_lag_2_Q1_1;
double *y_q1=&Y_Q1_1;
//Declare Queue NC pointer arrays
double *q_nc=&Q_NC_1;
double *total_samples_for_PCR_Testing_qnc=&total_samples_for_PCR_Testing_QNC_1;
double *total_samples_for_PCR_Testing_lag_1_qnc=&total_samples_for_PCR_Testing_lag_1_QNC_1;
double *total_samples_for_PCR_Testing_lag_2_qnc=&total_samples_for_PCR_Testing_lag_2_QNC_1;
double *y_qnc=&Y_QNC_1;
//Declare Queue 3 pointer arrays
double *q_3=&Q_3_1;
double *p_q3=&P_Q3_1;
double *total_samples_for_PCR_Testing_q3=&total_samples_for_PCR_Testing_Q3_1;
double *total_samples_for_PCR_Testing_lag_1_q3=&total_samples_for_PCR_Testing_lag_1_Q3_1;
double *total_samples_for_PCR_Testing_lag_2_q3=&total_samples_for_PCR_Testing_lag_2_Q3_1;
double *y_q3=&Y_Q3_1;
double E_init_total = 0;
double I_init_total = 0;
if(z_0 > N_0){
I_init_total = nearbyint(N_0);
E_init_total = 0;
S = 0;
}else{
if(E_0 > N_0){
E_init_total = nearbyint(N_0);
I_init_total = 0;
S = 0;
}else{
E_init_total = nearbyint(E_0);
int extra_cap = nearbyint(N_0) - nearbyint(E_0);
if(extra_cap < nearbyint(z_0)){
I_init_total = nearbyint(extra_cap);
S = 0;
}else{
I_init_total = nearbyint(z_0);
S = nearbyint(N_0) - nearbyint(z_0) - nearbyint(E_0);
}
}
}
//Assign early stage infections
double time_pre_symp = 1/phi_U;
double time_symp = 1/phi_S;
double prop_time_pre_symp = time_pre_symp/(time_pre_symp + time_symp);
double total_init_I_symp = nearbyint(p_S*I_init_total);
I_A = nearbyint((1-p_S)*I_init_total);
I_P = nearbyint(prop_time_pre_symp*total_init_I_symp);
I_S_1 = nearbyint((1-prop_time_pre_symp)*total_init_I_symp);
//Late stage infection compartments
I_S_2 = 0;
I_H = 0;
//Recovered Compartments
R_A = 0;
R_F = 0;
R_H = 0;
//Whole Population
N = nearbyint(N_0);
//Asymptomatic Testing Positive Cases (in isolation)
A_T = 0;
//Transmission Rate
double total_time_infected = (1/gamma) + (1/phi_S);
double gamma_total = 1/total_time_infected;
double Beta_0 = R_0*(gamma_total);
beta_t = Beta_0;
//Reported Cases
C_Q1 = nearbyint(p_H_cond_S*C_0);
C_Q2 = 0;
C_Q3 = nearbyint((1-p_H_cond_S)*C_0);
C_Q4 = 0;
Y_sum = 0;
//Queue
L_int = nearbyint(L_advanced_2_days);
L_1 = 0;
L_2 = 0;
L_3 = 0;
L_4 = 0;
Prop_Positive_Tests_Track = 0;
G_w_y = 0;
Q_2 = 0;
Q_4 = 0;
Backlog_Queue_1 = 0;
Backlog_Queue_NC = 0;
Backlog_Queue_3 = 0;
First_re_test_Q1 = 0;
First_re_test_Q3 = 0;
Second_re_test_Q1 = 0;
Second_re_test_Q3 = 0;
total_samples_for_PCR_Testing_backlog_QNC = 0;
total_samples_for_PCR_Testing_backlog_Q1 = 0;
total_samples_for_PCR_Testing_backlog_Q3 = 0;
total_samples_for_PCR_Testing_backlog_lag_1_Q1 = 0;
total_samples_for_PCR_Testing_backlog_lag_1_Q3 = 0;
total_samples_for_PCR_Testing_backlog_lag_1_QNC = 0;
total_samples_for_PCR_Testing_backlog_lag_2_Q1 = 0;
total_samples_for_PCR_Testing_backlog_lag_2_Q3 = 0;
total_samples_for_PCR_Testing_backlog_lag_2_QNC = 0;
total_samples_for_PCR_Testing_Q2 = 0;
total_samples_for_PCR_Testing_Q4 = 0;
neg_samples_Q1 = 0;
neg_samples_Q3 = 0;
neg_samples_Q5 = 0;
total_neg_samples_all_queues = 0;
Y_Q1_backlog = 0;
Y_QNC_backlog = 0;
Y_Q3_backlog = 0;
//Initialize Q5 variables
infected_sample_size = 0;
total_sample_size = 0;
prob_infected_Q5 = 0;
total_samples_for_PCR_Testing_Q5 = 0;
Y_Q5 = 0;
//Initialize Arrays
//Exposed compartment (including first one)
for(m = 0; m < M; m++){
e[m] = nearbyint(E_init_total/5);
}
//Queue 1 and Queue NC arrays
for(v = 0; v < V; v++){
q_1[v] = 0;
q_nc[v] = 0;
p_q1[v] = 0;
total_samples_for_PCR_Testing_q1[v] = 0;
total_samples_for_PCR_Testing_qnc[v] = 0;
total_samples_for_PCR_Testing_lag_1_q1[v] = 0;
total_samples_for_PCR_Testing_lag_1_qnc[v] = 0;
total_samples_for_PCR_Testing_lag_2_q1[v] = 0;
total_samples_for_PCR_Testing_lag_2_qnc[v] = 0;
y_q1[v] = 0;
y_qnc[v] = 0;
}
//Queue 3 arrays
for(k = 0; k < K; k++){
q_3[k] = 0;
p_q3[k] = 0;
total_samples_for_PCR_Testing_q3[k] = 0;
total_samples_for_PCR_Testing_lag_1_q3[k] = 0;
total_samples_for_PCR_Testing_lag_2_q3[k] = 0;
y_q3[k] = 0;
}
//Set Flags
Neg_State_Value_Detected = FALSE;
NAN_State_Value_Detected = FALSE;
Error_Printing_Complete = FALSE;
//Rprintf(\"At init N = %lg \\n\", N);
//Rprintf(\"At init S = %lg \\n\", S);
//Rprintf(\"At init E_1 = %lg \\n\", E_1);
//Rprintf(\"At init I_P = %lg \\n\", I_P);
//Rprintf(\"At init I_S_1 = %lg \\n\", I_S_1);
//Rprintf(\"At init C_Q1 = %lg \\n\", C_Q2);
")Parameter Transforms
par_trans = parameter_trans(log = c("R_0", "gamma", "h_V",
"phi_E", "phi_U", "phi_S",
"E_0", "z_0", "N_0", "C_0", "sigma_M"),
logit = c("PCR_sens", "p_S", "p_H_cond_S",
"b_q", "b_a", "b_p", "G_w_y_scaling"))Measurement Model
rmeas <- Csnippet("
double size = 1.0/sigma_M/sigma_M;
Y = rnbinom_mu(size,Y_sum);
double prop_sd = sqrt(Prop_Positive_Tests_Track*(1-Prop_Positive_Tests_Track)/L_int);
obs_prop_positive = rnorm(Prop_Positive_Tests_Track, prop_sd);
")dmeas <- Csnippet("
if(isnan(Y)){
lik = 0;
}else{
if(G_w_y_scaling > 0.33){
lik = -39;
}else{
double size = 1.0/sigma_M/sigma_M;
static double tol = 0.1;
double prop_sd = sqrt(Prop_Positive_Tests_Track*(1-Prop_Positive_Tests_Track)/L_int);
double lik_2 = dnorm(obs_prop_positive,Prop_Positive_Tests_Track,prop_sd,1);
lik = dnbinom_mu(Y,size,Y_sum+tol,1);
}
}
//Debugging Print Code
//Rprintf(\"t = %lg \\n\", t);
//Rprintf(\"I_S_1 = %lg \\n\", I_S_1);
//Rprintf(\"Lik = %lg \\n\", lik);
//Rprintf(\"Y = %lg \\n\", Y);
//Rprintf(\"Y_sum = %lg \\n\", Y_sum);
//Rprintf(\"tol = %lg \\n\", tol);
//Rprintf(\"size = %lg \\n\", size);
if (!give_log) lik = exp(lik);
")Simulate from reasonable parameters
Definte reasonable parameters
##Initial param guesses
phi_E = 1.09
phi_U = phi_E
phi_S = 1/5
h_V = 1/13
p_S = 0.15
p_H_cond_S = 0.30
gamma = 1/3
true_quarantine_start_time= as.Date("2020-03-23")
true_social_distancing_start_time = as.Date("2020-03-19")
converted_quarantine_start_time = true_quarantine_start_time - true_start_date
converted_quarantine_start_time## Time difference of 22 daysquarantine_start_time = as.numeric(converted_quarantine_start_time)
converted_social_distancing_start_time = true_social_distancing_start_time - true_start_date
converted_social_distancing_start_time## Time difference of 18 dayssocial_distancing_start_time = as.numeric(converted_social_distancing_start_time)
PCR_sens = 0.90
b_a = 1
R_0 = 10.25
b_q = .08
b_p = 0;
E_0 = 15200
z_0 = 15200
N_0 = 8.0e6
C_0 = 0
sigma_M = 0.25
G_w_y_scaling = 0.162
param_vec = c(M_0 = M,
V_0 = V,
K_0 = K,
phi_E = phi_E,
phi_U = phi_U,
phi_S = phi_S,
h_V = h_V,
p_S = p_S,
p_H_cond_S = p_H_cond_S,
gamma = gamma,
quarantine_start_time = quarantine_start_time,
social_distancing_start_time = social_distancing_start_time,
PCR_sens = PCR_sens,
b_q = b_q,
b_a = b_a,
b_p = b_p,
R_0 = R_0,
E_0 = E_0,
z_0 = z_0,
N_0 = N_0,
C_0 = C_0,
sigma_M = sigma_M,
beta_w_3 = beta_w_3,
beta_w_2 = beta_w_2,
beta_w_1 = beta_w_1,
beta_w_0 = beta_w_0,
g_0 = g_0,
g_F = g_F,
sigma_epsilon = sigma_epsilon,
G_w_y_scaling = G_w_y_scaling)
param_vec## M_0 V_0
## 5.000000e+00 1.300000e+01
## K_0 phi_E
## 1.400000e+01 1.090000e+00
## phi_U phi_S
## 1.090000e+00 2.000000e-01
## h_V p_S
## 7.692308e-02 1.500000e-01
## p_H_cond_S gamma
## 3.000000e-01 3.333333e-01
## quarantine_start_time social_distancing_start_time
## 2.200000e+01 1.800000e+01
## PCR_sens b_q
## 9.000000e-01 8.000000e-02
## b_a b_p
## 1.000000e+00 0.000000e+00
## R_0 E_0
## 1.025000e+01 1.520000e+04
## z_0 N_0
## 1.520000e+04 8.000000e+06
## C_0 sigma_M
## 0.000000e+00 2.500000e-01
## beta_w_3 beta_w_2
## 1.215073e-02 9.810086e-01
## beta_w_1 beta_w_0
## -3.723481e+01 2.294094e+02
## g_0 g_F
## 1.183300e+03 1.162005e-01
## sigma_epsilon G_w_y_scaling
## 1.091121e+02 1.620000e-01Call simulate
sim_data = simulate(nsim = 100,
seed = 23456,
times = Observed_data$times,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
covar = covar,
format = "data.frame",
obs = FALSE)## in 'pomp': the unrecognized argument 'obs' is available for use by the POMP basic components.#head(sim_data)Plot from simulated data
sim_data_median_Y = aggregate(Y ~ time, sim_data, median)
sim_data_quant = aggregate(Y ~ time, sim_data, quantile, probs = c(0.025, 0.975))
sim_data_quant$Y = as.data.frame(sim_data_quant$Y)
colnames(sim_data_quant$Y) = c("Q2.5", "Q97.5")
comp_data = data.frame(time = sim_data_median_Y$time,
sim_data_median = sim_data_median_Y$Y,
sim_data_low_Q = sim_data_quant$Y$Q2.5,
sim_data_high_Q = sim_data_quant$Y$Q97.5,
true_data = Observed_data$Y)
comp_data_melt = melt(comp_data, id.vars = c("time", "sim_data_low_Q",
"sim_data_high_Q"))
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable)) +
rahul_theme +
theme_white_background +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
median_legend_lab +
xlab("Days since March 1 2020")+
ylab("Observed Daily Cases")
p
figure_name = paste0("../Figures/Local_Simulation_Tests/", model_name, "_test_sim_from_inital_params.png")
png(figure_name)
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = log(sim_data_low_Q),
ymax = log(sim_data_high_Q)), fill = "grey70") +
geom_line(aes(x = time, y = log(value), color = variable)) +
geom_point(aes(x = time, y = log(value), color = variable)) +
rahul_theme +
theme_white_background +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
median_legend_lab +
xlab("Days since March 1 2020")+
ylab("Observed Daily Cases")
p
### S over N
sim_data$S_over_N = sim_data$S/sim_data$N
sim_data_S_over_N_median = aggregate(S_over_N ~ time, sim_data, median)
sim_data_S_over_N_quant = aggregate(S_over_N ~ time, sim_data, quantile, probs = c(0.025, 0.975))
sim_data_S_over_N_quant$S_over_N = as.data.frame(sim_data_S_over_N_quant$S_over_N)
colnames(sim_data_S_over_N_quant$S_over_N) = c("Q2.5", "Q97.5")
comp_data = data.frame(time = sim_data_S_over_N_median$time,
sim_data_median = sim_data_S_over_N_median$S_over_N,
sim_data_low_Q = sim_data_S_over_N_quant$S_over_N$Q2.5,
sim_data_high_Q = sim_data_S_over_N_quant$S_over_N$Q97.5)
comp_data_melt = melt(comp_data, id.vars = c("time", "sim_data_low_Q",
"sim_data_high_Q"))
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("S over N")
p
png("../Figures/MIF_local_test_results/N_12_Model_sim_test_params_S_over_N.png")
print(p)
dev.off()## quartz_off_screen
## 2###Diagnostic Plotting
state_var_list = colnames(sim_data)
combined_sim_var_df = data.frame(matrix(nrow = 0, ncol = 5))
colnames(combined_sim_var_df) = c("time", "median", "low_Q", "high_Q",
"var")
for(var_index in seq(from = 3, to = length(state_var_list))){
single_var = state_var_list[var_index]
#print(single_var)
single_var_data = dplyr::select(sim_data,
time,
.id,
target_var = single_var)
single_var_df = single_var_data %>%
group_by(time)%>%
summarize(median = median(target_var),
low_Q = quantile(target_var, 0.025),
high_Q = quantile(target_var, 0.975)) %>%
as.data.frame() %>%
mutate(var = single_var)
combined_sim_var_df = rbind(combined_sim_var_df, single_var_df)
}
epi_comp_list = c("S", "E_1","I_P","I_S_1", "I_S_2", "I_A", "I_H", "R_A", "R_F", "R_H", "A_T", "beta")
S_Comp_only = combined_sim_var_df %>%
filter(var %in% epi_comp_list)
p = ggplot(data = S_Comp_only) +
geom_ribbon(aes(x = time, ymin = low_Q,
ymax = high_Q), fill = "grey70") +
geom_line(aes(x = time, y = median, color = 'red')) +
geom_point(aes(x = time, y = median, color = 'red')) +
rahul_theme +
theme_white_background +
median_legend_lab +
xlab("Days since March 1, 2020")+
ylab("State variable value") +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
facet_wrap(~var, scales = "free_y") +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
theme(legend.position = "none")
p
Accum_and_pop_var_list = c("C_Q1", "C_Q2","C_QNC",
"C_Q3","C_Q4",
"Y_sum", "N", "G_w_y")
Accum_and_pop_var_only = combined_sim_var_df %>%
filter(var %in% Accum_and_pop_var_list)
p = ggplot(data = Accum_and_pop_var_only) +
geom_ribbon(aes(x = time, ymin = low_Q,
ymax = high_Q), fill = "grey70") +
geom_line(aes(x = time, y = median, color = 'red')) +
geom_point(aes(x = time, y = median, color = 'red')) +
rahul_theme +
theme_white_background +
median_legend_lab +
xlab("Days since March 1, 2020")+
ylab("State variable value") +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
facet_wrap(~var, scales = "free_y") +
theme(legend.position = "none")
p
Queue_comp_list = c("Backlog_Queue_1", "Backlog_Queue_NC", "Q_2","Backlog_Queue_3", "Q_4",
"neg_samples_Q1", "neg_samples_Q3", "total_neg_samples_all_queues", "L_int")
Queue_Comp_only = combined_sim_var_df %>%
filter(var %in% Queue_comp_list)
p = ggplot(data = Queue_Comp_only) +
geom_ribbon(aes(x = time, ymin = low_Q,
ymax = high_Q), fill = "grey70") +
geom_line(aes(x = time, y = median, color = 'red')) +
geom_point(aes(x = time, y = median, color = 'red')) +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
rahul_theme +
theme_white_background +
median_legend_lab +
xlab("Days since March 1, 2020")+
ylab("State variable value") +
facet_wrap(~var, scales = "free_y") +
theme(legend.position = "none")
p
flag_list = c( "Neg_State_Value_Detected",
"NAN_State_Value_Detected",
"Error_Printing_Complete")
flag_only = combined_sim_var_df %>%
filter(var %in% flag_list)
p = ggplot(data = flag_only) +
geom_ribbon(aes(x = time, ymin = low_Q,
ymax = high_Q), fill = "grey70") +
geom_line(aes(x = time, y = median, color = 'red')) +
geom_point(aes(x = time, y = median, color = 'red')) +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
rahul_theme +
theme_white_background +
median_legend_lab +
xlab("Days since March 1, 2020")+
ylab("State variable value") +
facet_wrap(~var, scales = "free_y") +
theme(legend.position = "none")
p
backlog_var_list = c( "Backlog_Queue_1",
"total_samples_for_PCR_Testing_backlog_Q1",
"total_samples_for_PCR_Testing_backlog_lag_1_Q1",
"total_samples_for_PCR_Testing_backlog_lag_2_Q1",
"Backlog_Queue_NC",
"total_samples_for_PCR_Testing_backlog_QNC",
"total_samples_for_PCR_Testing_backlog_lag_1_QNC",
"total_samples_for_PCR_Testing_backlog_lag_2_QNC",
"Backlog_Queue_3",
"total_samples_for_PCR_Testing_backlog_Q3",
"total_samples_for_PCR_Testing_backlog_lag_1_Q3",
"total_samples_for_PCR_Testing_backlog_lag_2_Q3")
backlog_var_only = combined_sim_var_df %>%
filter(var %in% backlog_var_list)
p = ggplot(data = backlog_var_only) +
geom_ribbon(aes(x = time, ymin = low_Q,
ymax = high_Q), fill = "grey70") +
geom_line(aes(x = time, y = median, color = 'red')) +
geom_point(aes(x = time, y = median, color = 'red')) +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
rahul_theme +
theme_white_background +
median_legend_lab +
xlab("Backlog Variables Only -Days since March 1, 2020")+
ylab("State variable value") +
facet_wrap(~var, scales = "free_y") +
theme(legend.position = "none")
p
queues_2_and_4_var_list = c("C_Q2","Q_2",
"total_samples_for_PCR_Testing_Q2",
"C_Q4", "Q_4",
"total_samples_for_PCR_Testing_Q4",
"Y_Q5", "neg_samples_Q5", "L_4")
queues_2_and_4_var_only = combined_sim_var_df %>%
filter(var %in% queues_2_and_4_var_list)
p = ggplot(data = queues_2_and_4_var_only) +
geom_ribbon(aes(x = time, ymin = low_Q,
ymax = high_Q), fill = "grey70") +
geom_line(aes(x = time, y = median, color = 'red')) +
geom_point(aes(x = time, y = median, color = 'red')) +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
rahul_theme +
theme_white_background +
median_legend_lab +
xlab("Queues 2 and 4 Variables Only -Days since March 1, 2020")+
ylab("State variable value") +
facet_wrap(~var, scales = "free_y") +
theme(legend.position = "none")
p
### Hospitalization Comparison with Syndrome Surveliance
obs_resp_synd_df_raw = read.csv(
file = "../Generated_Data/simulated_non_COVID_data.csv")
#head(obs_resp_synd_df_raw)Array diagnostic testing
Exposed state compartments
exposed_list = sprintf("E_%d",1:M)
exposed_only = combined_sim_var_df %>%
filter(var %in% exposed_list)
p = ggplot(data = exposed_only) +
geom_ribbon(aes(x = time, ymin = low_Q,
ymax = high_Q), fill = "grey70") +
geom_line(aes(x = time, y = median, color = 'red')) +
geom_point(aes(x = time, y = median, color = 'red')) +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
rahul_theme +
theme_white_background +
median_legend_lab +
xlab("Days since March 1, 2020")+
ylab("State variable value") +
facet_wrap(~var, scales = "free_y") +
theme(legend.position = "none")
p
Queue 1 Testing
Queue 1 Compartments
variables_to_loop_through = c("Q_1_","P_Q1_",
"total_samples_for_PCR_Testing_Q1_",
"total_samples_for_PCR_Testing_lag_1_Q1_",
"total_samples_for_PCR_Testing_lag_2_Q1_",
"Y_Q1_",
"Q_NC_",
"total_samples_for_PCR_Testing_QNC_",
"total_samples_for_PCR_Testing_lag_1_QNC_",
"total_samples_for_PCR_Testing_lag_2_QNC_",
"Y_QNC_",
"Q_3_",
"P_Q3_",
"total_samples_for_PCR_Testing_Q3_",
"total_samples_for_PCR_Testing_lag_1_Q3_",
"total_samples_for_PCR_Testing_lag_2_Q3_",
"Y_Q3_")
Array_size_list = c(rep(V, 11), rep(K,6))
plot_array_var = function(array_var, Array_size){
single_var_array_list = sprintf(paste0(array_var,"%d"),1:Array_size)
array_vars_only = combined_sim_var_df %>%
filter(var %in% single_var_array_list)
p = ggplot(data = array_vars_only) +
geom_ribbon(aes(x = time, ymin = low_Q,
ymax = high_Q), fill = "grey70") +
geom_line(aes(x = time, y = median, color = 'red')) +
geom_point(aes(x = time, y = median, color = 'red')) +
geom_vline(xintercept = quarantine_start_time, color = 'blue') +
geom_vline(xintercept = social_distancing_start_time, color = 'orange') +
rahul_theme +
theme_white_background +
median_legend_lab +
xlab(paste0(array_var,"-","Days since March 1, 2020"))+
ylab("State variable value") +
facet_wrap(~var, scales = "free_y") +
theme(legend.position = "none")
print(p)
}
for(array_var_index in seq(1:length(variables_to_loop_through))){
plot_array_var(array_var = variables_to_loop_through[array_var_index],
Array_size = Array_size_list[array_var_index])
}
Queue 1 Passage Check
total_cases_entering_Q1 = sim_data %>%
dplyr::select(time,.id,C_Q1, Y_sum, neg_samples_Q1, Q_1_2,
Q_1_3, Q_1_13,
total_samples_for_PCR_Testing_Q1_1,
total_samples_for_PCR_Testing_Q1_2,
total_samples_for_PCR_Testing_Q1_3,
total_samples_for_PCR_Testing_Q1_4,
total_samples_for_PCR_Testing_Q1_5,
total_samples_for_PCR_Testing_Q1_6,
total_samples_for_PCR_Testing_Q1_7,
total_samples_for_PCR_Testing_Q1_8,
total_samples_for_PCR_Testing_Q1_9,
total_samples_for_PCR_Testing_Q1_10,
total_samples_for_PCR_Testing_Q1_11,
total_samples_for_PCR_Testing_Q1_12,
total_samples_for_PCR_Testing_Q1_13,
total_samples_for_PCR_Testing_backlog_Q1) %>%
group_by(.id) %>%
summarize(total_cases_entering_Q1 = sum(C_Q1),
total_cases_tested_in_first_cohort = sum(total_samples_for_PCR_Testing_Q1_1),
total_cases_with_at_least_two_cohorts = sum(Q_1_2),
total_cases_tested_in_second_cohort = sum(total_samples_for_PCR_Testing_Q1_2),
total_cases_with_at_least_three_cohorts = sum(Q_1_3),
total_cases_tested_in_3_cohort = sum(total_samples_for_PCR_Testing_Q1_3),
total_cases_tested_in_4_cohort = sum(total_samples_for_PCR_Testing_Q1_4),
total_cases_tested_in_5_cohort = sum(total_samples_for_PCR_Testing_Q1_5),
total_cases_tested_in_6_cohort = sum(total_samples_for_PCR_Testing_Q1_6),
total_cases_tested_in_7_cohort = sum(total_samples_for_PCR_Testing_Q1_7),
total_cases_tested_in_8_cohort = sum(total_samples_for_PCR_Testing_Q1_8),
total_cases_tested_in_9_cohort = sum(total_samples_for_PCR_Testing_Q1_9),
total_cases_tested_in_10_cohort = sum(total_samples_for_PCR_Testing_Q1_10),
total_cases_tested_in_11_cohort = sum(total_samples_for_PCR_Testing_Q1_11),
total_cases_tested_in_12_cohort = sum(total_samples_for_PCR_Testing_Q1_12),
total_cases_tested_in_13_cohort = sum(total_samples_for_PCR_Testing_Q1_13),
total_cases_tested_from_backlog = sum(total_samples_for_PCR_Testing_backlog_Q1),
total_cases_with_at_least_thirteen_cohorts = sum(Q_1_13),
true_positives_from_Q1 = sum(Y_sum),
false_negatives_from_Q1 = sum(neg_samples_Q1)) %>%
as.data.frame() %>%
mutate(total_cases_leaving_Q1 = true_positives_from_Q1 +
false_negatives_from_Q1,
total_cases_in_queue_after_one_cohort = total_cases_tested_in_first_cohort +
total_cases_with_at_least_two_cohorts,
total_cases_in_queue_after_two_cohorts = total_cases_tested_in_first_cohort +
total_cases_tested_in_second_cohort +total_cases_with_at_least_three_cohorts,
total_cases_in_queue_after_12_cohorts =total_cases_tested_in_first_cohort +
total_cases_tested_in_second_cohort +
total_cases_tested_in_3_cohort +
total_cases_tested_in_4_cohort +
total_cases_tested_in_5_cohort +
total_cases_tested_in_6_cohort +
total_cases_tested_in_7_cohort +
total_cases_tested_in_8_cohort +
total_cases_tested_in_9_cohort +
total_cases_tested_in_10_cohort +
total_cases_tested_in_11_cohort +
total_cases_tested_in_12_cohort +
total_cases_with_at_least_thirteen_cohorts,
total_cases_tested_in_queue_including_from_backlog =
total_cases_tested_in_first_cohort +
total_cases_tested_in_second_cohort +
total_cases_tested_in_3_cohort +
total_cases_tested_in_4_cohort +
total_cases_tested_in_5_cohort +
total_cases_tested_in_6_cohort +
total_cases_tested_in_7_cohort +
total_cases_tested_in_8_cohort +
total_cases_tested_in_9_cohort +
total_cases_tested_in_10_cohort +
total_cases_tested_in_11_cohort +
total_cases_tested_in_12_cohort +
total_cases_tested_in_13_cohort +
total_cases_tested_from_backlog) %>%
mutate(overall_queue_gap = total_cases_entering_Q1-total_cases_leaving_Q1,
gap_after_first_cohort = total_cases_entering_Q1 - total_cases_in_queue_after_one_cohort,
gap_after_second_cohort = total_cases_entering_Q1 - total_cases_in_queue_after_two_cohorts,
gap_after_12_cohorts = total_cases_entering_Q1 - total_cases_in_queue_after_12_cohorts,
gap_after_all_compartments = total_cases_entering_Q1 - total_cases_tested_in_queue_including_from_backlog)
#total_cases_entering_Q1total_cases_entering_Q1 = sim_data %>%
dplyr::select(time,.id,C_Q1, Y_sum, neg_samples_Q1, Q_1_2,
Q_1_3, Q_1_13,
total_samples_for_PCR_Testing_lag_2_Q1_1,
total_samples_for_PCR_Testing_lag_2_Q1_2,
total_samples_for_PCR_Testing_lag_2_Q1_3,
total_samples_for_PCR_Testing_lag_2_Q1_4,
total_samples_for_PCR_Testing_lag_2_Q1_5,
total_samples_for_PCR_Testing_lag_2_Q1_6,
total_samples_for_PCR_Testing_lag_2_Q1_7,
total_samples_for_PCR_Testing_lag_2_Q1_8,
total_samples_for_PCR_Testing_lag_2_Q1_9,
total_samples_for_PCR_Testing_lag_2_Q1_10,
total_samples_for_PCR_Testing_lag_2_Q1_11,
total_samples_for_PCR_Testing_lag_2_Q1_12,
total_samples_for_PCR_Testing_lag_2_Q1_13,
total_samples_for_PCR_Testing_backlog_lag_2_Q1) %>%
group_by(.id) %>%
summarize(total_cases_entering_Q1 = sum(C_Q1),
total_cases_tested_in_first_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_1),
total_cases_with_at_least_two_cohorts = sum(Q_1_2),
total_cases_tested_in_second_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_2),
total_cases_with_at_least_three_cohorts = sum(Q_1_3),
total_cases_tested_in_3_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_3),
total_cases_tested_in_4_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_4),
total_cases_tested_in_5_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_5),
total_cases_tested_in_6_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_6),
total_cases_tested_in_7_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_7),
total_cases_tested_in_8_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_8),
total_cases_tested_in_9_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_9),
total_cases_tested_in_10_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_10),
total_cases_tested_in_11_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_11),
total_cases_tested_in_12_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_12),
total_cases_tested_in_13_cohort = sum(total_samples_for_PCR_Testing_lag_2_Q1_13),
total_cases_tested_from_backlog = sum(total_samples_for_PCR_Testing_backlog_lag_2_Q1),
total_cases_with_at_least_thirteen_cohorts = sum(Q_1_13),
true_positives_from_Q1 = sum(Y_sum),
false_negatives_from_Q1 = sum(neg_samples_Q1)) %>%
as.data.frame() %>%
mutate(total_cases_leaving_Q1 = true_positives_from_Q1 +
false_negatives_from_Q1,
total_cases_in_queue_after_one_cohort = total_cases_tested_in_first_cohort +
total_cases_with_at_least_two_cohorts,
total_cases_in_queue_after_two_cohorts = total_cases_tested_in_first_cohort +
total_cases_tested_in_second_cohort +total_cases_with_at_least_three_cohorts,
total_cases_in_queue_after_12_cohorts =total_cases_tested_in_first_cohort +
total_cases_tested_in_second_cohort +
total_cases_tested_in_3_cohort +
total_cases_tested_in_4_cohort +
total_cases_tested_in_5_cohort +
total_cases_tested_in_6_cohort +
total_cases_tested_in_7_cohort +
total_cases_tested_in_8_cohort +
total_cases_tested_in_9_cohort +
total_cases_tested_in_10_cohort +
total_cases_tested_in_11_cohort +
total_cases_tested_in_12_cohort +
total_cases_with_at_least_thirteen_cohorts,
total_cases_tested_in_queue_including_from_backlog =
total_cases_tested_in_first_cohort +
total_cases_tested_in_second_cohort +
total_cases_tested_in_3_cohort +
total_cases_tested_in_4_cohort +
total_cases_tested_in_5_cohort +
total_cases_tested_in_6_cohort +
total_cases_tested_in_7_cohort +
total_cases_tested_in_8_cohort +
total_cases_tested_in_9_cohort +
total_cases_tested_in_10_cohort +
total_cases_tested_in_11_cohort +
total_cases_tested_in_12_cohort +
total_cases_tested_in_13_cohort +
total_cases_tested_from_backlog) %>%
mutate(overall_queue_gap = total_cases_entering_Q1-total_cases_leaving_Q1,
gap_after_first_cohort = total_cases_entering_Q1 - total_cases_in_queue_after_one_cohort,
gap_after_second_cohort = total_cases_entering_Q1 - total_cases_in_queue_after_two_cohorts,
gap_after_12_cohorts = total_cases_entering_Q1 - total_cases_in_queue_after_12_cohorts,
gap_after_all_compartments = total_cases_entering_Q1 - total_cases_tested_in_queue_including_from_backlog)
#total_cases_entering_Q1Check end of first sim run
sim_data_first_run_only = sim_data %>%
filter(.id == 1)
#head(sim_data_first_run_only)
sim_data_first_run_only$total_samples_for_PCR_Testing_lag_1_Q1_1[nrow(sim_data_first_run_only)]## [1] 196sim_data_first_run_only$total_samples_for_PCR_Testing_Q1_1[nrow(sim_data_first_run_only)]## [1] 196sim_data_first_run_only$total_samples_for_PCR_Testing_lag_2_Q1_1[nrow(sim_data_first_run_only)]## [1] 163sim_data_waiting_for_testing_at_end = sim_data %>%
dplyr::select(time, .id, total_samples_for_PCR_Testing_lag_1_Q1_1,
total_samples_for_PCR_Testing_lag_2_Q1_1) %>%
filter(time == max(sim_data$time)) %>%
mutate(total_waiting_for_testing = total_samples_for_PCR_Testing_lag_1_Q1_1 +
total_samples_for_PCR_Testing_lag_2_Q1_1) %>%
dplyr::select(.id, total_waiting_for_testing)
total_cases_entering_Q1_with_adj = join(total_cases_entering_Q1,
sim_data_waiting_for_testing_at_end)## Joining by: .idtotal_cases_entering_Q1_with_adj_summary_df = total_cases_entering_Q1_with_adj %>%
mutate(gap_adjusted_for_waiting = overall_queue_gap - total_waiting_for_testing) %>%
dplyr::select(.id, total_cases_entering_Q1, true_positives_from_Q1, false_negatives_from_Q1,
overall_queue_gap, total_waiting_for_testing, gap_adjusted_for_waiting)
#total_cases_entering_Q1_with_adj_summary_df
sum(total_cases_entering_Q1_with_adj_summary_df$gap_adjusted_for_waiting)## [1] -15489245Updated test
sim_data_first_run_only = sim_data %>%
filter(.id == 1)
total_postive_cases_leaving_Q1 = sum(sim_data_first_run_only$Y_Q1_1 +
sim_data_first_run_only$Y_Q1_2 +
sim_data_first_run_only$Y_Q1_3 +
sim_data_first_run_only$Y_Q1_4 +
sim_data_first_run_only$Y_Q1_5 +
sim_data_first_run_only$Y_Q1_6 +
sim_data_first_run_only$Y_Q1_7 +
sim_data_first_run_only$Y_Q1_8 +
sim_data_first_run_only$Y_Q1_9 +
sim_data_first_run_only$Y_Q1_10 +
sim_data_first_run_only$Y_Q1_11 +
sim_data_first_run_only$Y_Q1_12 +
sim_data_first_run_only$Y_Q1_13 +
sim_data_first_run_only$Y_Q1_backlog)
total_cases_entering_Q1_first_run_only = sum(sim_data_first_run_only$C_Q1)
gap = total_cases_entering_Q1_first_run_only - sum(sim_data_first_run_only$neg_samples_Q1) - total_postive_cases_leaving_Q1
gap## [1] 359waiting_to_be_tested = sim_data_first_run_only$total_samples_for_PCR_Testing_Q1_1[nrow(sim_data_first_run_only)] + sim_data_first_run_only$total_samples_for_PCR_Testing_Q1_2[nrow(sim_data_first_run_only)] +sim_data_first_run_only$total_samples_for_PCR_Testing_lag_1_Q1_1[nrow(sim_data_first_run_only)]
gap_taking_into_account_waiting = gap - waiting_to_be_tested
gap_taking_into_account_waiting## [1] -33Queue 2 Diagnostic Test
gap_check_Q2 = sim_data %>%
dplyr::select(time, .id, total_samples_for_PCR_Testing_Q2, C_Q2) %>%
group_by(.id) %>%
summarize(total_samples_entering_Q2 = sum(C_Q2),
total_samples_exiting_Q2 =
sum(total_samples_for_PCR_Testing_Q2)) %>%
as.data.frame() %>%
mutate(Q2_gap = total_samples_entering_Q2 - total_samples_exiting_Q2)
#gap_check_Q2
sum(gap_check_Q2$Q2_gap)## [1] 0Queue 3 Diagnostic Tests
Queue 4 Diagnostic Test
gap_check_Q4 = sim_data %>%
dplyr::select(time, .id, total_samples_for_PCR_Testing_Q4, C_Q4) %>%
group_by(.id) %>%
summarize(total_samples_entering_Q4 = sum(C_Q4),
total_samples_exiting_Q4 =
sum(total_samples_for_PCR_Testing_Q4)) %>%
as.data.frame() %>%
mutate(Q4_gap = total_samples_entering_Q4 - total_samples_exiting_Q4)
#gap_check_Q4
sum(gap_check_Q4$Q4_gap)## [1] 0Filter a simulation
single_sim_df= filter(sim_data, .id == 1)
pfilter_sim_data = dplyr::select(single_sim_df, time = time, Y = Y,
obs_prop_positive = obs_prop_positive)
p = ggplot(data = pfilter_sim_data,(aes(x = time, y = Y))) + geom_point() + geom_line() + rahul_theme + xlab("Days since March 1, 2020")
p
p = ggplot(data = pfilter_sim_data,(aes(x = time, y = obs_prop_positive))) + geom_point() + geom_line() + rahul_theme + xlab("Days since March 1, 2020")
p
ptm <- proc.time()
pfilter_sim_output = pfilter(data = pfilter_sim_data,
seed = 12345,
times = pfilter_sim_data$time,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
covar = covar,
format = "data.frame",
Np = 1000)## in 'pomp': the unrecognized arguments 'seed','rmeas','format' are available for use by the POMP basic components.## Warning: in 'pfilter': the 'tol' argument is deprecated and will be removed in a future release.
## Currently, the default value of 'tol' is 1e-17;
## in future releases, the value will be 0, and the option to choose otherwise will be removed.proc.time() - ptm## user system elapsed
## 2.250 0.422 3.481plot(pfilter_sim_output)
logLik(pfilter_sim_output)## [1] -619.867eff.sample.size(pfilter_sim_output)## [1] 1000.0000 1000.0000 437.5965 820.7689 827.4004 947.8433 785.5687
## [8] 663.9823 716.9607 879.4641 960.0341 966.9516 956.0111 912.0800
## [15] 989.1197 998.7532 995.5886 992.6820 981.9540 996.9651 998.6025
## [22] 999.7260 992.7662 995.4006 999.9485 997.8038 999.9453 999.1806
## [29] 999.4518 999.5422 998.3087 999.6678 999.2940 999.9853 999.8683
## [36] 999.4018 998.7423 999.8305 999.6748 999.5899 999.4478 998.1343
## [43] 998.9795 991.5447 999.4299 995.9930 995.2285 990.9304 996.6830
## [50] 999.2289 985.8421 999.7670 997.8678 999.2680 975.8320 999.9778
## [57] 996.4904 999.8459 999.9733 995.3064 999.6482 999.0032 991.0788
## [64] 993.5609 995.3523 966.6557 996.9375 999.5232 998.2845 999.8951
## [71] 995.3216 987.8974 992.1636 999.8889 988.0004 998.2433 994.0353
## [78] 990.3918 999.1607 986.1695 975.7866 937.2159 997.0731 997.7338
## [85] 985.5319 999.6060 868.6106 949.3689 880.2548cond.logLik(pfilter_sim_output)## [1] -0.0996888 -0.0996888 -1.6525276 -1.5413062 -2.9077154
## [6] -2.6894671 -3.5764261 -3.3467778 -4.6076200 -3.7236541
## [11] -3.5084972 -4.3942191 -4.8917542 -4.8047825 -5.3949240
## [16] -5.5679947 -6.7823971 -8.1548928 -7.7791621 -7.1131756
## [21] -7.4165383 -7.4634285 -8.3638606 -8.0602461 -7.9017868
## [26] -8.5278715 -8.2613888 -9.1246411 -8.1908051 -8.9172745
## [31] -9.5356062 -8.2774977 -9.2656294 -8.6144473 -8.3692603
## [36] -8.3576419 -8.8452225 -8.6766639 -8.5789651 -8.1569536
## [41] -8.2976125 -8.5221280 -7.7698943 -8.0995907 -8.4683983
## [46] -8.6961387 -8.3677253 -9.0931866 -8.0188343 -7.3963752
## [51] -9.4934212 -7.7347631 -7.6746858 -7.5502498 -10.3224536
## [56] -7.4723928 -7.8841654 -7.3624582 -7.3465601 -7.4468449
## [61] -7.2155503 -7.1757001 -7.9008443 -7.6432195 -7.1587760
## [66] -9.3105597 -7.2383230 -6.9878480 -7.0308767 -6.8293776
## [71] -6.8194773 -7.3839113 -6.8013772 -6.6383960 -7.1686768
## [76] -6.6622938 -6.5337049 -6.5526129 -6.4519857 -6.5241635
## [81] -6.7861420 -8.0752973 -6.1682354 -6.1154914 -6.2721348
## [86] -6.0291440 -8.8270536 -6.9288471 -8.0767325Pfilter real data with 1 particle
ptm <- proc.time()
pfilter_real_output= pfilter(data = Observed_data,
seed = 12345,
times = Observed_data$times,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
covar = covar,
format = "data.frame",
Np = 1)## in 'pomp': the unrecognized arguments 'seed','rmeas','format' are available for use by the POMP basic components.## Warning: in 'pfilter': the 'tol' argument is deprecated and will be removed in a future release.
## Currently, the default value of 'tol' is 1e-17;
## in future releases, the value will be 0, and the option to choose otherwise will be removed.proc.time() - ptm## user system elapsed
## 1.170 0.138 1.437#plot(pfilter_real_output)
logLik(pfilter_real_output)## [1] -653.9428eff.sample.size(pfilter_real_output)## [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## [36] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## [71] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1cond.logLik(pfilter_real_output)## [1] -0.0996888 -0.0996888 -1.9169083 -2.3543592 -3.1105242
## [6] -9.0108937 -6.3783214 -2.5401349 -4.4163017 -7.7605808
## [11] -4.0629583 -4.4686237 -7.7794616 -4.9102863 -5.6263564
## [16] -8.3225862 -6.6712702 -7.7983740 -7.1676670 -9.1610816
## [21] -9.3009469 -7.4071879 -7.5451675 -7.7535380 -7.8895862
## [26] -8.1023332 -8.9470873 -9.2157279 -8.3700496 -10.5014076
## [31] -8.4418594 -8.1879237 -8.5213762 -11.4937500 -8.3593883
## [36] -8.3879589 -8.4941052 -9.0140658 -8.7626902 -8.2316928
## [41] -8.0816538 -8.7360326 -7.9696241 -16.3781185 -8.8834306
## [46] -7.9180192 -7.8934454 -8.0503470 -9.1218979 -7.4011600
## [51] -7.9507766 -7.7186371 -9.4510757 -9.3806921 -7.6137871
## [56] -7.5235829 -7.9863155 -7.3687868 -7.4864725 -7.2615531
## [61] -7.7164430 -7.1690999 -7.8356907 -7.9201614 -7.2266780
## [66] -7.1147975 -6.9426852 -6.9002124 -7.3529440 -7.3232453
## [71] -8.1983008 -6.7775949 -6.7119747 -8.4620141 -6.6897920
## [76] -6.5067780 -7.4122896 -7.7305764 -6.4528498 -7.4528850
## [81] -6.2434884 -6.2098358 -6.4582878 -6.0413930 -5.9661695
## [86] -6.0526457 -9.3075295 -8.1698869 -6.8372507Pfilter real data with 1000 particles
ptm <- proc.time()
pfilter_real_output = pfilter(data = Observed_data,
seed = 12345,
times = Observed_data$times,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
covar = covar,
partrans = par_trans,
format = "data.frame",
Np = 1000,
save.state = TRUE,
filter.mean = TRUE,
pred.mean = TRUE,
pred.var = TRUE)## in 'pomp': the unrecognized arguments 'seed','rmeas','format' are available for use by the POMP basic components.## Warning: in 'pfilter': the 'tol' argument is deprecated and will be removed in a future release.
## Currently, the default value of 'tol' is 1e-17;
## in future releases, the value will be 0, and the option to choose otherwise will be removed.proc.time() - ptm## user system elapsed
## 3.169 0.586 3.959#plot(pfilter_real_output)
logLik(pfilter_real_output)## [1] -650.4983eff.sample.size(pfilter_real_output)## [1] 1000.00000 1000.00000 886.24077 891.69089 881.91123 25.05385
## [7] 242.03616 807.30027 850.57193 282.46662 964.85359 944.58659
## [13] 710.55771 901.53956 929.06609 841.60311 998.50225 994.49061
## [19] 992.88662 965.41757 968.93723 999.97514 999.83592 999.87428
## [25] 999.61064 998.84531 995.68605 998.78839 999.63850 998.64118
## [31] 999.36784 999.92430 999.75692 998.29047 999.44223 999.43512
## [37] 999.27022 998.78216 998.14969 999.81122 999.63414 994.35042
## [43] 997.52986 834.91915 992.50725 999.71178 999.44918 996.66615
## [49] 989.68509 999.60158 997.02506 998.85224 985.96226 980.33598
## [55] 999.51969 996.09754 990.94723 999.94561 999.17603 999.74570
## [61] 995.31060 999.46350 985.51656 982.42147 995.17447 999.17889
## [67] 999.52413 999.63809 989.52405 980.13974 966.82932 996.81434
## [73] 999.47538 950.75149 997.36100 998.66872 966.64408 961.78903
## [79] 988.51250 979.93817 999.47496 999.74287 994.48122 992.19572
## [85] 989.54898 999.43774 834.76079 877.84450 960.39473cond.logLik(pfilter_real_output)## [1] -0.0996888 -0.0996888 -1.6532773 -1.6374214 -2.4822591
## [6] -7.6811256 -5.4492431 -3.0358438 -3.7819849 -7.4941961
## [11] -3.7043772 -4.5077807 -7.5259403 -5.3960725 -5.8008634
## [16] -8.5101861 -6.6716838 -7.8030912 -7.2592193 -9.0433285
## [21] -9.1377833 -7.4074877 -7.5475762 -7.7270823 -7.8957515
## [26] -8.1088602 -8.8928063 -9.2431244 -8.3827770 -10.5360496
## [31] -8.4589847 -8.1797899 -8.5247657 -11.4590151 -8.3391295
## [36] -8.3641216 -8.5265690 -9.0425681 -8.7920113 -8.2427685
## [41] -8.1017471 -8.7169704 -7.9296541 -16.2010852 -8.7629230
## [46] -7.9245787 -7.8918839 -8.1065224 -9.0406757 -7.3975073
## [51] -7.9812114 -7.7280905 -9.1399157 -9.5320222 -7.6364869
## [56] -7.6319063 -8.0266381 -7.3721267 -7.4725922 -7.2660152
## [61] -7.7147861 -7.1694248 -7.9553283 -8.0429843 -7.1816324
## [66] -7.1146637 -6.9300950 -6.8836657 -7.1672109 -7.6134090
## [71] -8.3847899 -6.7344189 -6.7316014 -8.7080038 -6.7572208
## [76] -6.4971305 -7.5012898 -7.5668593 -6.5568965 -7.0907909
## [81] -6.2631456 -6.2225932 -6.4248404 -6.1884415 -6.1607671
## [86] -6.0677888 -9.3429706 -8.3617439 -6.8569980Pfilter real data with 1000 particles
ptm <- proc.time()
pfilter_real_output = pfilter(data = Observed_data,
seed = 12345,
times = Observed_data$times,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
covar = covar,
partrans = par_trans,
format = "data.frame",
Np = 1000,
save.state = TRUE,
filter.mean = TRUE,
pred.mean = TRUE,
pred.var = TRUE)## in 'pomp': the unrecognized arguments 'seed','rmeas','format' are available for use by the POMP basic components.## Warning: in 'pfilter': the 'tol' argument is deprecated and will be removed in a future release.
## Currently, the default value of 'tol' is 1e-17;
## in future releases, the value will be 0, and the option to choose otherwise will be removed.proc.time() - ptm## user system elapsed
## 2.806 0.711 3.721#plot(pfilter_real_output)
logLik(pfilter_real_output)## [1] -650.053eff.sample.size(pfilter_real_output)## [1] 1000.0000 1000.0000 885.1952 883.5631 871.6711 104.4362 328.1425
## [8] 836.8595 863.3962 371.6642 962.9588 938.7832 773.7286 882.0660
## [15] 931.2797 838.3819 998.4107 994.8239 992.6057 967.6757 972.0491
## [22] 999.9708 999.8424 999.8705 999.5495 998.8007 995.2671 998.6789
## [29] 999.6353 998.6485 999.3976 999.9276 999.7492 998.0256 999.5047
## [36] 999.3900 999.2787 998.8737 998.3327 999.8026 999.6225 994.8726
## [43] 997.4687 834.5330 992.8005 999.7111 999.4620 996.5114 989.8640
## [50] 999.6057 996.9033 998.8753 986.2682 978.1169 999.4919 996.1481
## [57] 991.6549 999.9507 999.2657 999.7031 995.4608 999.4507 986.0576
## [64] 982.1604 995.0132 999.2019 999.5415 999.5928 988.9810 980.0185
## [71] 967.1235 996.4840 999.4694 938.3508 997.3877 998.5874 968.8108
## [78] 959.3740 988.0333 980.3689 999.5548 999.7011 994.6055 991.3045
## [85] 990.8562 999.5727 824.6189 880.5153 956.4341cond.logLik(pfilter_real_output)## [1] -0.0996888 -0.0996888 -1.6544333 -1.6584027 -2.5055843
## [6] -7.7344272 -5.5370978 -2.9903684 -3.6001072 -7.0922819
## [11] -3.7247739 -4.5202915 -7.4585721 -5.4707954 -5.7579887
## [16] -8.5174350 -6.6789464 -7.8140946 -7.2530630 -9.0437494
## [21] -9.1212447 -7.4077797 -7.5482139 -7.7273444 -7.8963189
## [26] -8.1096214 -8.8926029 -9.2425581 -8.3823788 -10.5373065
## [31] -8.4579092 -8.1799678 -8.5236915 -11.4565732 -8.3405616
## [36] -8.3654347 -8.5261897 -9.0412322 -8.7926126 -8.2425121
## [41] -8.1020417 -8.7213861 -7.9318560 -16.2188467 -8.7618531
## [46] -7.9244849 -7.8909038 -8.1111387 -9.0505519 -7.3972268
## [51] -7.9809252 -7.7281523 -9.1332580 -9.5207084 -7.6354917
## [56] -7.6361568 -8.0256308 -7.3722727 -7.4719552 -7.2662434
## [61] -7.7213939 -7.1693385 -7.9681469 -8.0307671 -7.1799156
## [66] -7.1151792 -6.9287377 -6.8841053 -7.1734921 -7.6212578
## [71] -8.3717069 -6.7328412 -6.7322776 -8.6933803 -6.7569588
## [76] -6.4996621 -7.4981879 -7.5737579 -6.5478706 -7.0813832
## [81] -6.2612840 -6.2227000 -6.4292093 -6.1886244 -6.1619659
## [86] -6.0671904 -9.3470412 -8.3440155 -6.8656981Analysis
filter_mean_mat = pfilter_real_output@filter.mean
filter_mean_df = filter_mean_mat%>%
t() %>%
as.data.frame()
#head(filter_mean_df)
filter_mean_df$times = filter_mean_mat %>%
colnames() %>% as.numeric()
Y_sum_filter_mean = filter_mean_df %>%
dplyr::select(times, Y_sum)
pred_var_df = pfilter_real_output@pred.var %>%
t() %>%
as.data.frame()
pred_var_df$times = filter_mean_mat %>%
colnames() %>% as.numeric()
Y_sum_pred_var = pred_var_df %>%
dplyr::select(times, Y_sum_var = Y_sum)
Y_sum_filter_mean_vs_obs = join(Y_sum_filter_mean, Observed_data)## Joining by: timesY_sum_filter_mean_vs_obs = join(Y_sum_filter_mean_vs_obs, Y_sum_pred_var)## Joining by: timessize= (1/sigma_M/sigma_M)
Y_sum_filter_mean_vs_obs$Neg_binom_lik = dnbinom(Y_sum_filter_mean_vs_obs$Y, mu = Y_sum_filter_mean_vs_obs$Y_sum, size = size,
log = TRUE)
plot_data = Y_sum_filter_mean_vs_obs %>%
dplyr::select(times, Y_sum_filter_mean = Y_sum, Y) %>%
melt(id.vars = "times")
p = ggplot(data = plot_data, aes(x = times, y = log(value), color = variable)) + geom_point() +
geom_line() + rahul_theme
p
MIF to simulated data (Validation)
No truncation
mif_sim_data = pfilter_sim_data
mif_sim_file_name = paste0("../Generated_Data/MIF_local_test_results/mif_sim_test_data_", model_name, "_COVID_NYC.RData")
save(mif_sim_data,
file = mif_sim_file_name)##Plot simulated trajectory to be used for fitting
p = ggplot(data = mif_sim_data,(aes(x = time, y = Y))) + geom_point() + geom_line() + rahul_theme + xlab("Days since March 1, 2020")
p
Load parallelization libraries
library(foreach)
library(doParallel)
registerDoParallel()Run pfilter repeatedly (test paralell structure)
library(doRNG)## Loading required package: foreach## Warning: package 'foreach' was built under R version 3.5.2##
## Attaching package: 'foreach'## The following objects are masked from 'package:purrr':
##
## accumulate, when## Loading required package: rngtools## Loading required package: pkgmaker## Loading required package: registry## Warning: package 'registry' was built under R version 3.5.2##
## Attaching package: 'pkgmaker'## The following object is masked from 'package:base':
##
## isFALSEregisterDoRNG(123456)## Warning: executing %dopar% sequentially: no parallel backend registeredptm <- proc.time()
rds_index = rds_index + 1
rds_file_name = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = rds_file_name,{
foreach(i=1:10, .packages = 'pomp',
.export = c("rproc", "rmeas", "dmeas", "init", "paramnames", "statenames", "obsnames",
"param_vec", "par_trans", "acumvarnames")
) %dopar% {
pfilter(data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
format = "data.frame",
covar = covar,
Np = 1000)
}
}) ->pfilter_sim_par_output
proc.time() - ptm## user system elapsed
## 0.030 0.002 0.033(L_pfilter_sim_par_output <- logmeanexp(sapply(pfilter_sim_par_output, logLik), se = TRUE))## se
## -619.85506239 0.02518861Store results of pfilter run in likelihood csv file
results <- as.data.frame(as.list(c(coef(pfilter_sim_par_output[[1]]), logLik = L_pfilter_sim_par_output[1],
loglik = L_pfilter_sim_par_output[2])))
results
result_output_file = paste0("covid_NYC_", model_name, "_sim_data_fit_params.csv")
write.csv(results, file = result_output_file, row.names = FALSE)MIF Debug Test
One mif run, one particle
test_1_mif = mif2(
data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
seed = 12345,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
start = param_vec,
covar = covar,
Np = 1,
Nmif = 1,
tol = 0,
cooling.fraction.50 = 0.5,
rw.sd = rw.sd(phi_E = 0,
phi_U = 0,
phi_S = 0,
h_V = 0,
p_S = 0.02,
p_H_cond_S = 0.02,
gamma = 0.02,
social_distancing_start_time = 0,
quarantine_start_time = 0,
z_0 = ivp(0),
E_0 = ivp(0.02),
N_0 = ivp(0),
C_0 = ivp(0),
PCR_sens = 0,
b_q = 0.02,
b_a = 0.02,
b_p = 0,
R_0 = 0.02,
sigma_M = 0.02,
beta_w_3 = 0,
beta_w_2 = 0,
beta_w_1 = 0,
beta_w_0 = 0,
g_0 = 0,
g_F = 0,
sigma_epsilon = 0,
G_w_y_scaling = 0))rds_index = rds_index + 1
mif_50_rds_file_name = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = mif_50_rds_file_name,{
mif2(data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
seed = 12345,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
start = param_vec,
covar = covar,
Np = 2000,
Nmif = 50,
tol = 0,
cooling.fraction.50 = 0.5,
rw.sd = rw.sd(phi_E = 0,
phi_U = 0,
b_p = 0,
phi_S = 0,
h_V = 0,
p_S = 0.02,
p_H_cond_S = 0.02,
gamma = 0.02,
social_distancing_start_time = 0,
quarantine_start_time = 0,
z_0 = ivp(0),
E_0 = ivp(0.02),
N_0 = ivp(0),
C_0 = ivp(0),
PCR_sens = 0,
b_q = 0.02,
b_a = 0.02,
R_0 = 0.02,
sigma_M = 0.02,
beta_w_3 = 0,
beta_w_2 = 0,
beta_w_1 = 0,
beta_w_0 = 0,
g_0 = 0,
g_F = 0,
sigma_epsilon = 0,
G_w_y_scaling = 0)
)}) ->test_mif
test_mif@eff.sample.size## [1] 2000.0000 2000.0000 898.6966 1638.9455 1643.2102 1877.5360 1502.3207
## [8] 1291.6848 1351.0340 1683.6871 1889.8154 1853.2811 1855.6062 1829.0444
## [15] 1949.9009 1984.8748 1971.1070 1968.9730 1690.9300 1888.3396 1903.6966
## [22] 1957.2209 1688.5466 1621.0618 1955.7850 1844.7376 1978.9542 1991.3737
## [29] 1997.0881 1992.9166 1971.1269 1995.1720 1995.1586 1986.8976 1987.1457
## [36] 1989.6867 1951.1921 1945.1478 1875.3236 1877.3061 1945.6277 1894.0370
## [43] 1761.7161 1646.8336 1887.0374 1810.0409 1681.9470 1677.6050 1846.4189
## [50] 1720.8516 1320.7365 1681.6987 1888.8337 1959.7937 1144.3542 1969.1846
## [57] 1818.7113 1980.2179 1974.4519 1903.2429 1978.5222 1976.4605 1662.8912
## [64] 1798.1811 1897.2097 1286.7400 1858.5081 1944.4116 1920.2879 1967.0226
## [71] 1934.3111 1739.3778 1902.8327 1967.5223 1784.5653 1948.5414 1914.2711
## [78] 1885.0335 1952.0638 1870.8935 1762.2037 1410.1592 1976.0497 1971.2624
## [85] 1933.8991 1937.0207 699.1346 1647.5261 1150.1093Local MIF Search (Validation)
ptm = proc.time()
registerDoRNG(123456)
rds_index = rds_index + 1
parallel_mif_50_run_rds_file_name = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = parallel_mif_50_run_rds_file_name,{
foreach(i=1:5,
.packages = 'pomp',
.combine = c,
.export = c("rproc", "rmeas", "dmeas", "mif_sim_data", "init", "paramnames", "statenames", "obsnames",
"param_vec","par_trans", "acumvarnames")
) %dopar%
{
mif2(
data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
start = param_vec,
covar = covar,
Np = 2000,
Nmif = 50,
cooling.fraction.50 = 0.5,
rw.sd = rw.sd(phi_E = 0,
phi_U = 0,
b_p = 0,
phi_S = 0,
h_V = 0,
p_S = 0.02,
p_H_cond_S = 0.02,
gamma = 0.02,
social_distancing_start_time = 0,
quarantine_start_time = 0,
z_0 = ivp(0),
E_0 = ivp(0.02),
N_0 = ivp(0),
C_0 = ivp(0),
PCR_sens = 0,
b_q = 0.02,
b_a = 0.02,
R_0 = 0.02,
sigma_M = 0.02,
beta_w_3 = 0,
beta_w_2 = 0,
beta_w_1 = 0,
beta_w_0 = 0,
g_0 = 0,
g_F = 0,
sigma_epsilon = 0,
G_w_y_scaling = 0)
)
}
}) -> mifs_sim_data_local
mif_sim_local_output_file = paste0("../Generated_Data/MIF_local_test_results/", model_name, "_validation_5_mif_iterations_output.RData")
save(mifs_sim_data_local, file = mif_sim_local_output_file)
p = ggplot(data = melt(conv.rec(mifs_sim_data_local)),
aes(x = iteration, y = value, group = L1, color = factor(L1))) +
geom_line()+
guides(color=FALSE)+
facet_wrap(~variable, scales="free_y") + theme_bw()## Warning: 'conv.rec' is deprecated and will be removed in a forthcoming
## release. Please use 'traces' instead.p
mif_par_sim_fit_50_plot_file = paste0("../Figures/MIF_local_test_results/", model_name,
"_test_mif_convergence_dem_stoch_plot_5_runs_50_iterations_from_sim_data_truth.png")
png(mif_par_sim_fit_50_plot_file)
print(p)
dev.off()## quartz_off_screen
## 2param_list = list()
pfilter_end_mean_list = vector(length = length(mifs_sim_data_local))
pfilter_end_se_list = vector(length = length(mifs_sim_data_local))
for(run_index in seq(1:length(mifs_sim_data_local))){
print(run_index)
single_mif_run_output = mifs_sim_data_local[[run_index]]
param_list[[run_index]] = single_mif_run_output@params
mif_test_end_par = param_list[[run_index]]
#Get Final Pfilter Likelihood
registerDoRNG(123456)
ptm <- proc.time()
rds_index = rds_index + 1
bake(file = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds"),{
foreach(i=1:10, .packages = 'pomp',
.export = c("rproc", "rmeas", "dmeas", "mif_sim_data", "init", "paramnames", "statenames", "obsnames",
"mif_test_end_par", "par_trans", "acumvarnames")
) %dopar% {
pfilter(data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = mif_test_end_par,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
covar = covar,
partrans = par_trans,
format = "data.frame",
Np = 1000)
}
}) ->pfilter_sim_at_mif_end
proc.time() - ptm
pfilter_sim_at_mif_end <- logmeanexp(sapply(pfilter_sim_at_mif_end, logLik), se = TRUE)
pfilter_end_mean_list[run_index] = pfilter_sim_at_mif_end[[1]]
pfilter_end_se_list[run_index] = pfilter_sim_at_mif_end[[2]]
}## [1] 1
## [1] 2
## [1] 3
## [1] 4
## [1] 5#Get Pfilter Likelihood at Start
#registerDoRNG(123456)
ptm <- proc.time()
rds_index = rds_index + 1
pf_start_mif_sim_test_rds_file_name = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = pf_start_mif_sim_test_rds_file_name,{
foreach(i=1:10, .packages = 'pomp',
.export = c("rproc", "rmeas", "dmeas", "mif_sim_data", "init", "paramnames", "statenames", "obsnames",
"param_vec", "par_trans", "acumvarnames")
) %dopar% {
pfilter(data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
covar = covar,
partrans = par_trans,
format = "data.frame",
Np = 1000)
}
}) ->pfilter_sim_at_mif_start
proc.time() - ptm## user system elapsed
## 0.116 0.005 0.124L_pfilter_sim_at_mif_start <- logmeanexp(sapply(pfilter_sim_at_mif_start, logLik), se = TRUE)
L_pfilter_sim_at_mif_start## se
## -619.86722850 0.03028052true_sim_mean = L_pfilter_sim_at_mif_start[[1]]
true_sim_se = L_pfilter_sim_at_mif_start[[2]]
pfilter_5_mif_data_analysis_value_storage = list(end_mean = pfilter_end_mean_list, end_se = pfilter_end_se_list, start_mean = true_sim_mean,
start_se = true_sim_se)
pfilter_5_mif_storage_file_name = paste0("../Generated_Data/MIF_local_test_results/", model_name,
"_validation_5_mif_iterations_pfitler_likelihood_ranges.RData")
save(pfilter_5_mif_data_analysis_value_storage,
file = pfilter_5_mif_storage_file_name)
plot_data = data.frame(iterations = seq(1:length(mifs_sim_data_local)), pfilter_end_mean = pfilter_end_mean_list,
pfilter_end_se = pfilter_end_se_list)
p = ggplot(data = plot_data, aes(x = iterations, y = pfilter_end_mean)) +
geom_errorbar(aes(ymin = pfilter_end_mean - pfilter_end_se,
ymax = pfilter_end_mean + pfilter_end_se)) + geom_hline(yintercept = true_sim_mean,
color = 'red')+
geom_hline(yintercept = true_sim_mean - true_sim_se, color = 'blue') +
geom_hline(yintercept = true_sim_mean + true_sim_se, color = 'blue')
p
mif_5_run_plot_file_name = paste0("../Figures/MIF_local_test_results/", model_name,
"_validation_plot_pfilter_ranges_for_5_mif_runs_of_50_iterations_blue_and_red_lines_are_pfilter_start_ranges.png")
png(mif_5_run_plot_file_name)
print(p)
dev.off()## quartz_off_screen
## 2mifs_sim_data_local[[5]]@params## M_0 V_0
## 5.000000e+00 1.300000e+01
## K_0 phi_E
## 1.400000e+01 1.090000e+00
## phi_U phi_S
## 1.090000e+00 2.000000e-01
## h_V p_S
## 7.692308e-02 1.517197e-01
## p_H_cond_S gamma
## 2.896772e-01 2.727855e-01
## quarantine_start_time social_distancing_start_time
## 2.200000e+01 1.800000e+01
## PCR_sens b_q
## 9.000000e-01 7.556507e-02
## b_a b_p
## 1.000000e+00 0.000000e+00
## R_0 E_0
## 1.154630e+01 1.412039e+04
## z_0 N_0
## 1.520000e+04 8.000000e+06
## C_0 sigma_M
## 0.000000e+00 2.489193e-01
## beta_w_3 beta_w_2
## 1.215073e-02 9.810086e-01
## beta_w_1 beta_w_0
## -3.723481e+01 2.294094e+02
## g_0 g_F
## 1.183300e+03 1.162005e-01
## sigma_epsilon G_w_y_scaling
## 1.091121e+02 1.620000e-01proc.time() - ptm## user system elapsed
## 0.786 0.052 0.894p = ggplot(data = melt(conv.rec(test_mif)),
aes(x = iteration, y = value, group = variable, color = factor(variable))) +
geom_line()+
guides(color=FALSE)+
facet_wrap(~variable, scales="free_y") + theme_bw()## Warning: 'conv.rec' is deprecated and will be removed in a forthcoming
## release. Please use 'traces' instead.p## Warning: Removed 2 rows containing missing values (geom_path).
test_mif_local_sim_results_plot_file_name = paste0("../Figures/MIF_local_test_results/", model_name,
"_test_mif_local_run_from_sim_data_true_parameters.png")
png(test_mif_local_sim_results_plot_file_name)
print(p)## Warning: Removed 2 rows containing missing values (geom_path).dev.off()## quartz_off_screen
## 2Get Final Pfilter Likelihood
registerDoRNG(123456)
ptm <- proc.time()
rds_index = rds_index + 1
pfilter_local_mif_test_end_rds_file_name = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = pfilter_local_mif_test_end_rds_file_name,{
foreach(i=1:10, .packages = 'pomp',
.export = c("rproc", "rmeas", "dmeas", "mif_sim_data", "init", "paramnames", "statenames", "obsnames",
"mif_test_end_par", "par_trans", "acumvarnames")
) %dopar% {
pfilter(data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t =1),
params = mif_test_end_par,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
covar = covar,
tol = 0,
format = "data.frame",
Np = 1000)
}
}) ->pfilter_sim_at_mif_end
proc.time() - ptm## user system elapsed
## 0.048 0.002 0.056(L_pfilter_sim_at_mif_end <- logmeanexp(sapply(pfilter_sim_at_mif_end, logLik), se = TRUE))## se
## -621.50216222 0.02387581Plot MIF results
Really long single MIF run
One mif run, 2000 particles, 100 iterations
ptm = proc.time()
rds_index = rds_index + 1
mif_100_iteration_run_rds_file_name = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = mif_100_iteration_run_rds_file_name,{
mif2(
data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
seed = 12345,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
covar = covar,
partrans = par_trans,
tol = 0,
start = param_vec,
Np = 2000,
Nmif = 100,
cooling.fraction.50 = 0.5,
rw.sd = rw.sd(phi_E = 0,
phi_U = 0,
b_p = 0,
phi_S = 0,
h_V = 0,
p_S = 0.02,
p_H_cond_S = 0.02,
gamma = 0.02,
social_distancing_start_time = 0,
quarantine_start_time = 0,
z_0 = ivp(0),
E_0 = ivp(0.02),
N_0 = ivp(0),
C_0 = ivp(0),
PCR_sens = 0,
b_q = 0.02,
b_a = 0.02,
R_0 = 0.02,
sigma_M = 0.02,
beta_w_3 = 0,
beta_w_2 = 0,
beta_w_1 = 0,
beta_w_0 = 0,
g_0 = 0,
g_F = 0,
sigma_epsilon = 0,
G_w_y_scaling = 0)
)
}) -> long_mif_output
proc.time() - ptm## user system elapsed
## 0.016 0.002 0.029long_mif_output@eff.sample.size## [1] 2000.0000 2000.0000 873.6788 1632.9889 1699.4831 1872.1854 1535.8886
## [8] 1273.2367 1393.0701 1709.2488 1902.4866 1876.9859 1887.3468 1832.9102
## [15] 1953.5875 1990.1156 1976.1851 1979.5519 1819.6276 1948.0816 1969.6096
## [22] 1985.6969 1856.8849 1830.5027 1984.0650 1929.2043 1990.1514 1995.9555
## [29] 1997.6243 1995.6620 1984.2489 1997.1060 1996.1527 1993.6222 1993.3058
## [36] 1993.4411 1968.1376 1971.7515 1906.2634 1853.9637 1965.7189 1938.7431
## [43] 1926.9833 1647.2647 1940.0775 1886.5384 1800.7595 1779.2620 1899.8063
## [50] 1932.0205 1631.1786 1845.8441 1940.3707 1975.3675 1381.6876 1989.5799
## [57] 1904.3541 1989.9070 1989.0625 1929.7877 1989.3102 1984.6708 1789.8745
## [64] 1878.0952 1931.2403 1460.6422 1910.3065 1968.7278 1952.5751 1986.2316
## [71] 1950.0376 1813.9288 1925.8955 1985.5169 1823.7115 1964.4287 1936.1150
## [78] 1916.5175 1974.1820 1901.1660 1815.3056 1537.9055 1985.9075 1988.0793
## [85] 1939.7137 1969.5128 896.9487 1706.0815 1206.1649a = melt(conv.rec(long_mif_output))## Warning: 'conv.rec' is deprecated and will be removed in a forthcoming
## release. Please use 'traces' instead.p = ggplot(data = melt(conv.rec(long_mif_output)),
aes(x = iteration, y = value, group = variable, color = factor(variable))) +
geom_line()+
guides(color=FALSE)+
facet_wrap(~variable, scales="free_y") + theme_bw()## Warning: 'conv.rec' is deprecated and will be removed in a forthcoming
## release. Please use 'traces' instead.p## Warning: Removed 2 rows containing missing values (geom_path).
mif_100_run_plot_file_name = paste0("../Figures/MIF_local_test_results/",
model_name,
"_test_mif_convergence_dem_stoch_plot_1_run_100_iterations_from_sim_data_truth.png")
png(mif_100_run_plot_file_name)
print(p)## Warning: Removed 2 rows containing missing values (geom_path).dev.off()## quartz_off_screen
## 2#Test pfilter likelihood at end of this simulation
mif_long_test_end_par = long_mif_output@params
registerDoRNG(123456)
ptm <- proc.time()
rds_index = rds_index + 1
pfilter_mif_sim_100_iteration_end_rds_file_name = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = pfilter_mif_sim_100_iteration_end_rds_file_name,{
foreach(i=1:10, .packages = 'pomp',
.export = c("rproc", "rmeas", "dmeas", "mif_sim_data", "init", "paramnames", "statenames", "obsnames",
"mif_long_test_end_par", "par_trans", "acumvarnames")
) %dopar% {
pfilter(data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = mif_long_test_end_par,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
tol = 0,
rmeas = rmeas,
covar = covar,
partrans = par_trans,
format = "data.frame",
Np = 1000)
}
}) ->pfilter_sim_at_long_mif_end
proc.time() - ptm## user system elapsed
## 0.146 0.006 0.170(L_pfilter_sim_at_long_mif_end <- logmeanexp(sapply(pfilter_sim_at_long_mif_end, logLik), se = TRUE))## se
## -619.84317442 0.02631345L_pfilter_sim_at_long_mif_end## se
## -619.84317442 0.02631345Pfilter_LL_Mif_sim_100_runs_end_output_file_name = paste0("../Generated_Data/MIF_local_test_results/", model_name,
"_validation_pfilter_ranges_100_iteration_single_MIF_run.RData")
save(L_pfilter_sim_at_long_mif_end,
file = Pfilter_LL_Mif_sim_100_runs_end_output_file_name)
#-619.84317442 0.02631345
# This is not higher than the true sim mean of -619.86722850 (se 0.03028052 ), so did a longer run.2nd really long single MIF run
One mif run, 2000 particles, 200 iterations
ptm = proc.time()
rds_index = rds_index + 1
mif_sim_250_run_output_rds_file_name = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = mif_sim_250_run_output_rds_file_name,{
mif2(
data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
seed = 23456,
rprocess = pomp::euler(rproc,delta.t = 1),
params = param_vec,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
covar = covar,
partrans = par_trans,
start = param_vec,
Np = 2000,
tol = 0,
Nmif = 250,
cooling.fraction.50 = 0.5,
rw.sd = rw.sd(phi_E = 0,
phi_U = 0,
b_p = 0,
phi_S = 0,
h_V = 0,
p_S = 0.02,
p_H_cond_S = 0.02,
gamma = 0.02,
social_distancing_start_time = 0,
quarantine_start_time = 0,
z_0 = ivp(0),
E_0 = ivp(0.02),
N_0 = ivp(0),
C_0 = ivp(0),
PCR_sens = 0,
b_q = 0.02,
b_a = 0.02,
R_0 = 0.02,
sigma_M = 0.02,
beta_w_3 = 0,
beta_w_2 = 0,
beta_w_1 = 0,
beta_w_0 = 0,
g_0 = 0,
g_F = 0,
sigma_epsilon = 0,
G_w_y_scaling = 0)
) }) -> long_mif_output_2
proc.time() - ptm## user system elapsed
## 0.013 0.001 0.015long_mif_output_2@eff.sample.size## [1] 2000.0000 2000.0000 903.2123 1635.2764 1655.4600 1888.8846 1544.4725
## [8] 1297.6706 1362.7517 1706.3701 1915.0708 1900.8018 1922.8668 1845.3120
## [15] 1957.3275 1995.6648 1982.8951 1992.6938 1993.6238 1989.2417 1992.3121
## [22] 1997.3582 1966.1209 1972.1221 1998.4096 1986.0719 1998.5476 1997.4465
## [29] 1998.4212 1998.4189 1993.9720 1998.8439 1998.0499 1998.8909 1998.7334
## [36] 1998.1000 1993.8721 1998.6951 1998.5048 1884.1809 1990.5605 1979.7095
## [43] 1995.0808 1928.3581 1988.1546 1956.2621 1953.2256 1917.3938 1973.3453
## [50] 1987.4763 1915.3035 1988.6766 1986.1561 1995.4079 1782.9761 1998.3963
## [57] 1968.8296 1998.4233 1997.8915 1976.2572 1997.9227 1995.9366 1932.8955
## [64] 1951.3567 1978.8841 1785.2685 1974.9520 1991.4445 1983.7625 1996.6899
## [71] 1982.0332 1925.5710 1972.2814 1996.0738 1925.8115 1985.2135 1978.4838
## [78] 1967.9673 1990.4197 1954.0441 1911.5480 1749.0781 1994.3521 1996.2218
## [85] 1957.3273 1995.3516 1367.7714 1825.2516 1499.7582a = melt(conv.rec(long_mif_output_2))## Warning: 'conv.rec' is deprecated and will be removed in a forthcoming
## release. Please use 'traces' instead.p = ggplot(data = melt(conv.rec(long_mif_output_2)),
aes(x = iteration, y = value, group = variable, color = factor(variable))) +
geom_line()+
guides(color=FALSE)+
facet_wrap(~variable, scales="free_y") + theme_bw()## Warning: 'conv.rec' is deprecated and will be removed in a forthcoming
## release. Please use 'traces' instead.p## Warning: Removed 2 rows containing missing values (geom_path).
MIF_sim_250_run_output_plot_file_name = paste0("../Figures/MIF_local_test_results/",
model_name, "_test_mif_convergence_dem_stoch_plot_1_run_200_iterations_from_sim_data_truth.png")
png(MIF_sim_250_run_output_plot_file_name)
print(p)## Warning: Removed 2 rows containing missing values (geom_path).dev.off()## quartz_off_screen
## 2#Test pfilter likelihood at end of this simulation
mif_long_test_end_par_2 = long_mif_output_2@params
registerDoRNG(234567)
ptm <- proc.time()
rds_index = rds_index + 1
pfilter_long_mif_sim_250_iterations_end_output_rds_file = paste0("Stew_Files/", model_name, "_", "rds_", rds_index, ".rds")
bake(file = pfilter_long_mif_sim_250_iterations_end_output_rds_file,{
foreach(i=1:10, .packages = 'pomp',
.export = c("rproc", "rmeas", "dmeas", "mif_sim_data", "init", "paramnames", "statenames", "obsnames", "covar",
"mif_long_test_end_par_2", "par_trans", "acumvarnames")
) %dopar% {
pfilter(data = mif_sim_data,
times = mif_sim_data$time,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = mif_long_test_end_par_2,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
dmeas = dmeas,
accumvars = acumvarnames,
rinit = init,
tol = 0,
rmeas = rmeas,
covar = covar,
partrans = par_trans,
format = "data.frame",
Np = 1000)
}
}) ->pfilter_sim_at_long_mif_end_2
proc.time() - ptm## user system elapsed
## 0.169 0.005 0.195(L_pfilter_sim_at_long_mif_end_2 <- logmeanexp(sapply(pfilter_sim_at_long_mif_end_2, logLik), se = TRUE))## se
## -618.83279774 0.01847462pfilter_long_mif_sim_250_iterations_end_LL_file_name = paste0("../Generated_Data/MIF_local_test_results/", model_name, "_validation_pfilter_ranges_200_iteration_single_MIF_run.RData")
save(L_pfilter_sim_at_long_mif_end_2,
file = pfilter_long_mif_sim_250_iterations_end_LL_file_name)
#-618.83279774 0.01847462
# This is higher than true sim mean of -619.86722850 (se 0.03028052), so it seems to have worked (at least, this is enough to move on to a grid search using Midway).Analyze MIF Run 1
Combine output
Combine Midway output susbsets
Once all of the 250 array jobs submitted to Midway f have finished running on the cluster, the output from each of those 250 jobs is combined into one data frame with combinations and likelihoods for a particular profile. For ease of computation, we only include the top 100LL of parameter combinations within each array job.
Code for combining
# ---- combine_grid_search_output ----
# Header ------------------------------------------------------------------
## Name: combine_grid_search_output
## Author: Rahul Subramanian
## Description: Combine MIF real grid search output data into one big data frame
combine_grid_search_output = function(model_name){
ptm = proc.time()
#args = commandArgs(trailingOnly=TRUE)
###Load parameter list
pd = read.csv(
file = paste0(
"../Generated_Data/Profile_Combination_Lists/",
model_name,
"_Model/",
model_name,
"_param_grid.csv"
),
header = TRUE
)
mif_sim_combined_output_df = data.frame(
matrix(nrow = 0, ncol = ncol(pd) + 7)
)
colnames(mif_sim_combined_output_df) = c(colnames(pd), "LL")
colnames(mif_sim_combined_output_df) = c(colnames(pd),"msg", "iter_num", "param_index", "loglik", "nfail", "trace_num", "loglist.se")
midway_max_jobs = 500
jobs_done_so_far = 500
mif_sim_combined_output_with_traces_df = mif_sim_combined_output_df
for(param_index in seq(1:jobs_done_so_far)){
if(param_index %% 10 == 0){
print(param_index)
}
input_file_name = paste("../Generated_Data/Profiles/",
model_name,
"_Model/",
"Grid_Search_MIF_run_1/",
model_name,
"_Grid_Search_MIF_run_1_subset_",
param_index,
".RData",
sep = ""
)
if(file.exists(input_file_name) == TRUE){
load(file = input_file_name)
mif_output_df_single_subset = res
}else{
group_size = nrow(pd)/midway_max_jobs
start_index = (param_index-1)*group_size + 1
end_index = param_index*group_size
Num_mif_runs_per_start = 10
param_data_subset_act = pd[start_index:end_index,]
param_data_subset = param_data_subset_act[rep(seq_len(nrow(param_data_subset_act)), each = Num_mif_runs_per_start),]
#param_data_subset$seed = NA;
param_data_subset$msg = NA
param_data_subset$iter_num = NA
param_data_subset$param_index = NA
param_data_subset$nfail = NA
param_data_subset$trace_num = NA
param_data_subset$loglik = NA
param_data_subset$loglist.se = NA
mif_output_df_single_subset = param_data_subset
}
#head(mif_output_df_single_subset)
local_MLE = max(mif_output_df_single_subset$loglik, na.rm = TRUE)
subset_traces = mif_output_df_single_subset %>%
filter(iter_num == 3)
subset_data_no_traces =mif_output_df_single_subset %>%
filter(msg != "first_trace") %>%
filter(msg != "second_trace")
mif_sim_combined_output_with_traces_df =
rbind(mif_sim_combined_output_with_traces_df,subset_traces)
mif_sim_combined_output_df = rbind(mif_sim_combined_output_df, subset_data_no_traces)
}
output_file_name = paste0("../Generated_Data/Profiles/", model_name,"_Model/","Grid_Search_MIF_run_1/",
model_name, "_Grid_Search_MIF_run_1_combined_data_subset_including_traces_and_start.RData")
save(mif_sim_combined_output_with_traces_df, file = output_file_name)
output_file_name = paste0("../Generated_Data/Profiles/", model_name,"_Model/","Grid_Search_MIF_run_1/",
model_name, "_Grid_Search_MIF_run_1_combined_data.RData")
save(mif_sim_combined_output_df, file = output_file_name)
output_list = list(mif_sim_combined_output_df, mif_sim_combined_output_with_traces_df)
return(output_list)
}
combine_grid_search_output(model_name = model_name)## [1] 10
## [1] 20
## [1] 30
## [1] 40
## [1] 50
## [1] 60
## [1] 70
## [1] 80
## [1] 90
## [1] 100
## [1] 110
## [1] 120
## [1] 130
## [1] 140
## [1] 150
## [1] 160
## [1] 170
## [1] 180
## [1] 190
## [1] 200
## [1] 210
## [1] 220
## [1] 230
## [1] 240
## [1] 250
## [1] 260
## [1] 270
## [1] 280
## [1] 290
## [1] 300
## [1] 310
## [1] 320
## [1] 330
## [1] 340
## [1] 350
## [1] 360
## [1] 370
## [1] 380
## [1] 390
## [1] 400
## [1] 410
## [1] 420
## [1] 430
## [1] 440
## [1] 450
## [1] 460
## [1] 470
## [1] 480
## [1] 490
## [1] 500## [[1]]
## M_0 V_0 K_0 R_0 b_q b_a b_p p_S
## 1 5 13 14 5.8831206 9.321401e-01 5.123999e-01 0 1.359062e-01
## 2 5 13 14 25.6792095 4.331488e-02 4.653650e-01 0 1.497828e-01
## 3 5 13 14 4.9902414 4.907666e-01 4.625613e-01 0 3.424364e-01
## 4 5 13 14 5.0409204 1.199816e-01 7.382745e-01 0 3.773241e-01
## 5 5 13 14 2.4124685 4.416637e-01 5.396230e-01 0 8.046790e-01
## 6 5 13 14 4.6623934 1.205942e-01 6.883708e-01 0 5.929974e-01
## 7 5 13 14 5.4757987 3.480869e-01 2.144568e-01 0 5.407353e-01
## 8 5 13 14 5.5790490 1.183684e-01 5.463118e-01 0 4.603340e-01
## 9 5 13 14 3.9069038 5.941387e-01 5.213690e-01 0 4.526714e-01
## 10 5 13 14 4.4398144 1.165454e-01 9.008971e-01 0 4.846495e-01
## 11 5 13 14 3.2619706 3.441165e-01 2.206105e-01 0 2.607363e-01
## 12 5 13 14 5.9665321 1.154720e-01 6.350227e-01 0 3.274006e-01
## 13 5 13 14 7.6934096 9.574850e-01 5.521787e-01 0 6.500317e-01
## 14 5 13 14 12.7425937 4.188133e-02 8.013667e-01 0 3.913601e-01
## 15 5 13 14 6.4215880 6.274808e-01 7.237226e-01 0 2.383421e-01
## 16 5 13 14 15.3363577 8.830162e-02 9.723842e-01 0 6.726476e-02
## 17 5 13 14 6.3264697 2.388950e-01 1.648086e-01 0 1.914889e-01
## 18 5 13 14 7.1620572 1.212649e-01 4.484183e-01 0 2.924341e-01
## 19 5 13 14 3.3842704 9.508492e-01 2.520642e-01 0 6.284082e-01
## 20 5 13 14 16.2778870 8.714343e-02 8.265259e-01 0 7.353283e-02
## 21 5 13 14 4.3976307 8.305763e-01 4.837575e-02 0 5.446595e-01
## 22 5 13 14 7.1418342 1.235621e-01 1.397251e-02 0 5.145169e-01
## 23 5 13 14 4.3665525 3.463841e-01 6.758814e-02 0 4.022626e-01
## 24 5 13 14 6.5485796 1.096140e-01 5.441864e-01 0 3.522880e-01
## 25 5 13 14 5.2148786 8.813840e-01 4.844732e-01 0 4.358802e-01
## 26 5 13 14 31.6981559 8.912251e-02 3.655475e-01 0 6.898518e-02
## 27 5 13 14 4.6483794 7.328511e-01 2.833296e-01 0 9.054632e-01
## 28 5 13 14 8.1351648 1.191874e-01 2.385133e-01 0 3.477846e-01
## 29 5 13 14 2.8661387 5.565462e-01 9.483310e-01 0 2.455623e-01
## 30 5 13 14 4.8338564 1.175417e-01 9.574619e-01 0 2.454977e-01
## 31 5 13 14 4.8433773 3.316796e-01 2.210553e-01 0 6.172466e-01
## 32 5 13 14 4.8579894 1.108971e-01 1.790480e-01 0 8.055419e-01
## 33 5 13 14 6.2275541 3.481656e-01 3.074641e-01 0 7.648978e-01
## 34 5 13 14 6.7104880 1.228089e-01 4.225540e-01 0 3.493122e-01
## 35 5 13 14 3.2597936 2.523530e-01 1.597716e-02 0 5.475950e-01
## 36 5 13 14 7.5480495 1.211855e-01 1.566684e-02 0 5.023113e-01
## 37 5 13 14 2.0233978 9.855789e-01 3.188255e-01 0 6.593678e-01
## 38 5 13 14 0.7692351 9.671743e-01 4.131040e-01 0 9.859554e-01
## 39 5 13 14 6.3360925 5.176984e-01 4.452304e-01 0 5.075399e-01
## 40 5 13 14 5.9566652 1.143481e-01 6.538908e-01 0 3.534848e-01
## 41 5 13 14 6.6414626 5.644355e-01 2.790431e-01 0 3.803930e-01
## 42 5 13 14 9.4220799 1.099385e-01 1.048663e-01 0 3.722645e-01
## 43 5 13 14 2.6225066 8.325496e-01 8.795033e-01 0 6.477529e-01
## 44 5 13 14 4.5580408 1.190930e-01 9.169310e-01 0 3.872437e-01
## 45 5 13 14 7.1593317 6.002936e-01 3.127505e-01 0 9.074610e-01
## 46 5 13 14 6.2453665 1.183265e-01 3.784852e-01 0 4.482490e-01
## 47 5 13 14 7.2508109 3.203927e-02 9.785242e-01 0 8.695723e-01
## 48 5 13 14 4.6314322 1.231891e-01 9.491153e-01 0 2.658036e-01
## 49 5 13 14 5.2824735 9.879756e-02 5.918681e-01 0 5.429762e-01
## 50 5 13 14 4.1996727 1.083443e-01 5.698096e-01 0 9.675902e-01
## 51 5 13 14 2.1521173 1.797475e-01 9.040828e-01 0 7.678087e-01
## 52 5 13 14 4.3604678 1.134430e-01 9.377676e-01 0 5.761011e-01
## 53 5 13 14 2.7005953 5.083569e-01 6.525326e-01 0 3.192892e-01
## 54 5 13 14 4.8065479 1.240687e-01 8.946089e-01 0 2.462617e-01
## 55 5 13 14 7.5973214 7.286851e-01 3.412529e-01 0 3.028416e-01
## 56 5 13 14 19.3914878 9.066300e-02 6.648800e-01 0 6.496872e-02
## 57 5 13 14 3.5361175 4.846234e-01 1.824287e-01 0 9.623834e-01
## 58 5 13 14 4.7002615 1.173025e-01 3.552433e-01 0 7.340417e-01
## 59 5 13 14 6.5340239 5.498283e-01 8.502184e-01 0 6.277473e-01
## 60 5 13 14 4.6634175 1.270115e-01 9.166190e-01 0 2.500866e-01
## 61 5 13 14 4.5778086 6.885607e-01 3.752669e-01 0 6.854139e-01
## 62 5 13 14 4.3906957 1.105576e-01 3.376300e-01 0 9.209705e-01
## 63 5 13 14 7.6424980 4.245336e-01 2.040900e-01 0 5.726012e-01
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## 509 5 13 14 2.2894587 4.273890e-01 8.933618e-01 0 2.133409e-01
## 510 5 13 14 4.8314791 1.180695e-01 9.196887e-01 0 3.109430e-01
## 511 5 13 14 6.0416525 7.780928e-01 8.309695e-01 0 3.927895e-02
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## 958 5 13 14 35.6380796 9.310938e-02 3.529753e-01 0 6.709918e-02
## 959 5 13 14 4.8046334 3.975559e-01 2.681491e-01 0 3.423561e-01
## 960 5 13 14 5.6488207 1.152742e-01 6.311421e-01 0 4.296787e-01
## 961 5 13 14 3.0920759 1.907099e-01 3.557587e-01 0 8.737596e-01
## 962 5 13 14 4.8242608 1.167330e-01 5.267178e-01 0 6.354354e-01
## 963 5 13 14 6.8048030 2.020687e-01 5.347694e-01 0 4.509421e-01
## 964 5 13 14 4.6820191 9.779278e-02 3.303142e-01 0 9.719649e-01
## 965 5 13 14 4.3924512 6.670374e-01 5.095005e-02 0 7.818881e-01
## 966 5 13 14 7.1742167 1.081029e-01 2.101488e-01 0 5.058741e-01
## 967 5 13 14 6.5793713 5.346917e-01 8.527785e-01 0 3.345018e-01
## 968 5 13 14 16.8287838 8.741232e-02 8.613021e-01 0 7.265313e-02
## 969 5 13 14 5.9896595 3.061334e-01 3.161164e-01 0 4.600195e-01
## 970 5 13 14 5.2832824 1.199253e-01 7.128977e-01 0 3.530611e-01
## 971 5 13 14 3.4140009 8.027517e-01 9.260375e-01 0 6.834684e-01
## 972 5 13 14 4.9864256 1.239122e-01 8.516123e-01 0 2.883106e-01
## 973 5 13 14 6.1954185 7.309262e-01 2.147819e-01 0 1.515700e-01
## 974 5 13 14 5.3710351 1.131322e-01 3.851983e-01 0 6.330554e-01
## 975 5 13 14 4.7913699 3.489695e-01 6.421302e-01 0 5.204914e-01
## 976 5 13 14 6.0004148 1.268605e-01 6.600181e-01 0 2.179033e-01
## 977 5 13 14 2.4540685 9.320217e-01 9.452243e-02 0 1.987258e-01
## 978 5 13 14 37.3168280 6.215134e-02 3.740965e-01 0 8.365659e-02
## 979 5 13 14 2.2866343 6.638125e-01 4.913529e-01 0 4.002981e-01
## 980 5 13 14 6.0654426 1.217178e-01 5.438315e-01 0 3.284373e-01
## 981 5 13 14 7.7829396 2.862968e-01 3.351542e-01 0 8.707991e-01
## 982 5 13 14 18.6910682 5.910115e-02 1.099520e-01 0 5.352926e-01
## 983 5 13 14 4.5331590 5.517727e-01 4.573730e-02 0 5.640167e-01
## 984 5 13 14 6.2493846 1.174284e-01 4.315688e-01 0 4.038147e-01
## 985 5 13 14 2.4878554 1.492178e-02 8.866445e-01 0 5.495823e-01
## 986 5 13 14 4.2474098 1.066957e-01 7.952974e-01 0 9.240440e-01
## 987 5 13 14 3.4275426 7.853901e-01 7.055256e-01 0 1.697795e-01
## 988 5 13 14 15.0819883 3.883608e-02 9.860067e-01 0 1.865872e-01
## 989 5 13 14 6.1996633 5.243934e-01 4.648790e-01 0 3.104147e-01
## 990 5 13 14 5.0387004 1.145961e-01 7.654778e-01 0 3.899242e-01
## 991 5 13 14 7.4107273 8.427025e-01 9.934605e-01 0 8.337075e-01
## 992 5 13 14 4.0915962 1.135527e-01 9.989785e-01 0 9.041142e-01
## 993 5 13 14 5.3670649 7.939133e-01 2.136969e-01 0 6.724487e-01
## 994 5 13 14 27.3863747 3.754103e-02 2.716949e-01 0 2.600995e-01
## 995 5 13 14 6.2118779 6.936299e-01 9.425339e-01 0 2.480556e-01
## 996 5 13 14 14.2810649 8.328853e-02 9.540989e-01 0 7.009146e-02
## 997 5 13 14 7.2715460 8.600064e-01 6.819472e-01 0 3.796985e-01
## 998 5 13 14 16.5411103 9.070350e-02 8.665185e-01 0 7.211576e-02
## 999 5 13 14 4.7073110 7.715245e-01 1.799714e-01 0 3.261700e-01
## 1000 5 13 14 18.0488164 9.279986e-02 7.854814e-01 0 6.820055e-02
## 1001 5 13 14 6.3855594 5.214538e-01 9.267549e-01 0 2.703376e-01
## 1002 5 13 14 15.3088853 8.494328e-02 8.904140e-01 0 6.868528e-02
## 1003 5 13 14 7.7856857 3.433007e-01 4.241651e-01 0 9.968405e-01
## 1004 5 13 14 2.9377371 1.519046e-01 5.483275e-01 0 9.883470e-01
## 1005 5 13 14 7.5059312 7.972175e-02 6.763748e-02 0 6.755092e-01
## 1006 5 13 14 13.0907874 1.206366e-01 1.052520e-01 0 2.356488e-01
## 1007 5 13 14 6.4607964 4.717791e-01 8.295128e-01 0 2.093158e-02
## 1008 5 13 14 4.1155157 1.166148e-01 9.148754e-01 0 8.066139e-01
## 1009 5 13 14 2.4642466 5.458077e-01 3.934994e-02 0 2.043143e-01
## 1010 5 13 14 4.5779168 1.099182e-01 1.553076e-01 0 8.955216e-01
## 1011 5 13 14 6.8616956 4.006451e-01 3.186568e-01 0 7.435316e-01
## 1012 5 13 14 4.6678290 1.115242e-01 6.741901e-01 0 7.073358e-01
## 1013 5 13 14 3.1037640 4.156445e-01 2.356618e-01 0 8.127500e-01
## 1014 5 13 14 5.1387689 1.243144e-01 7.174902e-01 0 3.385459e-01
## 1015 5 13 14 5.5847942 6.217636e-01 4.698351e-01 0 5.139888e-02
## 1016 5 13 14 17.1284135 8.528078e-02 8.810322e-01 0 6.926282e-02
## 1017 5 13 14 6.6570768 5.375563e-01 4.140525e-01 0 4.889198e-01
## 1018 5 13 14 24.7204403 8.748469e-02 5.437644e-01 0 7.006929e-02
## 1019 5 13 14 7.1219234 7.407824e-01 4.034386e-01 0 4.305166e-01
## 1020 5 13 14 18.8723579 8.419024e-02 7.043752e-01 0 6.958102e-02
## 1021 5 13 14 2.2613229 5.761943e-01 5.266418e-01 0 7.297585e-01
## 1022 5 13 14 4.8010259 9.170909e-02 2.512623e-01 0 9.954868e-01
## 1023 5 13 14 7.3159275 9.570502e-01 3.130083e-01 0 3.237165e-01
## 1024 5 13 14 43.2265739 4.180839e-02 7.951863e-02 0 2.082866e-01
## 1025 5 13 14 5.8803955 8.177163e-01 6.013596e-01 0 8.647454e-01
## 1026 5 13 14 3.7298081 1.197003e-01 5.955569e-01 0 9.792720e-01
## 1027 5 13 14 2.9782333 3.593235e-01 5.825642e-01 0 1.757255e-02
## 1028 5 13 14 22.7273027 9.709273e-02 5.501573e-01 0 6.571380e-02
## 1029 5 13 14 4.6984959 7.153597e-01 4.923117e-01 0 2.805501e-01
## 1030 5 13 14 20.7551670 9.586514e-02 6.786353e-01 0 6.540052e-02
## 1031 5 13 14 4.0292948 8.288568e-02 8.123932e-01 0 3.826890e-01
## 1032 5 13 14 4.8072377 1.147660e-01 8.307834e-01 0 5.003253e-01
## 1033 5 13 14 4.6716391 9.484319e-01 1.797805e-01 0 4.029960e-01
## 1034 5 13 14 23.5794483 9.538821e-02 5.519431e-01 0 6.650535e-02
## 1035 5 13 14 7.7290370 7.306239e-01 9.808872e-02 0 7.846114e-01
## 1036 5 13 14 128.6456973 1.010366e-01 3.847323e-02 0 6.426128e-02
## 1037 5 13 14 2.2701918 4.061957e-01 5.509194e-01 0 8.642157e-01
## 1038 5 13 14 4.6538438 1.125662e-01 5.115264e-01 0 7.430689e-01
## 1039 5 13 14 5.0712044 2.017449e-01 8.782463e-01 0 2.869680e-02
## 1040 5 13 14 4.8712865 1.096811e-01 9.004694e-01 0 4.856680e-01
## 1041 5 13 14 4.5681305 9.614409e-01 7.379292e-01 0 9.007625e-01
## 1042 5 13 14 44.4596228 4.812258e-02 1.989038e-01 0 1.166689e-01
## 1043 5 13 14 2.0231471 7.306478e-02 4.150649e-01 0 7.263992e-01
## 1044 5 13 14 4.5362643 1.194607e-01 9.414127e-01 0 3.313584e-01
## 1045 5 13 14 3.9332196 7.856116e-01 4.014814e-01 0 3.639369e-02
## 1046 5 13 14 24.3675980 7.764055e-02 6.527146e-01 0 7.337398e-02
## 1047 5 13 14 6.5826111 8.777180e-01 5.497950e-01 0 9.025067e-01
## 1048 5 13 14 5.0548163 1.105009e-01 8.017319e-01 0 4.687750e-01
## 1049 5 13 14 3.7841768 4.007024e-01 9.285855e-01 0 6.735048e-03
## 1050 5 13 14 4.8120131 1.228132e-01 9.904911e-01 0 1.763511e-01
## 1051 5 13 14 3.9962559 8.448752e-01 5.274842e-01 0 9.151327e-01
## 1052 5 13 14 4.5552018 1.125533e-01 6.926785e-01 0 7.192537e-01
## 1053 5 13 14 2.8873911 6.643707e-01 9.244014e-01 0 3.518866e-01
## 1054 5 13 14 4.5670742 1.154579e-01 9.729971e-01 0 4.015838e-01
## 1055 5 13 14 4.1253079 9.507813e-01 3.510487e-01 0 9.419936e-01
## 1056 5 13 14 31.7260124 9.080409e-02 4.026392e-01 0 6.753266e-02
## 1057 5 13 14 5.7932458 4.485687e-01 9.061833e-01 0 4.732657e-01
## 1058 5 13 14 14.8555878 3.822071e-02 9.018380e-01 0 2.545286e-01
## 1059 5 13 14 2.8018744 1.144874e-01 4.319356e-01 0 1.891766e-02
## 1060 5 13 14 5.2207978 1.171646e-01 6.806217e-01 0 4.097911e-01
## 1061 5 13 14 4.7269144 6.797845e-01 9.478998e-01 0 8.087959e-01
## 1062 5 13 14 5.6286325 1.167531e-01 6.428708e-01 0 3.715683e-01
## 1063 5 13 14 5.3482408 3.195703e-01 8.551888e-01 0 3.606794e-02
## 1064 5 13 14 7.1975047 1.138694e-01 3.536489e-01 0 3.782075e-01
## 1065 5 13 14 5.5527451 1.760877e-01 6.080389e-01 0 5.350866e-01
## 1066 5 13 14 5.1920510 1.156958e-01 7.387762e-01 0 4.060606e-01
## 1067 5 13 14 6.1973206 6.869821e-02 7.232248e-02 0 5.930922e-01
## 1068 5 13 14 7.4470204 1.150018e-01 8.027806e-02 0 4.982641e-01
## 1069 5 13 14 5.6048727 9.594632e-01 8.408652e-01 0 1.670430e-01
## 1070 5 13 14 7.7634795 9.860822e-01 8.227018e-01 0 2.834213e-01
## 1071 5 13 14 6.9100584 9.057850e-02 2.599679e-01 0 7.817245e-01
## 1072 5 13 14 4.9489299 1.038659e-01 4.344097e-01 0 7.972922e-01
## 1073 5 13 14 2.4053296 3.691761e-01 3.247939e-02 0 3.178607e-01
## 1074 5 13 14 7.1082546 1.209679e-01 1.035769e-02 0 5.198296e-01
## 1075 5 13 14 3.8312314 9.336296e-01 4.112154e-01 0 8.492710e-01
## 1076 5 13 14 5.1762985 9.096603e-02 4.125327e-01 0 9.735539e-01
## 1077 5 13 14 7.9479772 8.259742e-01 1.010375e-01 0 2.917296e-01
## 1078 5 13 14 52.3768720 9.657145e-02 1.855650e-01 0 6.452507e-02
## 1079 5 13 14 5.7053514 5.279031e-01 4.848163e-01 0 5.307854e-01
## 1080 5 13 14 4.2849614 1.115394e-01 5.806261e-01 0 8.643460e-01
## 1081 5 13 14 2.0369056 1.816904e-01 6.165805e-01 0 7.209327e-01
## 1082 5 13 14 4.7722978 1.224586e-01 8.197062e-01 0 3.473021e-01
## 1083 5 13 14 4.8367431 4.410274e-01 6.078053e-02 0 2.389462e-02
## 1084 5 13 14 6.2953913 1.120653e-01 3.877553e-01 0 4.625658e-01
## 1085 5 13 14 5.5789727 8.178346e-01 2.824649e-01 0 4.994016e-01
## 1086 5 13 14 23.5896540 8.573560e-02 6.313441e-01 0 7.360742e-02
## 1087 5 13 14 3.4245331 2.897205e-01 8.419800e-01 0 9.424564e-01
## 1088 5 13 14 4.5615533 1.152622e-01 8.992721e-01 0 4.860887e-01
## 1089 5 13 14 7.8073103 5.280937e-01 8.563769e-02 0 1.034180e-01
## 1090 5 13 14 12.5966819 1.216596e-01 1.825426e-01 0 1.993233e-01
## 1091 5 13 14 3.5277629 5.606632e-01 7.093054e-01 0 8.976074e-01
## 1092 5 13 14 5.4972980 1.166672e-01 6.385173e-01 0 4.063758e-01
## 1093 5 13 14 3.0167644 7.389810e-01 6.569607e-01 0 1.216850e-01
## 1094 5 13 14 5.8057523 1.116604e-01 6.220416e-01 0 4.483090e-01
## 1095 5 13 14 2.7373798 6.900688e-01 6.211990e-01 0 9.953311e-01
## 1096 5 13 14 3.1656677 1.404529e-01 6.902785e-01 0 9.906576e-01
## 1097 5 13 14 6.1323549 6.334586e-01 3.425130e-01 0 2.467093e-01
## 1098 5 13 14 21.5420393 9.281072e-02 6.481051e-01 0 6.702981e-02
## 1099 5 13 14 3.7892495 7.998847e-01 9.932043e-01 0 3.264102e-01
## 1100 5 13 14 10.1187899 6.353310e-02 9.899864e-01 0 1.189096e-01
## 1101 5 13 14 5.5901393 3.153392e-01 2.471465e-01 0 7.201653e-01
## 1102 5 13 14 5.3078527 1.184817e-01 5.183313e-01 0 5.210826e-01
## 1103 5 13 14 7.1644368 1.042243e-01 2.011143e-01 0 6.756802e-01
## 1104 5 13 14 4.6099764 1.077377e-01 3.777458e-01 0 8.587187e-01
## 1105 5 13 14 4.0309792 7.280056e-01 9.168536e-01 0 8.803614e-01
## 1106 5 13 14 4.4760986 1.023438e-01 7.531156e-01 0 9.797842e-01
## 1107 5 13 14 4.8924768 4.787607e-01 2.688791e-01 0 4.873479e-01
## 1108 5 13 14 4.6118707 1.083648e-01 1.677257e-01 0 8.602182e-01
## 1109 5 13 14 3.1808152 6.793509e-02 5.204860e-01 0 6.144732e-01
## 1110 5 13 14 13.9655495 2.984884e-02 8.022400e-01 0 9.847385e-01
## 1111 5 13 14 6.9704404 9.906114e-01 7.535175e-01 0 7.806547e-01
## 1112 5 13 14 31.6791727 9.333491e-02 3.859903e-01 0 6.529982e-02
## 1113 5 13 14 5.7222119 2.325254e-01 4.868683e-01 0 5.927292e-01
## 1114 5 13 14 6.2190823 1.148766e-01 5.965890e-01 0 3.444374e-01
## 1115 5 13 14 7.3402806 8.460987e-01 2.336235e-01 0 7.093092e-02
## 1116 5 13 14 19.7463675 4.184576e-02 6.094166e-01 0 1.864209e-01
## 1117 5 13 14 7.5698504 4.675642e-01 8.381737e-01 0 9.306196e-01
## 1118 5 13 14 5.3195661 1.140547e-01 5.758176e-01 0 5.566998e-01
## 1119 5 13 14 3.2045240 9.489420e-01 5.140919e-01 0 1.208092e-01
## 1120 5 13 14 6.1147361 1.191407e-01 6.056905e-01 0 3.071277e-01
## 1121 5 13 14 5.0060580 2.632995e-01 4.294589e-01 0 2.765181e-01
## 1122 5 13 14 5.8853833 1.152147e-01 7.361427e-01 0 2.829497e-01
## 1123 5 13 14 6.4340511 2.412980e-01 5.596353e-01 0 8.750818e-01
## 1124 5 13 14 4.3163944 1.020266e-01 7.932004e-01 0 9.759250e-01
## 1125 5 13 14 4.6786751 2.986531e-01 8.655870e-01 0 7.108032e-01
## 1126 5 13 14 4.5878027 1.154086e-01 9.759758e-01 0 3.466812e-01
## 1127 5 13 14 3.9442949 7.664423e-01 3.541625e-01 0 9.519517e-02
## 1128 5 13 14 20.3741494 9.047113e-02 7.458027e-01 0 6.940031e-02
## 1129 5 13 14 6.6451933 2.371718e-01 5.285929e-01 0 8.026104e-01
## 1130 5 13 14 5.4167323 1.205738e-01 4.334680e-01 0 5.454147e-01
## 1131 5 13 14 2.8621443 9.172038e-01 2.794913e-01 0 9.639971e-01
## 1132 5 13 14 6.9446410 1.258991e-01 4.972699e-01 0 2.456878e-01
## 1133 5 13 14 6.5822754 2.625556e-02 8.536695e-01 0 8.907839e-01
## 1134 5 13 14 13.1269000 7.309169e-02 7.745071e-01 0 9.569279e-01
## 1135 5 13 14 4.7430320 7.375265e-01 7.639727e-01 0 4.999383e-01
## 1136 5 13 14 4.9700862 1.178651e-01 8.888918e-01 0 3.016608e-01
## 1137 5 13 14 4.9933128 4.529701e-01 6.710357e-01 0 7.610418e-02
## 1138 5 13 14 4.7790882 9.649076e-02 8.918046e-01 0 9.504410e-01
## 1139 5 13 14 4.9206670 4.067051e-02 7.699329e-01 0 7.794703e-01
## 1140 5 13 14 4.4647582 1.025536e-01 9.774829e-01 0 7.008727e-01
## 1141 5 13 14 4.7102034 6.674684e-01 2.498110e-01 0 7.467519e-01
## 1142 5 13 14 7.3885694 1.170910e-01 4.910729e-01 0 2.668367e-01
## 1143 5 13 14 7.3926082 5.877910e-01 9.596330e-01 0 2.112932e-01
## 1144 5 13 14 13.6722636 6.984737e-02 9.987927e-01 0 7.659733e-02
## 1145 5 13 14 7.6718173 6.675377e-02 3.995963e-01 0 5.403473e-03
## 1146 5 13 14 19.6133462 8.495803e-02 7.615950e-01 0 7.346558e-02
## 1147 5 13 14 5.3504257 1.977176e-01 6.161947e-01 0 7.174392e-01
## 1148 5 13 14 4.4291554 1.071092e-01 5.004571e-01 0 9.580200e-01
## 1149 5 13 14 4.4217585 8.338080e-01 4.321616e-01 0 8.563051e-01
## 1150 5 13 14 28.0389810 7.881034e-02 5.477666e-01 0 7.428307e-02
## 1151 5 13 14 3.1777310 2.285519e-02 5.267793e-01 0 6.649198e-01
## 1152 5 13 14 5.8810178 1.250344e-01 6.883065e-01 0 2.307604e-01
## 1153 5 13 14 6.2976922 8.592798e-02 6.508330e-01 0 1.548518e-01
## 1154 5 13 14 4.2292905 1.068189e-01 7.886055e-01 0 8.871090e-01
## 1155 5 13 14 6.0235154 1.153642e-01 3.396802e-01 0 8.369138e-01
## 1156 5 13 14 4.8589581 1.146109e-01 5.094471e-01 0 6.807013e-01
## 1157 5 13 14 5.4670997 8.423553e-01 8.983344e-02 0 9.711638e-01
## 1158 5 13 14 12.4254734 7.311039e-02 2.640356e-01 0 9.922771e-01
## 1159 5 13 14 7.3805072 7.810291e-01 7.918180e-01 0 5.575804e-01
## 1160 5 13 14 15.4966187 8.072987e-02 9.485236e-01 0 6.804942e-02
## 1161 5 13 14 3.9571777 3.584041e-01 9.575447e-01 0 3.784961e-01
## 1162 5 13 14 4.0083109 1.129479e-01 9.491022e-01 0 9.601107e-01
## 1163 5 13 14 3.2341257 5.344682e-01 7.844068e-01 0 2.386799e-01
## 1164 5 13 14 4.4373603 1.207511e-01 9.251397e-01 0 3.796624e-01
## 1165 5 13 14 3.0753645 3.086820e-01 8.359309e-01 0 1.730162e-01
## 1166 5 13 14 5.7545811 1.263681e-01 7.452220e-01 0 1.841921e-01
## 1167 5 13 14 5.2631367 2.914524e-01 3.177974e-01 0 4.951727e-01
## 1168 5 13 14 6.1092985 1.158975e-01 6.381812e-01 0 2.746229e-01
## 1169 5 13 14 6.5659180 8.407094e-02 1.766847e-01 0 1.080960e-01
## 1170 5 13 14 5.2684267 1.132474e-01 3.826250e-01 0 6.321722e-01
## 1171 5 13 14 6.8377820 3.907391e-01 6.428317e-01 0 9.040545e-01
## 1172 5 13 14 13.2552807 6.192561e-02 8.615852e-01 0 9.589754e-01
## 1173 5 13 14 6.5443648 8.575454e-01 9.175082e-01 0 8.049077e-01
## 1174 5 13 14 4.6946481 1.141416e-01 9.602190e-01 0 3.261165e-01
## 1175 5 13 14 3.5673981 1.682172e-01 8.533646e-01 0 9.340907e-01
## 1176 5 13 14 4.6968326 1.190801e-01 9.292747e-01 0 3.398878e-01
## 1177 5 13 14 4.8394210 9.974793e-01 4.519942e-01 0 1.561678e-01
## 1178 5 13 14 14.9854833 9.992040e-01 2.321779e-01 0 2.651441e-01
## 1179 5 13 14 3.3001770 5.637826e-01 9.254585e-01 0 3.849521e-01
## 1180 5 13 14 6.0314746 1.196715e-01 4.016249e-01 0 4.420352e-01
## 1181 5 13 14 6.4972309 6.089554e-01 3.692324e-01 0 2.152068e-01
## 1182 5 13 14 16.0752246 9.112633e-02 8.087001e-01 0 6.682275e-02
## 1183 5 13 14 7.5880778 9.381560e-01 5.043018e-01 0 2.288871e-01
## 1184 5 13 14 15.6637338 9.144131e-02 8.919300e-01 0 6.762865e-02
## 1185 5 13 14 5.3518153 2.245009e-01 6.087850e-01 0 5.202191e-01
## 1186 5 13 14 4.3600934 1.195924e-01 9.285880e-01 0 4.964997e-01
## 1187 5 13 14 5.6608225 5.426796e-01 9.041776e-02 0 7.315273e-01
## 1188 5 13 14 60.6271368 8.357225e-02 2.268917e-01 0 7.405726e-02
## 1189 5 13 14 7.3340491 9.239676e-01 8.731749e-01 0 9.260767e-01
## 1190 5 13 14 12.4433455 1.049197e-01 9.912118e-01 0 6.492236e-02
## 1191 5 13 14 3.7524286 6.806830e-01 1.002019e-01 0 1.630634e-01
## 1192 5 13 14 5.2097492 1.180716e-01 5.980009e-01 0 4.962093e-01
## 1193 5 13 14 5.7863753 3.223567e-01 5.157218e-01 0 7.233553e-01
## 1194 5 13 14 4.1705983 1.136302e-01 3.494328e-01 0 9.682817e-01
## 1195 5 13 14 4.3539026 5.668832e-01 3.866095e-01 0 4.636216e-01
## 1196 5 13 14 4.6126287 1.153691e-01 9.315458e-01 0 4.400047e-01
## 1197 5 13 14 6.1260576 9.647258e-01 8.933763e-02 0 1.985211e-01
## 1198 5 13 14 48.8268486 8.292329e-02 2.566186e-01 0 7.216117e-02
## 1199 5 13 14 2.5770696 9.416626e-01 4.857362e-01 0 9.514069e-01
## 1200 5 13 14 12.1272670 5.553139e-02 3.250985e-01 0 9.430169e-01
## 1201 5 13 14 2.4626629 1.537534e-02 2.513529e-01 0 9.815377e-01
## 1202 5 13 14 8.4281398 4.747062e-02 3.049033e-02 0 9.850910e-01
## 1203 5 13 14 5.2638554 7.401552e-01 8.200041e-01 0 6.345817e-01
## 1204 5 13 14 17.1540626 8.366335e-02 9.148808e-01 0 7.225088e-02
## 1205 5 13 14 5.6887355 8.668730e-01 9.353989e-01 0 7.441656e-01
## 1206 5 13 14 15.0999363 8.701998e-02 9.448146e-01 0 6.902461e-02
## 1207 5 13 14 3.8089595 3.182767e-01 3.604480e-02 0 1.152744e-01
## 1208 5 13 14 5.9745397 1.131391e-01 6.027761e-01 0 3.514593e-01
## 1209 5 13 14 2.6004497 6.005468e-01 2.213852e-01 0 2.663383e-01
## 1210 5 13 14 6.5920852 1.210364e-01 6.288732e-01 0 2.290103e-01
## 1211 5 13 14 2.4522426 4.168408e-01 8.756823e-01 0 3.267075e-01
## 1212 5 13 14 4.3588119 1.180078e-01 9.472430e-01 0 4.335979e-01
## 1213 5 13 14 7.1047339 8.148458e-01 6.660813e-01 0 4.924641e-01
## 1214 5 13 14 20.8649908 8.277420e-02 7.596124e-01 0 7.410707e-02
## 1215 5 13 14 7.6111203 2.687739e-03 7.704776e-01 0 4.396749e-01
## 1216 5 13 14 5.0414355 1.171910e-01 9.087988e-01 0 2.482201e-01
## 1217 5 13 14 7.6701104 4.718496e-01 5.313276e-01 0 4.832056e-01
## 1218 5 13 14 4.9737794 9.016625e-02 6.140857e-01 0 9.774879e-01
## 1219 5 13 14 4.2136395 1.785814e-01 8.473090e-01 0 6.068996e-02
## 1220 5 13 14 5.4125482 1.113700e-01 6.634379e-01 0 4.546154e-01
## 1221 5 13 14 2.3998922 5.222406e-02 3.554142e-01 0 2.839793e-01
## 1222 5 13 14 7.2173928 1.160893e-01 3.144220e-01 0 4.059886e-01
## 1223 5 13 14 4.3303198 5.068511e-01 2.592518e-01 0 2.901153e-01
## 1224 5 13 14 5.3197781 1.251091e-01 8.010517e-01 0 2.092408e-01
## 1225 5 13 14 7.0161954 9.874142e-01 5.283587e-01 0 9.302633e-01
## 1226 5 13 14 7.9329915 9.953278e-01 5.926198e-01 0 9.483304e-01
## 1227 5 13 14 5.3185314 7.401044e-01 7.931470e-01 0 8.304546e-01
## 1228 5 13 14 4.4681456 1.206023e-01 8.819803e-01 0 4.554675e-01
## 1229 5 13 14 5.5219889 8.143959e-01 5.215361e-01 0 1.796342e-01
## 1230 5 13 14 16.1313865 4.757591e-02 9.545524e-01 0 1.130752e-01
## 1231 5 13 14 6.7096747 2.884011e-01 4.323097e-01 0 1.450257e-01
## 1232 5 13 14 5.2290864 1.118591e-01 8.261316e-01 0 3.929877e-01
## 1233 5 13 14 3.0562952 5.676951e-01 6.803469e-02 0 5.477753e-02
## 1234 5 13 14 7.0239691 1.059733e-01 1.485356e-02 0 6.079857e-01
## 1235 5 13 14 4.0437123 9.325489e-01 6.082418e-01 0 2.433859e-01
## 1236 5 13 14 21.1361035 1.078831e-01 5.922312e-01 0 6.451178e-02
## 1237 5 13 14 7.3287454 5.217332e-02 2.712348e-01 0 3.089132e-01
## 1238 5 13 14 4.1811171 1.101976e-01 8.678385e-02 0 9.879106e-01
## 1239 5 13 14 2.0607436 7.005082e-01 6.908589e-01 0 5.942177e-01
## 1240 5 13 14 4.5792132 1.147983e-01 8.923981e-01 0 5.181916e-01
## 1241 5 13 14 3.0926499 6.510903e-01 9.120978e-01 0 2.444362e-01
## 1242 5 13 14 4.9451385 1.189053e-01 9.579203e-01 0 2.076413e-01
## 1243 5 13 14 7.7026939 9.019781e-01 5.898688e-01 0 8.771978e-01
## 1244 5 13 14 4.7433899 9.406396e-02 4.013021e-01 0 9.915464e-01
## 1245 5 13 14 2.2517495 9.682345e-01 4.504012e-01 0 3.649515e-01
## 1246 5 13 14 7.7978061 9.945550e-01 8.279467e-01 0 3.449909e-01
## 1247 5 13 14 6.7126905 3.274647e-01 8.861011e-01 0 3.451193e-01
## 1248 5 13 14 4.7710309 1.192755e-01 7.856515e-01 0 4.330461e-01
## 1249 5 13 14 5.4620652 7.801204e-01 3.519169e-01 0 4.507920e-01
## 1250 5 13 14 27.2508911 8.683677e-02 4.362078e-01 0 6.858922e-02
## 1251 5 13 14 2.7873640 8.984183e-01 4.326771e-01 0 4.325257e-01
## 1252 5 13 14 6.2187544 1.217671e-01 5.643807e-01 0 2.784756e-01
## 1253 5 13 14 7.3607243 3.618268e-01 5.220354e-01 0 8.484175e-01
## 1254 5 13 14 4.8771295 1.198596e-01 8.949671e-01 0 3.064147e-01
## 1255 5 13 14 3.6368009 3.875714e-01 4.412717e-01 0 2.925727e-01
## 1256 5 13 14 4.5168194 1.196762e-01 7.887830e-01 0 5.353947e-01
## 1257 5 13 14 4.0078865 7.514073e-02 8.419446e-02 0 9.232738e-01
## 1258 5 13 14 6.0790935 1.145818e-01 9.122656e-03 0 6.437983e-01
## 1259 5 13 14 5.9613353 8.552871e-01 9.448119e-01 0 1.666415e-01
## 1260 5 13 14 17.9150681 9.905960e-02 7.351973e-01 0 6.484315e-02
## 1261 5 13 14 7.8713149 7.587234e-01 8.188331e-01 0 2.374184e-02
## 1262 5 13 14 19.2536993 8.076337e-02 8.392131e-01 0 7.348757e-02
## 1263 5 13 14 4.8411439 2.180256e-02 9.855846e-02 0 4.194863e-02
## 1264 5 13 14 9.0025305 1.171932e-01 2.201802e-02 0 4.325520e-01
## 1265 5 13 14 5.0864770 4.053868e-02 6.209669e-01 0 9.860492e-01
## 1266 5 13 14 3.9954075 1.185228e-01 9.141137e-01 0 7.389812e-01
## 1267 5 13 14 2.9248461 1.924089e-01 9.017996e-01 0 5.545641e-02
## 1268 5 13 14 4.7457558 1.104355e-01 9.701414e-01 0 3.261649e-01
## 1269 5 13 14 3.2864095 1.900073e-01 3.216294e-01 0 9.672368e-01
## 1270 5 13 14 4.3677102 1.156874e-01 4.361331e-01 0 8.195159e-01
## 1271 5 13 14 6.8803425 5.925223e-01 8.690484e-01 0 3.548611e-01
## 1272 5 13 14 13.1601525 5.499210e-02 9.085913e-01 0 1.201968e-01
## 1273 5 13 14 6.5190106 2.766397e-01 9.258161e-01 0 1.455119e-01
## 1274 5 13 14 4.7707941 1.162596e-01 9.184018e-01 0 3.169957e-01
## 1275 5 13 14 5.4912774 4.964510e-02 6.018701e-01 0 2.643318e-03
## 1276 5 13 14 16.9963782 8.547029e-02 8.280256e-01 0 6.901509e-02
## 1277 5 13 14 3.4402559 5.463437e-01 1.953536e-01 0 7.266677e-01
## 1278 5 13 14 5.1000028 1.268037e-01 7.310541e-01 0 2.860310e-01
## 1279 5 13 14 3.2994990 1.191202e-01 7.683828e-01 0 5.996325e-01
## 1280 5 13 14 4.9656942 1.234124e-01 7.930068e-01 0 3.682336e-01
## 1281 5 13 14 4.8880042 9.971697e-01 2.859589e-01 0 4.835372e-01
## 1282 5 13 14 6.2049136 9.866271e-01 9.622716e-01 0 2.191984e-01
## 1283 5 13 14 2.9864602 6.929406e-01 7.496457e-01 0 5.576739e-01
## 1284 5 13 14 5.1004045 8.560734e-02 9.302233e-01 0 9.950590e-01
## 1285 5 13 14 4.4956656 9.787099e-01 2.252620e-01 0 7.771874e-01
## 1286 5 13 14 12.0991067 9.870913e-01 2.986270e-01 0 2.192283e-01
## 1287 5 13 14 6.5920179 3.110780e-01 5.242885e-01 0 7.825354e-01
## 1288 5 13 14 5.1208656 1.181039e-01 3.253194e-01 0 6.572259e-01
## 1289 5 13 14 5.7323237 9.618633e-01 3.992848e-01 0 6.200032e-02
## 1290 5 13 14 16.0352359 6.100536e-02 9.680904e-01 0 8.397638e-02
## 1291 5 13 14 2.3687386 5.423351e-02 5.614513e-01 0 4.192896e-01
## 1292 5 13 14 4.7088964 9.556655e-02 5.880336e-01 0 9.750527e-01
## 1293 5 13 14 4.8649193 5.040889e-01 1.519386e-01 0 5.989593e-01
## 1294 5 13 14 5.2257518 1.222844e-01 7.350999e-01 0 3.373516e-01
## 1295 5 13 14 5.7650564 6.600470e-01 4.733417e-01 0 6.312034e-01
## 1296 5 13 14 19.5271646 4.426942e-02 6.139068e-01 0 1.670513e-01
## 1297 5 13 14 6.5139207 4.063532e-01 6.589481e-01 0 2.954609e-01
## 1298 5 13 14 5.1452163 1.233561e-01 8.463014e-01 0 2.485331e-01
## 1299 5 13 14 4.5439795 3.689092e-01 7.088180e-01 0 3.648997e-01
## 1300 5 13 14 4.5702331 1.202949e-01 7.157545e-01 0 5.893808e-01
## 1301 5 13 14 4.4468591 8.449193e-01 8.498133e-01 0 1.797613e-01
## 1302 5 13 14 13.7806318 9.937560e-02 9.418703e-01 0 6.511028e-02
## 1303 5 13 14 3.1439186 9.950815e-01 2.991340e-01 0 2.871363e-01
## 1304 5 13 14 0.7822244 9.888637e-01 6.344054e-01 0 9.880166e-01
## 1305 5 13 14 4.8860954 5.899861e-01 6.785485e-01 0 6.978457e-01
## 1306 5 13 14 5.5094464 1.145315e-01 7.536511e-01 0 3.176394e-01
## 1307 5 13 14 5.7905924 8.762333e-01 8.209869e-01 0 1.759724e-01
## 1308 5 13 14 11.4452979 8.246307e-02 4.454784e-01 0 2.634495e-01
## 1309 5 13 14 5.1585250 5.126590e-02 8.629119e-01 0 9.288373e-01
## 1310 5 13 14 4.4765865 1.139008e-01 8.079206e-01 0 7.052196e-01
## 1311 5 13 14 6.8087221 5.027370e-01 9.917488e-01 0 5.065119e-01
## 1312 5 13 14 4.4360225 1.149307e-01 9.909548e-01 0 4.071562e-01
## 1313 5 13 14 5.8604420 4.845960e-01 6.736907e-01 0 2.758962e-01
## 1314 5 13 14 4.4246372 1.091144e-01 4.413699e-01 0 9.106256e-01
## 1315 5 13 14 5.2298096 4.829153e-01 9.957385e-01 0 8.518531e-01
## 1316 5 13 14 4.1313672 1.136803e-01 9.925076e-01 0 8.724523e-01
## 1317 5 13 14 2.6624225 7.827033e-01 4.394573e-01 0 9.165564e-01
## 1318 5 13 14 5.1224338 1.114195e-01 1.018378e-01 0 7.846723e-01
## 1319 5 13 14 7.8135559 1.313809e-01 4.201394e-01 0 6.816474e-01
## 1320 5 13 14 7.0814117 1.210577e-01 4.620503e-01 0 3.035477e-01
## 1321 5 13 14 4.3320730 7.678015e-01 9.881425e-01 0 6.171018e-01
## 1322 5 13 14 5.6668545 7.925630e-02 9.609784e-01 0 9.880561e-01
## 1323 5 13 14 5.4790670 2.375418e-01 5.930637e-01 0 8.450063e-01
## 1324 5 13 14 4.3348609 1.191327e-01 9.383399e-01 0 4.146145e-01
## 1325 5 13 14 7.9165831 4.587795e-01 9.835802e-01 0 2.153108e-01
## 1326 5 13 14 14.8429770 9.283975e-02 9.149172e-01 0 6.724783e-02
## 1327 5 13 14 7.9923396 3.722353e-01 7.358705e-01 0 4.718206e-01
## 1328 5 13 14 4.5678301 1.218773e-01 9.198197e-01 0 3.054830e-01
## 1329 5 13 14 4.2721269 8.384148e-01 5.643271e-03 0 1.325156e-01
## 1330 5 13 14 11.6458945 1.180693e-01 1.729533e-03 0 3.400869e-01
## 1331 5 13 14 7.5221567 8.496771e-01 1.691408e-01 0 1.306273e-01
## 1332 5 13 14 23.1758302 8.593141e-02 5.704712e-01 0 6.834557e-02
## 1333 5 13 14 2.2122972 9.716192e-01 1.192246e-01 0 1.946533e-01
## 1334 5 13 14 27.1471765 7.818659e-02 4.554335e-01 0 7.286305e-02
## 1335 5 13 14 6.8282924 6.186142e-01 1.177916e-02 0 6.346612e-01
## 1336 5 13 14 12.7142098 1.180379e-01 2.863875e-02 0 2.970066e-01
## 1337 5 13 14 2.0172477 1.648621e-01 1.740515e-01 0 7.465948e-01
## 1338 5 13 14 4.8947448 1.143618e-01 3.210263e-01 0 7.181251e-01
## 1339 5 13 14 2.7372503 1.703297e-01 3.263661e-01 0 3.210158e-01
## 1340 5 13 14 4.2621402 1.089631e-01 5.319426e-01 0 8.948855e-01
## 1341 5 13 14 5.1673800 9.770263e-01 5.078403e-01 0 8.593549e-03
## 1342 5 13 14 12.8698106 2.492926e-01 8.670523e-01 0 1.108986e-01
## 1343 5 13 14 5.0019208 9.064787e-02 6.681233e-01 0 9.977407e-01
## 1344 5 13 14 3.1990412 1.376759e-01 9.187369e-01 0 9.901412e-01
## 1345 5 13 14 7.6792966 3.207059e-01 6.188484e-01 0 3.735534e-01
## 1346 5 13 14 6.1514557 1.198381e-01 5.997011e-01 0 2.684696e-01
## 1347 5 13 14 3.3622634 4.658736e-01 7.329101e-01 0 2.395857e-01
## 1348 5 13 14 4.8345493 1.146864e-01 9.267265e-01 0 3.134697e-01
## 1349 5 13 14 2.1833060 7.420974e-01 1.760929e-01 0 7.509708e-01
## 1350 5 13 14 7.8956078 1.160148e-01 3.291343e-01 0 3.218144e-01
## 1351 5 13 14 2.4137921 1.937353e-01 6.543282e-01 0 1.039045e-01
## 1352 5 13 14 4.3806438 1.166970e-01 7.462344e-01 0 6.935645e-01
## 1353 5 13 14 7.5605440 3.015901e-01 2.170265e-01 0 1.511991e-01
## 1354 5 13 14 5.0888163 1.223484e-01 7.509953e-01 0 3.278007e-01
## 1355 5 13 14 3.3618103 1.225189e-01 1.720067e-01 0 5.226470e-01
## 1356 5 13 14 6.3391877 1.138868e-01 3.250329e-01 0 4.942997e-01
## 1357 5 13 14 3.1176994 2.851700e-01 5.864394e-01 0 7.802700e-01
## 1358 5 13 14 4.9183026 1.213949e-01 8.798476e-01 0 2.681389e-01
## 1359 5 13 14 4.3334904 1.309074e-01 5.319308e-01 0 2.379628e-01
## 1360 5 13 14 5.3374765 1.249472e-01 8.545292e-01 0 1.966826e-01
## 1361 5 13 14 3.5019849 7.029977e-01 6.846196e-01 0 8.354072e-01
## 1362 5 13 14 4.7727423 1.207307e-01 8.936064e-01 0 3.338639e-01
## 1363 5 13 14 6.2107211 7.973363e-01 5.837022e-01 0 5.383955e-01
## 1364 5 13 14 15.8746899 7.200161e-02 9.525658e-01 0 7.471320e-02
## 1365 5 13 14 4.6968465 9.701770e-01 3.035157e-01 0 9.575117e-01
## 1366 5 13 14 1.8080072 2.636828e-01 2.482769e-01 0 9.864367e-01
## 1367 5 13 14 2.2157698 3.608606e-01 1.872702e-01 0 6.811166e-01
## 1368 5 13 14 6.4616372 1.213879e-01 6.241242e-01 0 2.323252e-01
## 1369 5 13 14 5.8877103 6.563065e-02 7.798356e-01 0 3.504851e-01
## 1370 5 13 14 4.1981756 1.063567e-01 8.673011e-01 0 9.390718e-01
## 1371 5 13 14 6.0964930 4.942641e-01 2.594654e-01 0 9.471474e-02
## 1372 5 13 14 15.7100528 4.473271e-02 9.026331e-01 0 1.452766e-01
## 1373 5 13 14 4.6620180 7.369347e-01 4.721495e-01 0 8.735115e-01
## 1374 5 13 14 4.3226701 1.092222e-01 1.778938e-01 0 9.843206e-01
## 1375 5 13 14 6.7820876 1.494968e-01 1.112084e-01 0 8.511228e-01
## 1376 5 13 14 47.5904157 1.023968e-01 2.243287e-01 0 6.544501e-02
## 1377 5 13 14 6.3593719 2.837657e-01 3.245401e-01 0 3.937531e-01
## 1378 5 13 14 5.6972590 1.216709e-01 7.222467e-01 0 2.479371e-01
## 1379 5 13 14 6.2928942 3.681339e-01 7.607640e-01 0 4.537574e-01
## 1380 5 13 14 5.3042373 1.163361e-01 7.099054e-01 0 3.772337e-01
## 1381 5 13 14 4.6292243 2.399383e-01 5.165011e-01 0 3.050544e-01
## 1382 5 13 14 5.7819224 1.256840e-01 6.469541e-01 0 2.502585e-01
## 1383 5 13 14 4.7257741 6.850100e-01 5.913375e-01 0 1.190228e-02
## 1384 5 13 14 15.3378260 1.004050e-01 7.829530e-01 0 6.390702e-02
## 1385 5 13 14 3.9825404 9.072429e-01 5.507044e-01 0 5.452647e-01
## 1386 5 13 14 4.9127385 1.257983e-01 8.805733e-01 0 2.278858e-01
## 1387 5 13 14 2.2054861 4.256218e-01 6.174734e-01 0 1.123393e-01
## 1388 5 13 14 6.5158211 1.214126e-01 4.983099e-01 0 3.209012e-01
## 1389 5 13 14 6.3471976 8.473404e-01 2.682801e-01 0 3.073026e-01
## 1390 5 13 14 14.7755920 5.203473e-02 7.452545e-01 0 1.379485e-01
## 1391 5 13 14 4.1964069 2.075541e-01 9.186162e-02 0 4.365870e-01
## 1392 5 13 14 5.1418301 1.102515e-01 8.723145e-01 0 3.318258e-01
## 1393 5 13 14 2.5159287 8.948432e-02 4.735059e-02 0 5.866944e-01
## 1394 5 13 14 4.4691099 1.186085e-01 2.528555e-02 0 8.643931e-01
## 1395 5 13 14 3.1396238 3.854630e-01 7.739008e-01 0 5.842050e-01
## 1396 5 13 14 4.5045406 1.042173e-01 7.055313e-01 0 8.856372e-01
## 1397 5 13 14 2.7984531 2.683831e-01 4.147409e-01 0 7.894966e-01
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## 1502 5 13 14 5.5455131 9.955571e-01 9.851423e-01 0 1.871077e-01
## 1503 5 13 14 7.9082362 2.325976e-01 2.775597e-02 0 5.504406e-01
## 1504 5 13 14 10.7234834 1.147251e-01 1.544480e-01 0 2.952781e-01
## 1505 5 13 14 3.7932530 5.699423e-01 5.829300e-01 0 1.099418e-01
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## 1507 5 13 14 4.4809462 5.440179e-01 2.730561e-01 0 4.556097e-01
## 1508 5 13 14 5.7576564 1.213825e-01 4.054853e-02 0 6.487350e-01
## 1509 5 13 14 5.3783136 3.085966e-01 5.250483e-02 0 3.279905e-01
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## 1512 5 13 14 5.0824237 1.156741e-01 7.456659e-01 0 4.219755e-01
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## 1535 5 13 14 6.7764413 2.927769e-01 7.043003e-01 0 7.570973e-01
## 1536 5 13 14 4.4166248 1.185795e-01 8.424261e-01 0 6.079321e-01
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## 1538 5 13 14 19.3478482 1.154013e-01 1.813977e-04 0 2.220703e-01
## 1539 5 13 14 2.5598502 6.064794e-01 1.502982e-01 0 8.820777e-01
## 1540 5 13 14 7.2331895 1.121084e-01 1.805282e-01 0 4.749801e-01
## 1541 5 13 14 5.9921223 1.044821e-01 1.686116e-01 0 6.024018e-01
## 1542 5 13 14 4.3305116 1.105895e-01 6.523826e-01 0 8.386702e-01
## 1543 5 13 14 6.2185347 4.905521e-01 6.654871e-01 0 2.738094e-01
## 1544 5 13 14 6.0549417 1.196737e-01 5.646289e-01 0 3.589407e-01
## 1545 5 13 14 7.9182653 5.376965e-01 7.187834e-01 0 1.052128e-01
## 1546 5 13 14 17.1124371 6.433554e-02 4.990333e-01 0 1.303029e-01
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## 1548 5 13 14 4.6726439 1.143328e-01 9.067323e-01 0 4.892764e-01
## 1549 5 13 14 4.8078651 7.778565e-01 8.890835e-01 0 1.512185e-01
## 1550 5 13 14 21.4453868 6.387509e-02 7.441568e-01 0 7.905051e-02
## 1551 5 13 14 4.3711473 4.619890e-01 8.771757e-01 0 9.131209e-01
## 1552 5 13 14 6.1405606 1.095833e-01 6.521302e-01 0 3.470860e-01
## 1553 5 13 14 6.3934731 8.266883e-01 5.506508e-01 0 4.735406e-02
## 1554 5 13 14 22.3159477 7.605813e-02 5.595267e-01 0 7.200008e-02
## 1555 5 13 14 2.2471067 2.001563e-01 2.885034e-01 0 5.772532e-01
## 1556 5 13 14 7.2262828 1.192446e-01 5.369196e-01 0 2.271194e-01
## 1557 5 13 14 2.4542315 2.158610e-01 7.706930e-01 0 5.780985e-01
## 1558 5 13 14 4.5814251 1.234590e-01 9.303817e-01 0 2.840366e-01
## 1559 5 13 14 2.1540822 7.909888e-01 5.746308e-01 0 7.755356e-01
## 1560 5 13 14 5.6511438 1.132701e-01 7.261540e-01 0 3.201541e-01
## 1561 5 13 14 5.2371616 2.951194e-01 7.034104e-01 0 2.015077e-01
## 1562 5 13 14 5.4586055 1.156086e-01 6.343838e-01 0 4.342847e-01
## 1563 5 13 14 7.8452058 2.854335e-02 3.055575e-01 0 7.954508e-01
## 1564 5 13 14 7.4689913 1.190646e-01 4.546288e-01 0 2.770577e-01
## 1565 5 13 14 7.8181426 9.880358e-01 1.780131e-01 0 7.635303e-01
## 1566 5 13 14 52.0054603 8.765107e-02 2.086216e-01 0 6.810875e-02
## 1567 5 13 14 4.4985285 4.045091e-01 1.609413e-01 0 1.855058e-01
## 1568 5 13 14 7.8265688 1.153209e-01 2.808852e-01 0 3.757417e-01
## 1569 5 13 14 3.0792895 4.279613e-01 2.004274e-01 0 7.355408e-01
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## 1571 5 13 14 6.9243155 7.511702e-01 7.438023e-01 0 2.538248e-01
## 1572 5 13 14 23.7508788 9.298341e-02 5.569136e-01 0 6.687459e-02
## 1573 5 13 14 7.0517372 2.751442e-01 6.475469e-01 0 2.894708e-01
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## 1580 5 13 14 4.8861144 1.211709e-01 7.794446e-01 0 3.631639e-01
## 1581 5 13 14 7.9567974 5.098106e-01 4.814582e-01 0 8.459198e-02
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## 1585 5 13 14 4.3070419 2.282575e-01 7.644847e-01 0 3.887329e-01
## 1586 5 13 14 4.7593513 1.196420e-01 7.194979e-01 0 5.058575e-01
## 1587 5 13 14 3.4820736 3.266614e-01 8.748802e-01 0 2.502027e-01
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## 1589 5 13 14 4.8811802 7.967621e-01 2.989736e-01 0 9.559453e-01
## 1590 5 13 14 19.0211183 9.178290e-01 2.845185e-01 0 9.765207e-01
## 1591 5 13 14 5.4141901 6.974551e-01 3.025677e-01 0 8.548494e-01
## 1592 5 13 14 12.7265124 7.978045e-02 9.165932e-01 0 8.074056e-01
## 1593 5 13 14 4.3954479 8.084951e-01 9.585089e-01 0 4.054843e-01
## 1594 5 13 14 17.3842694 8.501485e-02 9.238284e-01 0 6.836958e-02
## 1595 5 13 14 2.8871768 8.508655e-01 8.160364e-01 0 3.168727e-01
## 1596 5 13 14 13.6479243 8.669615e-02 8.342220e-01 0 6.731599e-02
## 1597 5 13 14 7.6199792 1.155119e-01 9.181133e-02 0 9.846151e-01
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## 1599 5 13 14 7.0530389 8.348796e-01 5.827897e-01 0 4.496433e-01
## 1600 5 13 14 18.3573097 8.174616e-02 9.408742e-01 0 7.110703e-02
## 1601 5 13 14 4.4261809 7.304370e-01 1.034498e-01 0 3.963057e-01
## 1602 5 13 14 11.8339582 1.183379e-01 6.749919e-03 0 3.435760e-01
## 1603 5 13 14 3.0982234 8.831177e-02 3.314253e-01 0 6.883838e-01
## 1604 5 13 14 6.1838413 1.180540e-01 6.580220e-01 0 2.543675e-01
## 1605 5 13 14 3.8179133 4.477210e-01 6.541799e-01 0 4.428304e-01
## 1606 5 13 14 4.8793737 1.152846e-01 9.010661e-01 0 3.377370e-01
## 1607 5 13 14 7.5391082 5.009381e-01 5.639491e-01 0 1.637147e-01
## 1608 5 13 14 19.3647120 8.543443e-02 7.768953e-01 0 7.086557e-02
## 1609 5 13 14 3.7322948 8.744077e-01 1.482935e-02 0 3.474563e-01
## 1610 5 13 14 54.6541543 6.396461e-02 1.530002e-01 0 8.461667e-02
## 1611 5 13 14 5.2548959 1.573063e-01 4.316950e-01 0 4.691082e-01
## 1612 5 13 14 5.7029221 1.143160e-01 7.127548e-01 0 3.460584e-01
## 1613 5 13 14 4.2730311 4.349736e-01 1.550226e-01 0 8.754407e-01
## 1614 5 13 14 5.4594516 1.114133e-01 6.704588e-01 0 4.382441e-01
## 1615 5 13 14 5.1938852 9.474258e-01 9.327781e-01 0 8.552080e-01
## 1616 5 13 14 3.8683090 6.900991e-01 9.506196e-01 0 8.647314e-01
## 1617 5 13 14 7.7249514 9.456386e-01 3.516064e-02 0 8.209518e-01
## 1618 5 13 14 40.9017448 6.673182e-02 1.933951e-01 0 9.017222e-02
## 1619 5 13 14 3.5789859 1.280848e-01 6.605002e-01 0 8.837646e-01
## 1620 5 13 14 4.7935142 1.125033e-01 7.703295e-01 0 5.334508e-01
## 1621 5 13 14 6.4371747 6.027233e-01 1.888189e-01 0 2.527458e-01
## 1622 5 13 14 5.3654343 1.176236e-01 6.387358e-01 0 4.093191e-01
## 1623 5 13 14 2.5263895 5.847798e-01 3.212889e-01 0 3.389647e-01
## 1624 5 13 14 4.4568585 1.150898e-01 6.269691e-01 0 7.628747e-01
## 1625 5 13 14 3.3330282 3.091145e-01 7.763860e-01 0 2.730795e-01
## 1626 5 13 14 4.3708086 1.075083e-01 8.613507e-01 0 9.038278e-01
## 1627 5 13 14 5.9360127 3.718641e-01 8.858946e-01 0 3.226638e-01
## 1628 5 13 14 4.6923649 1.164420e-01 9.715324e-01 0 3.017779e-01
## 1629 5 13 14 3.6313943 7.146762e-01 3.761631e-01 0 1.601382e-02
## 1630 5 13 14 19.9709012 5.843166e-02 6.248823e-01 0 9.342156e-02
## 1631 5 13 14 3.1079256 7.822306e-01 4.792742e-01 0 6.977091e-01
## 1632 5 13 14 6.7706324 1.113423e-01 2.406917e-01 0 5.246175e-01
## 1633 5 13 14 5.8339239 6.195179e-01 8.319078e-01 0 3.610269e-01
## 1634 5 13 14 5.4513298 1.142557e-01 7.641954e-01 0 3.416704e-01
## 1635 5 13 14 6.2872373 9.506092e-01 9.768527e-01 0 1.927740e-01
## 1636 5 13 14 14.0869228 9.313687e-02 9.522343e-01 0 6.715226e-02
## 1637 5 13 14 6.9175648 9.399735e-01 2.057570e-01 0 6.505569e-01
## 1638 5 13 14 13.6570121 9.444245e-01 2.850363e-01 0 2.222669e-01
## 1639 5 13 14 4.1864278 8.965577e-01 7.854275e-01 0 9.869045e-01
## 1640 5 13 14 14.3175597 5.060959e-02 9.311252e-01 0 9.469258e-01
## 1641 5 13 14 6.6972445 4.317335e-01 8.289728e-01 0 3.629819e-02
## 1642 5 13 14 4.4091205 1.222321e-01 9.410197e-01 0 3.419477e-01
## 1643 5 13 14 5.4114530 6.524589e-01 2.481807e-01 0 5.607271e-01
## 1644 5 13 14 7.5739857 1.189450e-01 3.876116e-01 0 3.095874e-01
## 1645 5 13 14 2.8277296 2.561970e-01 7.025212e-01 0 4.655734e-01
## 1646 5 13 14 4.8905948 1.133571e-01 8.897037e-01 0 3.622740e-01
## 1647 5 13 14 7.8500325 9.164766e-01 8.325915e-01 0 3.814297e-01
## 1648 5 13 14 23.2577059 9.596902e-02 5.619171e-01 0 6.447528e-02
## 1649 5 13 14 4.4293737 8.946283e-01 6.952789e-01 0 8.185688e-01
## 1650 5 13 14 4.3032167 1.061004e-01 3.731227e-01 0 9.752992e-01
## 1651 5 13 14 5.3498998 1.129950e-01 3.344966e-01 0 2.023484e-01
## 1652 5 13 14 4.9328405 1.169693e-01 8.413020e-01 0 3.402619e-01
## 1653 5 13 14 4.0480955 3.047956e-01 1.012599e-01 0 8.852414e-01
## 1654 5 13 14 6.4494316 1.211055e-01 1.583221e-01 0 5.170239e-01
## 1655 5 13 14 2.2614951 3.406534e-01 6.782143e-02 0 9.332275e-01
## 1656 5 13 14 3.0642841 1.514966e-01 1.524016e-01 0 9.871817e-01
## 1657 5 13 14 2.7578794 5.733915e-01 1.423123e-02 0 1.909762e-01
## 1658 5 13 14 5.0786970 1.199197e-01 3.509762e-02 0 7.507663e-01
## 1659 5 13 14 2.1726262 5.129097e-01 7.539600e-01 0 3.463366e-01
## 1660 5 13 14 6.3924086 1.165631e-01 6.531620e-01 0 2.570918e-01
## 1661 5 13 14 4.2803074 7.516728e-01 2.868260e-01 0 3.372293e-01
## 1662 5 13 14 4.5570815 1.222250e-01 8.953704e-01 0 3.557597e-01
## 1663 5 13 14 3.6804393 4.168088e-01 7.692699e-01 0 8.103699e-02
## 1664 5 13 14 4.7780212 1.193338e-01 7.960361e-01 0 4.402217e-01
## 1665 5 13 14 7.4654934 2.515560e-01 4.036592e-01 0 5.007474e-01
## 1666 5 13 14 5.5088978 1.203474e-01 7.592825e-01 0 2.646963e-01
## 1667 5 13 14 6.9142195 5.154158e-01 6.400156e-01 0 5.834286e-01
## 1668 5 13 14 19.1432285 9.698087e-02 6.893301e-01 0 6.535695e-02
## 1669 5 13 14 7.9148340 6.051446e-01 3.428958e-02 0 3.509547e-01
## 1670 5 13 14 15.6225967 1.191713e-01 1.170159e-02 0 2.565927e-01
## 1671 5 13 14 4.6709352 5.908236e-01 3.434294e-02 0 1.959027e-01
## 1672 5 13 14 7.6912531 1.198312e-01 3.773308e-01 0 2.996212e-01
## 1673 5 13 14 4.0383981 6.855886e-01 9.826903e-01 0 9.723432e-01
## 1674 5 13 14 4.4555914 1.207257e-01 9.859710e-01 0 3.065242e-01
## 1675 5 13 14 6.3177066 4.463417e-01 1.916172e-01 0 2.716344e-01
## 1676 5 13 14 4.3242847 1.154195e-01 8.219010e-01 0 6.710457e-01
## 1677 5 13 14 7.4124502 4.260632e-01 3.428532e-01 0 5.303230e-01
## 1678 5 13 14 5.6208689 1.250706e-01 7.271387e-01 0 2.236771e-01
## 1679 5 13 14 2.9713021 8.101882e-01 7.012640e-02 0 2.249580e-01
## 1680 5 13 14 41.3720050 7.664930e-02 3.247799e-01 0 7.516572e-02
## 1681 5 13 14 2.3076228 9.405739e-01 5.127138e-01 0 7.227131e-03
## 1682 5 13 14 15.8962776 6.785543e-02 5.161339e-01 0 1.282605e-01
## 1683 5 13 14 4.5992542 8.109606e-02 6.410912e-01 0 5.028282e-01
## 1684 5 13 14 3.8734974 1.211297e-01 5.425814e-01 0 9.084734e-01
## 1685 5 13 14 7.0808480 9.669376e-01 9.710125e-01 0 4.220126e-01
## 1686 5 13 14 10.1387148 4.031435e-01 9.600511e-01 0 1.493650e-01
## 1687 5 13 14 7.7685735 1.744340e-02 5.196905e-01 0 7.976439e-02
## 1688 5 13 14 4.8198958 1.163846e-01 7.624699e-01 0 4.661228e-01
## 1689 5 13 14 6.1207368 2.974220e-01 5.383129e-01 0 5.130570e-01
## 1690 5 13 14 4.2267593 1.130865e-01 9.398722e-01 0 6.977857e-01
## 1691 5 13 14 6.1390264 4.745196e-01 7.220428e-01 0 5.314364e-02
## 1692 5 13 14 4.1289353 1.134207e-01 9.853110e-01 0 7.468593e-01
## 1693 5 13 14 4.4919877 5.694597e-01 3.767241e-01 0 4.973879e-01
## 1694 5 13 14 5.2215802 1.178332e-01 8.320075e-01 0 3.091042e-01
## 1695 5 13 14 5.7570396 5.969650e-01 9.852326e-01 0 2.239311e-01
## 1696 5 13 14 13.1719202 9.291678e-02 9.837797e-01 0 6.717010e-02
## 1697 5 13 14 6.2445786 9.483453e-01 1.710029e-01 0 5.573859e-01
## 1698 5 13 14 31.8072093 8.974174e-02 3.851523e-01 0 6.832633e-02
## 1699 5 13 14 5.8612440 4.239816e-01 5.324110e-01 0 7.067213e-01
## 1700 5 13 14 4.8078499 1.121747e-01 6.570105e-01 0 6.242406e-01
## 1701 5 13 14 5.5744743 7.798079e-01 5.195251e-01 0 9.706579e-01
## 1702 5 13 14 3.7593663 1.228632e-01 3.833718e-01 0 9.589882e-01
## 1703 5 13 14 7.2375324 9.419551e-01 5.988083e-01 0 2.680304e-01
## 1704 5 13 14 20.9731405 8.736951e-02 6.617596e-01 0 7.147264e-02
## 1705 5 13 14 3.7885774 1.189381e-01 2.749354e-01 0 1.989278e-03
## 1706 5 13 14 19.2872891 9.987480e-02 6.300081e-01 0 6.374111e-02
## 1707 5 13 14 5.4751161 8.238832e-01 8.586399e-01 0 6.818005e-01
## 1708 5 13 14 20.3024572 1.608375e-01 8.176680e-01 0 1.125415e-01
## 1709 5 13 14 6.3311100 9.838911e-01 1.461674e-01 0 4.596068e-01
## 1710 5 13 14 23.0249838 9.985129e-01 2.425713e-02 0 2.343556e-01
## 1711 5 13 14 4.1495722 7.321557e-01 3.316099e-01 0 3.631957e-01
## 1712 5 13 14 4.9870157 1.144218e-01 5.718715e-01 0 6.388681e-01
## 1713 5 13 14 2.4435602 3.912390e-01 1.096123e-01 0 6.299333e-01
## 1714 5 13 14 5.9358134 1.090181e-01 4.607634e-01 0 5.369246e-01
## 1715 5 13 14 7.4246622 4.714631e-01 8.950935e-01 0 5.483042e-01
## 1716 5 13 14 5.0059144 1.178565e-01 8.754568e-01 0 3.258548e-01
## 1717 5 13 14 3.0205947 9.412843e-01 1.967373e-01 0 5.817354e-01
## 1718 5 13 14 34.4033917 7.984204e-02 4.685870e-01 0 7.602483e-02
## 1719 5 13 14 3.7949323 3.843203e-01 7.170866e-01 0 2.086993e-01
## 1720 5 13 14 4.2569327 1.144679e-01 9.600889e-01 0 5.312105e-01
## 1721 5 13 14 3.5230260 1.252628e-01 4.255871e-01 0 1.614123e-01
## 1722 5 13 14 4.7418532 1.163840e-01 7.930163e-01 0 4.452478e-01
## 1723 5 13 14 4.4135823 7.986984e-01 1.338520e-01 0 2.924090e-01
## 1724 5 13 14 6.5778812 1.098892e-01 6.050383e-01 0 3.222456e-01
## 1725 5 13 14 5.8821731 1.935063e-01 2.008804e-01 0 4.488005e-01
## 1726 5 13 14 4.6050804 1.155630e-01 3.533791e-01 0 8.070492e-01
## 1727 5 13 14 2.4631402 9.582138e-01 7.287693e-01 0 9.272657e-01
## 1728 5 13 14 5.3257155 1.157223e-01 8.681940e-01 0 2.882313e-01
## 1729 5 13 14 4.3584752 8.946506e-02 7.579128e-01 0 5.268822e-01
## 1730 5 13 14 4.7350107 1.219333e-01 9.475347e-01 0 2.085040e-01
## 1731 5 13 14 6.9373474 6.039343e-01 8.642841e-01 0 1.216577e-01
## 1732 5 13 14 20.0784937 4.221571e-02 5.568274e-01 0 2.278816e-01
## 1733 5 13 14 2.9547741 4.803933e-01 8.273956e-03 0 1.886324e-01
## 1734 5 13 14 13.0944462 1.098081e-01 2.768675e-02 0 3.202722e-01
## 1735 5 13 14 3.5079643 1.550843e-01 2.566729e-01 0 9.483732e-01
## 1736 5 13 14 4.4831944 1.188310e-01 8.475176e-01 0 5.085328e-01
## 1737 5 13 14 3.0778529 7.667569e-03 5.036594e-01 0 8.312721e-01
## 1738 5 13 14 9.5545255 6.116713e-02 8.496923e-01 0 3.238391e-01
## 1739 5 13 14 4.3570542 8.128052e-01 6.979660e-01 0 1.654621e-01
## 1740 5 13 14 17.9229286 7.838682e-02 8.756908e-01 0 7.206017e-02
## 1741 5 13 14 2.8399489 6.544693e-01 4.059512e-01 0 7.627153e-01
## 1742 5 13 14 5.0855358 1.178915e-01 7.272156e-01 0 4.349682e-01
## 1743 5 13 14 4.6486359 4.857676e-01 2.259625e-01 0 1.695903e-01
## 1744 5 13 14 6.8849198 1.213965e-01 5.281385e-01 0 2.586133e-01
## 1745 5 13 14 7.7531709 9.119337e-01 5.120553e-01 0 4.491870e-01
## 1746 5 13 14 19.2791924 6.595042e-02 7.471664e-01 0 7.874577e-02
## 1747 5 13 14 3.0998664 1.087960e-01 2.318706e-02 0 2.525924e-01
## 1748 5 13 14 5.0907676 1.076427e-01 2.291178e-02 0 8.249809e-01
## 1749 5 13 14 5.6274685 1.639682e-01 7.565339e-01 0 6.871398e-02
## 1750 5 13 14 4.3333906 1.153990e-01 8.308078e-01 0 7.428641e-01
## 1751 5 13 14 6.9591871 1.322923e-02 2.915898e-01 0 2.094018e-01
## 1752 5 13 14 5.3490173 1.178749e-01 7.843528e-01 0 3.082044e-01
## 1753 5 13 14 3.0100809 1.644036e-02 6.526374e-01 0 9.805702e-02
## 1754 5 13 14 10.6036366 6.591992e-02 8.674290e-01 0 1.874966e-01
## 1755 5 13 14 3.9702626 4.460722e-01 7.875500e-01 0 4.130918e-01
## 1756 5 13 14 4.0613112 1.140443e-01 8.715134e-01 0 9.238501e-01
## 1757 5 13 14 2.2100483 9.886805e-01 1.397137e-01 0 3.840827e-01
## 1758 5 13 14 1.6183380 2.739605e-01 5.351057e-01 0 9.944865e-01
## 1759 5 13 14 7.0766006 5.113079e-02 6.279488e-01 0 2.267315e-01
## 1760 5 13 14 15.5924838 9.105938e-02 9.091343e-01 0 6.693175e-02
## 1761 5 13 14 2.5845300 2.647750e-01 5.382127e-01 0 7.566872e-01
## 1762 5 13 14 5.4851238 1.160306e-01 7.631108e-01 0 2.940447e-01
## 1763 5 13 14 5.5211334 6.606898e-01 7.984835e-02 0 6.486130e-01
## 1764 5 13 14 5.0818756 1.217436e-01 8.906740e-01 0 2.685537e-01
## 1765 5 13 14 6.0584951 2.736605e-01 1.891256e-01 0 3.252266e-01
## 1766 5 13 14 5.7186314 1.180330e-01 7.979554e-01 0 2.419792e-01
## 1767 5 13 14 7.0493279 6.497628e-01 8.162644e-01 0 6.079231e-01
## 1768 5 13 14 18.0553818 8.171814e-02 8.901081e-01 0 7.381419e-02
## 1769 5 13 14 3.8162576 5.904548e-02 2.592092e-02 0 7.347403e-01
## 1770 5 13 14 8.6301028 1.176958e-01 2.267717e-02 0 4.471241e-01
## 1771 5 13 14 7.3260199 2.075001e-01 1.047197e-01 0 8.076463e-01
## 1772 5 13 14 14.8664161 1.138772e-01 2.896037e-02 0 2.670459e-01
## 1773 5 13 14 4.2613202 3.257467e-01 8.555732e-01 0 7.798237e-01
## 1774 5 13 14 4.5298533 1.175852e-01 9.699194e-01 0 2.960443e-01
## 1775 5 13 14 5.4724387 4.825545e-01 3.455551e-01 0 7.858438e-01
## 1776 5 13 14 6.2393494 1.249979e-01 5.940953e-01 0 2.286337e-01
## 1777 5 13 14 4.6777656 9.889688e-01 2.442555e-01 0 9.183592e-01
## 1778 5 13 14 11.8703504 4.259246e-01 7.141399e-01 0 1.390048e-01
## 1779 5 13 14 2.4118482 4.037237e-01 6.617539e-01 0 7.421808e-01
## 1780 5 13 14 4.9542048 1.156107e-01 9.072467e-01 0 3.402060e-01
## 1781 5 13 14 4.9263461 3.867355e-02 5.971422e-01 0 8.365445e-01
## 1782 5 13 14 6.3194942 1.234098e-01 4.184029e-01 0 3.581185e-01
## 1783 5 13 14 4.0799710 1.158285e-01 3.127901e-01 0 6.430983e-01
## 1784 5 13 14 4.6802227 1.158016e-01 7.756020e-01 0 5.778603e-01
## 1785 5 13 14 6.8658992 8.701839e-02 2.507646e-01 0 8.198083e-02
## 1786 5 13 14 4.6616775 9.785778e-02 2.952779e-01 0 9.839350e-01
## 1787 5 13 14 2.9538482 5.801974e-01 9.193386e-01 0 4.551018e-01
## 1788 5 13 14 4.4744893 1.189034e-01 9.900884e-01 0 3.316402e-01
## 1789 5 13 14 5.5088449 9.730399e-01 5.173515e-01 0 3.076217e-01
## 1790 5 13 14 18.9542867 1.087638e-01 6.964928e-01 0 6.446128e-02
## 1791 5 13 14 2.3096017 9.206960e-02 8.248314e-01 0 8.166286e-02
## 1792 5 13 14 4.7894622 1.115263e-01 8.834146e-01 0 4.810629e-01
## 1793 5 13 14 6.8001633 8.050386e-01 3.498838e-01 0 6.559771e-01
## 1794 5 13 14 4.8699517 1.153765e-01 8.061652e-01 0 4.243822e-01
## 1795 5 13 14 4.7466771 2.375868e-01 2.667199e-01 0 8.387292e-01
## 1796 5 13 14 6.9915898 1.128207e-01 1.219981e-01 0 5.343683e-01
## 1797 5 13 14 5.1744842 4.812440e-02 4.559535e-01 0 7.828195e-01
## 1798 5 13 14 5.3975634 1.145426e-01 7.432240e-01 0 3.226193e-01
## 1799 5 13 14 2.0043892 2.399155e-01 4.491285e-02 0 3.870191e-01
## 1800 5 13 14 8.9218345 1.149638e-01 2.143917e-01 0 3.262190e-01
## 1801 5 13 14 5.4043901 6.424444e-01 5.111569e-01 0 8.874673e-01
## 1802 5 13 14 7.0783160 1.192556e-01 3.995786e-01 0 3.333661e-01
## 1803 5 13 14 7.5188508 1.632257e-01 6.807096e-03 0 7.550836e-01
## 1804 5 13 14 6.9066362 1.187647e-01 4.592065e-01 0 3.134735e-01
## 1805 5 13 14 3.0339456 4.428914e-01 6.152056e-01 0 6.539949e-01
## 1806 5 13 14 5.5457983 1.200848e-01 7.330741e-01 0 2.723583e-01
## 1807 5 13 14 3.1371771 2.785948e-02 7.110134e-01 0 8.113215e-01
## 1808 5 13 14 6.2817506 1.202088e-01 6.911842e-01 0 2.133812e-01
## 1809 5 13 14 2.9971139 1.484493e-01 3.120607e-01 0 9.903126e-01
## 1810 5 13 14 4.1449451 1.057316e-01 2.378073e-01 0 9.984682e-01
## 1811 5 13 14 3.1350674 9.476534e-01 8.450166e-02 0 2.587339e-01
## 1812 5 13 14 21.4921586 8.700051e-02 5.968152e-01 0 6.819257e-02
## 1813 5 13 14 3.3471341 7.337422e-01 6.455693e-01 0 3.173715e-01
## 1814 5 13 14 15.4277864 7.106121e-02 8.675322e-01 0 7.697772e-02
## 1815 5 13 14 5.8562262 6.249453e-01 4.328759e-01 0 1.921903e-01
## 1816 5 13 14 5.3289299 1.124220e-01 4.306602e-01 0 6.108307e-01
## 1817 5 13 14 3.6616724 8.351849e-01 3.546849e-01 0 5.280583e-02
## 1818 5 13 14 15.0625278 4.486435e-02 9.043436e-01 0 1.339962e-01
## 1819 5 13 14 4.8688485 1.989638e-01 3.367715e-02 0 1.034815e-01
## 1820 5 13 14 16.0468156 1.217319e-01 3.755260e-02 0 2.254416e-01
## 1821 5 13 14 5.7973412 9.868329e-01 4.586746e-03 0 1.227784e-01
## 1822 5 13 14 25.8359284 9.864173e-01 1.738939e-03 0 1.975697e-01
## 1823 5 13 14 3.3429322 2.934275e-01 2.648850e-01 0 2.842730e-01
## 1824 5 13 14 7.1048211 1.187355e-01 3.693085e-01 0 3.542911e-01
## 1825 5 13 14 7.1880552 7.498435e-02 7.501166e-01 0 1.929980e-01
## 1826 5 13 14 4.8368559 1.033566e-01 8.620129e-01 0 7.162027e-01
## 1827 5 13 14 3.5935643 1.326137e-01 8.206848e-01 0 8.764105e-01
## 1828 5 13 14 4.2250310 1.126303e-01 9.311560e-01 0 7.760264e-01
## 1829 5 13 14 2.2610093 9.992676e-01 4.316364e-01 0 8.907547e-01
## 1830 5 13 14 0.7847200 9.995891e-01 2.676398e-01 0 9.866850e-01
## 1831 5 13 14 4.9181202 7.554885e-02 7.419088e-01 0 6.073256e-02
## 1832 5 13 14 4.5060905 1.160355e-01 8.771925e-01 0 5.245704e-01
## 1833 5 13 14 5.4258648 2.678566e-02 9.019557e-01 0 1.849763e-01
## 1834 5 13 14 4.4694034 1.157789e-01 9.305866e-01 0 4.683127e-01
## 1835 5 13 14 5.0996356 7.876361e-01 9.260620e-01 0 3.838463e-01
## 1836 5 13 14 10.3889820 6.451339e-02 7.413920e-01 0 3.840136e-01
## 1837 5 13 14 3.2146670 7.078660e-01 9.224403e-01 0 4.857456e-01
## 1838 5 13 14 4.6833870 1.194282e-01 9.365093e-01 0 2.850995e-01
## 1839 5 13 14 7.9349141 7.117592e-01 7.493004e-01 0 8.646058e-01
## 1840 5 13 14 5.6353222 1.227412e-01 6.808996e-01 0 3.153165e-01
## 1841 5 13 14 3.9398997 7.334769e-01 7.345644e-02 0 4.010856e-01
## 1842 5 13 14 4.6930735 1.181665e-01 3.289159e-01 0 7.440044e-01
## 1843 5 13 14 2.9587826 9.595522e-01 5.488902e-01 0 7.154125e-02
## 1844 5 13 14 18.5715731 1.115990e-01 6.571553e-01 0 6.477439e-02
## 1845 5 13 14 5.1448819 3.137812e-01 4.601157e-01 0 6.144877e-01
## 1846 5 13 14 5.4444363 1.122572e-01 5.244150e-01 0 5.470683e-01
## 1847 5 13 14 2.0929600 8.616530e-01 6.093048e-01 0 7.685280e-02
## 1848 5 13 14 15.3831738 8.983291e-02 9.054899e-01 0 6.908999e-02
## 1849 5 13 14 5.2896805 2.437898e-01 9.814219e-01 0 5.195805e-01
## 1850 5 13 14 4.6861293 1.107153e-01 9.633819e-01 0 4.707482e-01
## 1851 5 13 14 6.6110346 1.379535e-01 6.806936e-01 0 1.928568e-01
## 1852 5 13 14 5.5208581 8.213978e-02 8.712923e-01 0 9.748681e-01
## 1853 5 13 14 3.3726896 1.335022e-01 2.926339e-01 0 9.419107e-01
## 1854 5 13 14 8.2653888 1.127785e-01 1.498195e-01 0 4.077704e-01
## 1855 5 13 14 4.0842600 8.754013e-01 6.574965e-01 0 5.685387e-01
## 1856 5 13 14 16.5473408 9.214611e-02 7.783240e-01 0 6.699897e-02
## 1857 5 13 14 4.2362219 5.556766e-01 6.132933e-02 0 7.398565e-01
## 1858 5 13 14 11.0711758 1.175280e-01 4.794080e-02 0 3.423391e-01
## 1859 5 13 14 6.1989663 2.772823e-01 4.673362e-01 0 6.944838e-01
## 1860 5 13 14 4.6769991 9.940798e-02 5.365293e-01 0 9.905225e-01
## 1861 5 13 14 3.7227426 1.551202e-01 8.115222e-01 0 3.153376e-01
## 1862 5 13 14 5.5350801 1.103443e-01 3.824803e-01 0 5.914585e-01
## 1863 5 13 14 7.1320118 2.261183e-01 9.134100e-01 0 6.704086e-01
## 1864 5 13 14 5.0393135 1.158914e-01 7.702806e-01 0 3.871713e-01
## 1865 5 13 14 5.3624027 5.318155e-01 1.673661e-01 0 5.801085e-01
## 1866 5 13 14 4.6204688 1.088296e-01 6.596992e-01 0 7.791803e-01
## 1867 5 13 14 4.3221174 2.872847e-01 7.735328e-01 0 1.462780e-01
## 1868 5 13 14 4.3381192 1.085367e-01 7.098000e-01 0 9.352976e-01
## 1869 5 13 14 3.6700463 8.004868e-01 5.607461e-02 0 3.515657e-01
## 1870 5 13 14 7.4828282 1.199162e-01 6.030221e-02 0 4.814388e-01
## 1871 5 13 14 7.0036191 3.223038e-01 8.189740e-01 0 9.195651e-01
## 1872 5 13 14 5.1194776 1.137242e-01 5.716934e-01 0 5.845840e-01
## 1873 5 13 14 4.2460741 9.730902e-01 2.485653e-01 0 7.728006e-02
## 1874 5 13 14 26.4523922 8.691976e-02 4.987070e-01 0 7.011754e-02
## 1875 5 13 14 2.1906384 6.389366e-03 7.154202e-01 0 3.193562e-01
## 1876 5 13 14 4.8271058 1.159917e-01 7.298402e-01 0 5.273240e-01
## 1877 5 13 14 2.1687371 4.571760e-01 7.427231e-02 0 7.259908e-01
## 1878 5 13 14 8.7476135 1.263971e-01 3.453273e-01 0 2.147620e-01
## 1879 5 13 14 3.8619002 3.509561e-01 2.749177e-01 0 8.050636e-01
## 1880 5 13 14 4.8809412 1.166094e-01 5.595884e-01 0 6.179830e-01
## 1881 5 13 14 4.9930764 3.218094e-01 7.942405e-01 0 3.210902e-01
## 1882 5 13 14 4.2765313 1.152565e-01 8.415511e-01 0 7.283094e-01
## 1883 5 13 14 2.7738016 4.052112e-01 4.778298e-01 0 6.294306e-01
## 1884 5 13 14 5.2633836 1.114456e-01 7.145621e-01 0 4.119086e-01
## 1885 5 13 14 6.4483782 1.127090e-01 2.060717e-01 0 7.432605e-01
## 1886 5 13 14 4.5266154 1.102136e-01 2.290679e-01 0 8.876324e-01
## 1887 5 13 14 7.1270854 5.859690e-01 4.487351e-01 0 9.281606e-01
## 1888 5 13 14 14.9270464 4.982521e-02 7.810270e-01 0 1.292754e-01
## 1889 5 13 14 3.6096569 4.946623e-02 5.966001e-01 0 9.530212e-01
## 1890 5 13 14 2.7796153 1.615618e-01 6.685787e-01 0 9.827356e-01
## 1891 5 13 14 4.8956646 9.960265e-02 4.632334e-02 0 1.964752e-01
## 1892 5 13 14 6.4909680 1.211386e-01 5.294643e-01 0 2.873086e-01
## 1893 5 13 14 4.2192085 2.420007e-01 2.220082e-01 0 1.514317e-01
## 1894 5 13 14 5.5891087 1.165913e-01 5.252608e-01 0 4.540419e-01
## 1895 5 13 14 5.5326159 4.930742e-01 5.474539e-01 0 1.923769e-01
## 1896 5 13 14 4.1200980 1.117877e-01 7.608350e-01 0 9.497247e-01
## 1897 5 13 14 2.2319602 7.972039e-01 5.548181e-01 0 7.208544e-01
## 1898 5 13 14 4.5287811 1.212838e-01 9.151688e-01 0 3.517288e-01
## 1899 5 13 14 6.1505183 6.781912e-01 9.226345e-01 0 9.812007e-01
## 1900 5 13 14 7.9627993 5.161197e-02 9.963551e-01 0 9.027858e-01
## 1901 5 13 14 7.6007990 6.694919e-01 8.272632e-01 0 2.587015e-01
## 1902 5 13 14 13.8049805 9.887103e-02 9.203548e-01 0 6.458964e-02
## 1903 5 13 14 7.7634103 7.154142e-01 9.051040e-01 0 6.786854e-03
## 1904 5 13 14 12.5750801 1.015590e-01 9.903906e-01 0 6.444810e-02
## 1905 5 13 14 7.5889305 1.345971e-01 6.037416e-02 0 6.237358e-01
## 1906 5 13 14 6.3849590 1.236498e-01 6.372837e-01 0 2.048666e-01
## 1907 5 13 14 6.3983708 8.964445e-01 2.692535e-01 0 5.635086e-01
## 1908 5 13 14 55.1125860 9.237936e-02 2.078757e-01 0 6.993783e-02
## 1909 5 13 14 4.2927138 3.520145e-01 4.569198e-01 0 2.577834e-01
## 1910 5 13 14 4.2279654 1.199977e-01 6.039602e-01 0 8.221504e-01
## 1911 5 13 14 2.5162633 7.924709e-01 1.741213e-01 0 2.948547e-01
## 1912 5 13 14 4.7751160 1.136288e-01 8.615419e-01 0 4.686089e-01
## 1913 5 13 14 2.2926258 8.856690e-02 5.234453e-01 0 3.665346e-01
## 1914 5 13 14 5.3345023 1.107296e-01 8.170410e-01 0 3.248116e-01
## 1915 5 13 14 3.9950246 6.118755e-01 6.342060e-01 0 5.312974e-01
## 1916 5 13 14 4.6918957 1.230356e-01 8.601722e-01 0 4.179089e-01
## 1917 5 13 14 5.7257801 2.650567e-01 9.196845e-01 0 6.492095e-01
## 1918 5 13 14 5.1949139 1.086503e-01 8.510224e-01 0 4.155525e-01
## 1919 5 13 14 3.0435972 1.962864e-01 5.399983e-01 0 6.970246e-01
## 1920 5 13 14 4.7168051 1.153194e-01 9.497861e-01 0 3.741063e-01
## 1921 5 13 14 6.7173387 9.103821e-01 2.652118e-02 0 8.149059e-01
## 1922 5 13 14 46.5230973 7.605084e-02 2.854206e-01 0 7.173015e-02
## 1923 5 13 14 7.9205546 6.919952e-01 4.784075e-01 0 8.516900e-01
## 1924 5 13 14 4.6981363 1.159811e-01 8.325569e-01 0 4.520533e-01
## 1925 5 13 14 4.5989398 5.523458e-01 4.940591e-01 0 1.143025e-01
## 1926 5 13 14 4.7433008 1.119377e-01 9.053923e-01 0 4.599990e-01
## 1927 5 13 14 3.5838409 8.079850e-01 5.866061e-01 0 4.746978e-01
## 1928 5 13 14 14.2628169 8.608960e-02 8.869525e-01 0 6.869652e-02
## 1929 5 13 14 4.9670511 8.743787e-01 3.236007e-01 0 2.462008e-01
## 1930 5 13 14 56.0379842 9.766407e-02 1.846515e-01 0 6.553716e-02
## 1931 5 13 14 2.9238749 5.230665e-01 4.744610e-01 0 8.989537e-01
## 1932 5 13 14 4.2185220 1.142336e-01 8.702279e-01 0 6.805409e-01
## 1933 5 13 14 4.8327751 9.447268e-02 4.246546e-01 0 3.564815e-01
## 1934 5 13 14 5.1109027 1.165649e-01 7.543499e-01 0 4.172470e-01
## 1935 5 13 14 6.2258589 2.005935e-01 8.784836e-01 0 2.583428e-02
## 1936 5 13 14 4.7645568 1.258532e-01 8.598181e-01 0 2.684401e-01
## 1937 5 13 14 3.8814341 4.598119e-01 8.292357e-01 0 7.373388e-01
## 1938 5 13 14 4.7800402 1.187763e-01 9.216591e-01 0 2.734905e-01
## 1939 5 13 14 6.0270854 6.870901e-01 4.489914e-01 0 3.990839e-01
## 1940 5 13 14 3.8475141 1.182380e-01 1.327817e-01 0 9.669739e-01
## 1941 5 13 14 6.7523848 1.427752e-01 5.388299e-02 0 2.297467e-01
## 1942 5 13 14 4.5005961 1.166662e-01 5.658636e-02 0 8.750586e-01
## 1943 5 13 14 5.0677917 7.392325e-01 2.956428e-01 0 5.001568e-01
## 1944 5 13 14 6.7884489 1.181879e-01 4.408337e-01 0 3.324858e-01
## 1945 5 13 14 6.1566628 7.661993e-01 4.591178e-01 0 9.279124e-01
## 1946 5 13 14 14.5704104 5.642106e-02 6.516170e-02 0 9.944816e-01
## 1947 5 13 14 3.8417694 7.111209e-01 4.132647e-01 0 1.775365e-01
## 1948 5 13 14 5.9011884 1.218323e-01 6.631346e-01 0 2.576379e-01
## 1949 5 13 14 5.7684091 2.214089e-01 9.958742e-01 0 8.892503e-01
## 1950 5 13 14 4.4656105 1.153144e-01 9.926224e-01 0 4.076225e-01
## 1951 5 13 14 6.4484207 9.130257e-01 7.330381e-01 0 4.108395e-01
## 1952 5 13 14 13.5692514 1.031034e-01 9.868258e-01 0 6.575175e-02
## 1953 5 13 14 4.5238430 4.130196e-01 2.772803e-01 0 3.833463e-01
## 1954 5 13 14 6.8144139 1.122326e-01 5.318916e-01 0 2.910794e-01
## 1955 5 13 14 2.1317545 8.999772e-01 7.702045e-01 0 1.490690e-01
## 1956 5 13 14 4.9832086 1.221709e-01 8.585070e-01 0 3.011333e-01
## 1957 5 13 14 3.2240805 5.779028e-02 6.089944e-01 0 5.055348e-01
## 1958 5 13 14 4.1905332 1.073509e-01 9.423402e-01 0 9.829650e-01
## 1959 5 13 14 4.5018979 1.056781e-01 7.455628e-01 0 1.502920e-01
## 1960 5 13 14 5.3999300 1.251614e-01 8.198924e-01 0 1.863774e-01
## 1961 5 13 14 2.7418820 4.466971e-02 1.555113e-01 0 3.605361e-01
## 1962 5 13 14 38.6111685 4.301947e-02 2.603351e-01 0 2.234841e-01
## 1963 5 13 14 2.5755720 8.793413e-01 4.774604e-01 0 1.897118e-02
## 1964 5 13 14 12.0357272 5.662471e-02 8.963993e-01 0 1.324885e-01
## 1965 5 13 14 4.7530296 2.467182e-01 1.492881e-02 0 5.016888e-01
## 1966 5 13 14 7.5211937 1.188442e-01 3.777034e-02 0 4.983265e-01
## 1967 5 13 14 6.5716139 6.101222e-01 5.881221e-01 0 6.283359e-01
## 1968 5 13 14 4.7658011 1.249723e-01 8.390717e-01 0 2.883692e-01
## 1969 5 13 14 3.9874791 7.503683e-01 5.434173e-01 0 4.713211e-01
## 1970 5 13 14 10.4898174 5.797219e-02 9.212497e-01 0 1.624441e-01
## 1971 5 13 14 4.8401077 1.184203e-01 7.352217e-01 0 1.938251e-01
## 1972 5 13 14 4.4219293 1.044986e-01 9.885499e-01 0 8.219010e-01
## 1973 5 13 14 5.1498205 4.698208e-01 3.241662e-01 0 4.349244e-01
## 1974 5 13 14 4.1585491 1.133712e-01 6.069858e-01 0 9.205289e-01
## 1975 5 13 14 4.1060786 1.244675e-01 7.476164e-02 0 7.899599e-01
## 1976 5 13 14 9.5935048 1.192151e-01 7.521166e-02 0 3.594762e-01
## 1977 5 13 14 6.9723057 7.049484e-01 4.475225e-01 0 9.116753e-02
## 1978 5 13 14 27.5058705 8.648321e-02 5.256944e-01 0 7.019745e-02
## 1979 5 13 14 4.6973355 8.162859e-01 2.227937e-01 0 1.662138e-01
## 1980 5 13 14 4.3656541 1.100143e-01 2.543394e-01 0 9.899045e-01
## 1981 5 13 14 6.4571703 7.254490e-01 6.703752e-01 0 9.325940e-01
## 1982 5 13 14 4.2681718 1.142185e-01 8.524903e-01 0 7.620112e-01
## 1983 5 13 14 7.3286320 8.354943e-01 3.169073e-01 0 6.325005e-01
## 1984 5 13 14 21.4152794 9.100657e-02 6.762105e-01 0 6.640731e-02
## 1985 5 13 14 3.0086828 2.023852e-01 6.670930e-02 0 4.905548e-01
## 1986 5 13 14 16.8308469 1.165085e-01 1.111619e-02 0 2.456457e-01
## 1987 5 13 14 5.5630204 8.033188e-01 4.054073e-01 0 8.159916e-01
## 1988 5 13 14 19.3689030 9.930192e-02 6.102779e-01 0 6.414835e-02
## 1989 5 13 14 3.6282364 9.778430e-01 8.411985e-01 0 5.266427e-01
## 1990 5 13 14 12.7420799 1.089179e-01 9.675849e-01 0 6.468473e-02
## 1991 5 13 14 3.6015621 6.863921e-01 9.683717e-01 0 5.068655e-01
## 1992 5 13 14 4.1662172 1.176243e-01 9.795168e-01 0 6.712537e-01
## 1993 5 13 14 7.8251355 8.728871e-01 7.295252e-01 0 3.032354e-01
## 1994 5 13 14 17.8501600 1.008972e-01 6.855787e-01 0 6.330650e-02
## 1995 5 13 14 6.2670591 8.621309e-01 1.817428e-01 0 8.263444e-01
## 1996 5 13 14 7.8709650 1.147454e-01 2.118508e-01 0 4.076872e-01
## 1997 5 13 14 7.1187419 6.701759e-01 3.427308e-01 0 5.064223e-01
## 1998 5 13 14 17.4415255 5.708512e-02 9.019657e-01 0 8.979741e-02
## 1999 5 13 14 4.4484574 1.295349e-01 3.713076e-01 0 4.162426e-01
## 2000 5 13 14 4.6780230 1.172598e-01 6.072812e-02 0 8.107429e-01
## 2001 5 13 14 4.7839707 3.137342e-01 4.578690e-02 0 7.125780e-01
## 2002 5 13 14 11.0055146 1.229737e-01 3.794651e-02 0 3.350184e-01
## 2003 5 13 14 5.3264726 1.046517e-01 6.822016e-01 0 4.050985e-01
## 2004 5 13 14 4.8885243 1.103170e-01 2.719868e-01 0 7.925548e-01
## 2005 5 13 14 6.4292327 4.444111e-01 5.966433e-01 0 2.175155e-01
## 2006 5 13 14 4.2069250 1.128240e-01 4.926338e-01 0 9.202190e-01
## 2007 5 13 14 3.5876426 4.748856e-01 5.258135e-01 0 5.496766e-01
## 2008 5 13 14 5.3988104 1.166541e-01 5.545779e-01 0 4.962195e-01
## 2009 5 13 14 7.6462545 4.645553e-01 8.682979e-01 0 8.152843e-01
## 2010 5 13 14 5.3612571 1.159061e-01 7.897425e-01 0 2.828152e-01
## 2011 5 13 14 4.5650197 3.071377e-01 2.421566e-01 0 3.313874e-01
## 2012 5 13 14 34.8166342 2.054732e-01 9.201718e-01 0 7.514397e-01
## 2013 5 13 14 5.3578619 5.094636e-01 8.226034e-01 0 9.230287e-01
## 2014 5 13 14 4.5372964 1.147736e-01 8.385681e-01 0 5.215740e-01
## 2015 5 13 14 6.7990380 7.758775e-01 9.962726e-02 0 1.623550e-01
## 2016 5 13 14 8.5268051 1.208926e-01 3.788007e-01 0 2.205250e-01
## 2017 5 13 14 3.2405781 6.403303e-01 3.518491e-01 0 2.519996e-01
## 2018 5 13 14 5.8087075 1.148641e-01 4.063723e-01 0 5.194023e-01
## 2019 5 13 14 3.8232515 1.991295e-01 6.700003e-01 0 1.782569e-01
## 2020 5 13 14 4.6996581 1.161401e-01 9.654732e-01 0 2.906316e-01
## 2021 5 13 14 3.8110473 4.919581e-01 1.314766e-01 0 1.037918e-01
## 2022 5 13 14 6.1460126 1.216005e-01 4.309877e-01 0 3.927410e-01
## 2023 5 13 14 2.2636441 5.642906e-01 7.611001e-01 0 7.915910e-01
## 2024 5 13 14 4.6588777 1.113687e-01 8.955616e-01 0 4.895357e-01
## 2025 5 13 14 2.7669225 2.476869e-01 7.246108e-01 0 2.930894e-01
## 2026 5 13 14 5.9260874 1.154710e-01 5.764199e-01 0 4.011053e-01
## 2027 5 13 14 3.1158309 5.219772e-01 1.134229e-01 0 4.286289e-01
## 2028 5 13 14 8.5358228 1.260737e-01 3.682156e-01 0 2.177357e-01
## 2029 5 13 14 3.3881426 6.327471e-01 2.081181e-01 0 9.802440e-01
## 2030 5 13 14 2.2011079 2.101454e-01 6.126299e-01 0 9.806246e-01
## 2031 5 13 14 6.3144164 4.249362e-02 7.255248e-01 0 6.795969e-01
## 2032 5 13 14 19.3027775 9.575185e-02 6.379465e-01 0 6.573106e-02
## 2033 5 13 14 3.4966096 6.607312e-01 3.375083e-01 0 8.172064e-01
## 2034 5 13 14 4.7116753 1.156893e-01 8.991434e-01 0 4.236854e-01
## 2035 5 13 14 7.2647995 6.233038e-01 2.195690e-01 0 9.429320e-01
## 2036 5 13 14 5.8453767 1.232020e-01 5.375082e-01 0 3.532972e-01
## 2037 5 13 14 2.4389114 6.816076e-01 6.650345e-01 0 6.257855e-01
## 2038 5 13 14 5.8003173 1.227978e-01 7.530336e-01 0 2.526374e-01
## 2039 5 13 14 7.2894310 2.993355e-01 5.916221e-01 0 5.825968e-01
## 2040 5 13 14 5.3203934 1.203351e-01 7.424000e-01 0 3.045385e-01
## 2041 5 13 14 7.8483066 4.009635e-01 2.302526e-01 0 7.964426e-01
## 2042 5 13 14 5.9834862 1.185532e-01 5.911774e-01 0 3.629799e-01
## 2043 5 13 14 7.8253054 6.120785e-01 9.917404e-02 0 6.947345e-01
## 2044 5 13 14 5.4285134 1.105202e-01 7.575652e-01 0 3.852354e-01
## 2045 5 13 14 5.8144781 3.771312e-01 5.979570e-01 0 2.655403e-01
## 2046 5 13 14 4.9541911 1.182997e-01 5.245809e-01 0 6.085454e-01
## 2047 5 13 14 4.2712536 5.510270e-01 1.182758e-01 0 8.639013e-01
## 2048 5 13 14 6.0968270 1.175309e-01 5.154569e-02 0 6.204236e-01
## 2049 5 13 14 3.3721832 7.873611e-01 7.959265e-01 0 8.929786e-01
## 2050 5 13 14 13.4402227 4.498687e-02 9.753352e-01 0 6.117956e-01
## 2051 5 13 14 6.0456922 3.559229e-01 6.337883e-01 0 6.983756e-01
## 2052 5 13 14 4.1634814 1.119380e-01 9.497175e-01 0 8.108363e-01
## 2053 5 13 14 7.8979418 5.602268e-01 5.362267e-01 0 4.736003e-01
## 2054 5 13 14 4.6119730 1.173027e-01 8.909141e-01 0 4.371199e-01
## 2055 5 13 14 3.0608858 7.954111e-01 3.837543e-01 0 6.928222e-02
## 2056 5 13 14 15.3068502 9.000500e-02 8.882425e-01 0 6.923466e-02
## 2057 5 13 14 7.4891352 2.937988e-01 6.464448e-02 0 5.146488e-01
## 2058 5 13 14 5.1826804 1.093817e-01 5.581174e-02 0 7.775727e-01
## 2059 5 13 14 4.4872105 2.393054e-01 1.250460e-01 0 4.165299e-01
## 2060 5 13 14 4.4191614 1.047617e-01 2.884748e-01 0 9.229703e-01
## 2061 5 13 14 7.2531378 5.924622e-01 1.341517e-01 0 7.476292e-01
## 2062 5 13 14 6.2590672 1.170431e-01 5.610066e-01 0 3.187448e-01
## 2063 5 13 14 3.4792009 9.499828e-01 9.179673e-01 0 2.934444e-01
## 2064 5 13 14 15.5688602 7.415431e-02 8.838210e-01 0 7.233078e-02
## 2065 5 13 14 3.2493517 7.450111e-01 3.475288e-01 0 3.860422e-02
## 2066 5 13 14 7.4655238 1.171983e-01 3.136875e-01 0 3.703046e-01
## 2067 5 13 14 5.9491604 3.959539e-01 6.345210e-01 0 9.343704e-01
## 2068 5 13 14 4.8045557 1.178772e-01 7.245242e-01 0 4.744604e-01
## 2069 5 13 14 2.8831551 4.097928e-01 1.395091e-01 0 6.947756e-01
## 2070 5 13 14 5.4211927 1.086411e-01 5.483202e-01 0 5.560039e-01
## 2071 5 13 14 4.4003688 5.308781e-01 8.733739e-01 0 6.635856e-02
## 2072 5 13 14 4.1882398 1.120342e-01 9.760466e-01 0 8.263147e-01
## 2073 5 13 14 6.4807187 5.507348e-01 1.253299e-01 0 6.377976e-01
## 2074 5 13 14 4.8360199 1.040480e-01 3.991122e-01 0 8.528624e-01
## 2075 5 13 14 7.9512423 3.916714e-01 2.441917e-01 0 9.843887e-01
## 2076 5 13 14 10.2067364 5.765079e-02 1.050913e-02 0 9.758844e-01
## 2077 5 13 14 7.0722469 1.810890e-01 1.871397e-01 0 5.973226e-01
## 2078 5 13 14 4.7739363 1.122492e-01 9.542450e-01 0 3.109334e-01
## 2079 5 13 14 2.3498840 2.878142e-01 7.440300e-01 0 5.926886e-01
## 2080 5 13 14 5.1446458 1.182443e-01 8.306741e-01 0 2.763854e-01
## 2081 5 13 14 6.4613904 2.181518e-01 1.449271e-01 0 7.499046e-01
## 2082 5 13 14 4.7873411 1.128207e-01 7.375571e-01 0 5.604880e-01
## 2083 5 13 14 3.1957466 7.550179e-01 9.100760e-01 0 1.035967e-01
## 2084 5 13 14 5.0402245 1.228989e-01 8.443634e-01 0 2.568603e-01
## 2085 5 13 14 2.3582694 6.496716e-01 2.805554e-01 0 2.677979e-01
## 2086 5 13 14 4.0065943 1.139354e-01 3.844289e-01 0 9.725827e-01
## 2087 5 13 14 5.9579786 6.060086e-01 6.434670e-01 0 5.393877e-01
## 2088 5 13 14 5.2288623 1.141193e-01 7.999748e-01 0 3.717597e-01
## 2089 5 13 14 6.1510335 8.968802e-01 6.463094e-01 0 3.512801e-01
## 2090 5 13 14 15.2431418 9.271837e-02 8.895909e-01 0 6.793526e-02
## 2091 5 13 14 7.8081365 1.775152e-01 4.952244e-01 0 3.714238e-01
## 2092 5 13 14 4.9002702 1.154922e-01 8.814740e-01 0 3.915543e-01
## 2093 5 13 14 5.1727880 9.749739e-01 9.515869e-01 0 2.746483e-01
## 2094 5 13 14 16.1040523 5.958734e-02 9.327822e-01 0 8.820840e-02
## 2095 5 13 14 2.8498332 2.486444e-01 3.182893e-01 0 4.042124e-01
## 2096 5 13 14 6.3446951 1.142585e-01 3.140939e-01 0 4.869172e-01
## 2097 5 13 14 7.6752746 2.059719e-01 9.408369e-01 0 6.427735e-01
## 2098 5 13 14 4.3636435 1.018546e-01 9.865577e-01 0 9.669489e-01
## 2099 5 13 14 6.6490934 3.150402e-01 8.850911e-01 0 7.013220e-01
## 2100 5 13 14 4.8252596 9.251401e-02 7.375016e-01 0 9.880276e-01
## 2101 5 13 14 5.5259962 7.820044e-01 8.905248e-01 0 8.086166e-02
## 2102 5 13 14 16.0933076 8.934125e-02 9.799255e-01 0 7.301118e-02
## 2103 5 13 14 4.2899561 5.186228e-01 3.052864e-02 0 7.981399e-01
## 2104 5 13 14 8.3456637 1.186647e-01 7.933087e-02 0 4.323850e-01
## 2105 5 13 14 5.3648230 6.417644e-02 5.859987e-01 0 9.824057e-01
## 2106 5 13 14 4.9091475 1.092439e-01 7.204303e-01 0 5.694725e-01
## 2107 5 13 14 4.1663556 4.912363e-01 3.060358e-01 0 1.648470e-01
## 2108 5 13 14 14.2752085 3.484878e-02 8.979866e-01 0 2.998691e-01
## 2109 5 13 14 6.6482138 5.541002e-01 5.197467e-01 0 6.325330e-01
## 2110 5 13 14 4.4393549 1.129200e-01 8.479092e-01 0 6.617382e-01
## 2111 5 13 14 5.3870046 9.481105e-02 2.050401e-01 0 1.747141e-01
## 2112 5 13 14 4.5934584 1.080999e-01 9.276857e-01 0 6.201564e-01
## 2113 5 13 14 7.6729732 6.145624e-01 4.171240e-01 0 6.164119e-01
## 2114 5 13 14 5.3161362 1.216871e-01 7.866090e-01 0 2.764076e-01
## 2115 5 13 14 4.8376363 8.558542e-01 7.043524e-01 0 3.612480e-01
## 2116 5 13 14 12.9723549 9.830554e-02 9.558394e-01 0 6.597515e-02
## 2117 5 13 14 4.8294108 5.773768e-01 2.466774e-01 0 7.884426e-01
## 2118 5 13 14 4.6192090 1.152377e-01 6.845501e-01 0 6.490144e-01
## 2119 5 13 14 3.6557105 6.793920e-01 8.911840e-01 0 4.128888e-01
## 2120 5 13 14 4.5332164 1.236629e-01 9.520772e-01 0 2.645556e-01
## 2121 5 13 14 6.7287821 1.205721e-01 9.825893e-01 0 5.348417e-01
## 2122 5 13 14 4.6811707 1.178544e-01 9.594086e-01 0 2.839033e-01
## 2123 5 13 14 6.4273716 4.556736e-01 2.137793e-01 0 5.049189e-01
## 2124 5 13 14 5.9648324 1.181991e-01 5.484800e-01 0 3.826883e-01
## 2125 5 13 14 3.5375006 6.843777e-01 7.322283e-01 0 7.031815e-01
## 2126 5 13 14 4.5007007 1.194141e-01 6.440732e-01 0 6.680614e-01
## 2127 5 13 14 4.2814440 9.049581e-01 3.792713e-01 0 8.554611e-01
## 2128 5 13 14 6.6383150 1.145775e-01 4.868474e-01 0 3.332699e-01
## 2129 5 13 14 5.3891921 1.109303e-01 2.851143e-01 0 4.812309e-01
## 2130 5 13 14 4.7750693 1.163782e-01 7.385265e-01 0 5.312674e-01
## 2131 5 13 14 3.0107521 4.897109e-01 7.879041e-01 0 7.244390e-01
## 2132 5 13 14 4.6220947 1.191239e-01 9.279277e-01 0 2.986741e-01
## 2133 5 13 14 5.7992184 7.606731e-01 3.796843e-01 0 6.949364e-02
## 2134 5 13 14 25.9093692 9.005771e-02 5.125206e-01 0 6.688319e-02
## 2135 5 13 14 4.3128595 4.202600e-01 1.534368e-01 0 4.272118e-01
## 2136 5 13 14 5.2305547 1.133453e-01 8.391233e-01 0 3.201241e-01
## 2137 5 13 14 6.4017123 3.258150e-01 8.402037e-01 0 8.140416e-01
## 2138 5 13 14 11.7111513 6.634093e-02 8.711369e-01 0 9.867768e-01
## 2139 5 13 14 5.3737938 5.091324e-01 4.008180e-01 0 3.167096e-01
## 2140 5 13 14 5.1369223 1.185889e-01 8.178051e-01 0 2.871654e-01
## 2141 5 13 14 7.4133980 6.875920e-01 5.838975e-01 0 8.723507e-03
## 2142 5 13 14 16.3273336 9.816397e-02 7.717078e-01 0 6.389963e-02
## 2143 5 13 14 3.0387008 1.761272e-02 9.750850e-01 0 4.515619e-01
## 2144 5 13 14 4.4226629 1.070897e-01 9.928057e-01 0 6.832650e-01
## 2145 5 13 14 7.3670663 2.231087e-01 5.376985e-02 0 3.175413e-01
## 2146 5 13 14 7.3385135 1.186046e-01 2.838780e-01 0 3.846837e-01
## 2147 5 13 14 7.1231463 4.851350e-01 7.572771e-01 0 6.239939e-01
## 2148 5 13 14 5.1939621 1.181934e-01 9.130416e-01 0 2.364952e-01
## 2149 5 13 14 6.8631920 1.428110e-01 3.869565e-01 0 2.681590e-01
## 2150 5 13 14 4.1920880 1.126408e-01 7.199594e-02 0 9.798154e-01
## 2151 5 13 14 2.6632211 9.101036e-01 8.381541e-02 0 4.953819e-02
## 2152 5 13 14 20.3870246 4.157218e-02 6.282047e-01 0 1.706401e-01
## 2153 5 13 14 7.2708507 8.646929e-01 7.024498e-02 0 3.778578e-01
## 2154 5 13 14 9.8323107 8.917463e-01 8.350007e-02 0 9.745088e-01
## 2155 5 13 14 4.2822061 8.160562e-02 8.120790e-01 0 5.594184e-01
## 2156 5 13 14 5.1869271 1.193156e-01 8.510089e-01 0 2.369917e-01
## 2157 5 13 14 2.1818701 3.090171e-01 3.826254e-01 0 8.329951e-01
## 2158 5 13 14 4.8387257 1.191431e-01 7.346077e-01 0 4.610115e-01
## 2159 5 13 14 2.0027382 5.074923e-01 3.747699e-01 0 3.896049e-01
## 2160 5 13 14 5.0096781 1.210921e-01 7.784940e-01 0 3.736086e-01
## 2161 5 13 14 5.1370266 2.138567e-01 1.567942e-01 0 1.431053e-01
## 2162 5 13 14 4.4608099 1.151235e-01 2.036046e-01 0 8.659500e-01
## 2163 5 13 14 3.0584779 8.407913e-01 2.814279e-01 0 8.514321e-01
## 2164 5 13 14 4.7995841 1.161359e-01 5.899339e-01 0 6.616645e-01
## 2165 5 13 14 2.6501789 1.755112e-01 8.944040e-01 0 1.562864e-01
## 2166 5 13 14 4.8894929 1.231274e-01 9.332896e-01 0 2.393641e-01
## 2167 5 13 14 2.0010893 9.255858e-01 5.781658e-01 0 5.902052e-01
## 2168 5 13 14 5.0940624 1.192784e-01 9.248279e-01 0 2.524463e-01
## 2169 5 13 14 4.2038009 9.297331e-01 8.195399e-01 0 4.434679e-01
## 2170 5 13 14 7.2469734 8.013527e-01 8.417787e-01 0 2.020090e-01
## 2171 5 13 14 2.9227283 4.053048e-01 6.919621e-01 0 3.096200e-01
## 2172 5 13 14 4.0646861 1.168333e-01 8.323254e-01 0 8.343614e-01
## 2173 5 13 14 6.0824911 2.290475e-01 2.894148e-02 0 9.325708e-02
## 2174 5 13 14 7.3407998 1.185143e-01 1.102374e-02 0 5.222818e-01
## 2175 5 13 14 6.0660933 4.384022e-01 2.953025e-01 0 8.863880e-01
## 2176 5 13 14 4.1740998 1.094981e-01 7.251695e-01 0 9.794709e-01
## 2177 5 13 14 5.9506709 9.955808e-01 2.056533e-01 0 1.467068e-01
## 2178 5 13 14 0.8527605 9.993933e-01 9.358515e-02 0 9.769190e-01
## 2179 5 13 14 7.6639228 8.905597e-01 3.732473e-02 0 1.416858e-01
## 2180 5 13 14 33.3464297 8.159807e-02 4.312252e-01 0 7.263732e-02
## 2181 5 13 14 2.5253305 3.214649e-01 2.615122e-01 0 3.235658e-02
## 2182 5 13 14 7.3572598 1.167646e-01 5.540273e-01 0 2.358763e-01
## 2183 5 13 14 6.7145400 6.498710e-01 5.635984e-02 0 8.960878e-01
## 2184 5 13 14 8.7725147 1.194561e-01 8.551454e-02 0 3.942078e-01
## 2185 5 13 14 4.4108093 8.517903e-01 8.529219e-02 0 7.572984e-01
## 2186 5 13 14 35.0110413 8.246463e-02 3.820057e-01 0 7.087075e-02
## 2187 5 13 14 2.5962461 4.833990e-01 9.449300e-01 0 3.160986e-01
## 2188 5 13 14 4.4239192 1.133785e-01 9.829021e-01 0 5.120852e-01
## 2189 5 13 14 3.3820787 8.651330e-01 2.261451e-01 0 1.924116e-01
## 2190 5 13 14 4.2708050 1.087716e-01 1.628145e-01 0 9.708921e-01
## 2191 5 13 14 2.4646145 5.683873e-01 9.783626e-01 0 6.510554e-01
## 2192 5 13 14 4.4816968 1.191901e-01 9.948676e-01 0 3.212647e-01
## 2193 5 13 14 5.3417890 2.953678e-01 7.987011e-01 0 6.417288e-01
## 2194 5 13 14 4.3154984 1.159564e-01 9.378314e-01 0 5.809031e-01
## 2195 5 13 14 2.1057964 3.852425e-01 6.310243e-01 0 3.522903e-01
## 2196 5 13 14 4.6492752 1.124300e-01 8.833559e-01 0 5.314033e-01
## 2197 5 13 14 7.2467277 7.335387e-01 4.374362e-01 0 8.828063e-01
## 2198 5 13 14 2.7322629 1.670618e-01 1.569547e-01 0 9.822324e-01
## 2199 5 13 14 5.0861108 6.843389e-01 4.873371e-02 0 1.855871e-01
## 2200 5 13 14 6.5133971 7.188687e-02 1.963992e-02 0 9.889677e-01
## 2201 5 13 14 3.2380218 5.970718e-01 7.384047e-02 0 5.920482e-01
## 2202 5 13 14 5.8299430 1.300942e-01 7.448941e-01 0 1.799051e-01
## 2203 5 13 14 6.5645287 5.490427e-01 2.548317e-01 0 2.165733e-01
## 2204 5 13 14 4.9448566 1.096765e-01 6.185611e-01 0 6.561956e-01
## 2205 5 13 14 2.7679985 6.396297e-01 4.762708e-04 0 8.019054e-01
## 2206 5 13 14 8.7428491 1.141956e-01 3.220314e-04 0 4.541000e-01
## 2207 5 13 14 7.5129817 8.322359e-01 8.171548e-01 0 4.971155e-01
## 2208 5 13 14 18.4720849 1.004999e-01 6.948624e-01 0 6.428077e-02
## 2209 5 13 14 3.1119415 7.638444e-01 9.203035e-01 0 7.963013e-01
## 2210 5 13 14 15.9142663 8.536380e-02 9.812372e-01 0 7.149218e-02
## 2211 5 13 14 3.7436046 8.888356e-01 9.748982e-01 0 9.309298e-01
## 2212 5 13 14 4.2654971 1.187833e-01 8.915348e-01 0 6.024943e-01
## 2213 5 13 14 5.6232170 9.818247e-01 4.552985e-01 0 6.564806e-02
## 2214 5 13 14 5.5348985 9.021020e-01 8.759800e-01 0 1.283051e-01
## 2215 5 13 14 3.5077839 3.293188e-01 9.007565e-01 0 6.532954e-01
## 2216 5 13 14 4.3289140 1.209515e-01 9.271982e-01 0 4.648828e-01
## 2217 5 13 14 2.1705959 7.107442e-01 3.080114e-01 0 1.086855e-02
## 2218 5 13 14 17.9850784 8.250893e-02 7.653397e-01 0 6.950978e-02
## 2219 5 13 14 5.2544964 1.943935e-01 1.437528e-02 0 8.357619e-01
## 2220 5 13 14 7.6515532 1.175449e-01 3.473854e-03 0 5.099927e-01
## 2221 5 13 14 2.4888882 2.671139e-01 1.288737e-01 0 9.030463e-01
## 2222 5 13 14 5.8828793 1.087083e-01 1.268789e-01 0 6.598643e-01
## 2223 5 13 14 6.3548270 6.420511e-01 1.081671e-01 0 1.384119e-01
## 2224 5 13 14 7.8307175 1.128327e-01 3.121179e-01 0 3.559975e-01
## 2225 5 13 14 7.3499357 1.601645e-01 2.923022e-01 0 4.448710e-01
## 2226 5 13 14 7.4750401 1.188221e-01 2.163464e-01 0 3.972651e-01
## 2227 5 13 14 2.5781971 8.932022e-01 2.120936e-01 0 6.604892e-01
## 2228 5 13 14 44.2384282 8.580731e-02 2.634280e-01 0 6.834373e-02
## 2229 5 13 14 2.7818807 3.733202e-01 1.621287e-01 0 2.912521e-03
## 2230 5 13 14 18.4643682 8.279197e-02 7.474186e-01 0 7.001319e-02
## 2231 5 13 14 4.7567939 9.258576e-01 6.259809e-01 0 5.497150e-01
## 2232 5 13 14 14.1761264 5.933542e-02 7.179812e-01 0 1.180231e-01
## 2233 5 13 14 5.0489389 4.681746e-01 3.681674e-01 0 5.389506e-01
## 2234 5 13 14 5.3328948 1.277237e-01 7.228143e-01 0 2.598267e-01
## 2235 5 13 14 2.6276256 5.089071e-01 8.056533e-02 0 1.815878e-01
## 2236 5 13 14 4.1249187 1.114846e-01 3.025298e-01 0 9.668256e-01
## 2237 5 13 14 5.8206895 8.404471e-01 3.763214e-01 0 7.754815e-01
## 2238 5 13 14 5.7667001 1.217399e-01 6.402140e-01 0 3.029227e-01
## 2239 5 13 14 4.7573194 3.066802e-01 9.991026e-02 0 4.316194e-01
## 2240 5 13 14 6.0917613 1.133713e-01 1.172492e-02 0 6.710741e-01
## 2241 5 13 14 4.8874747 4.827382e-01 6.818351e-01 0 2.162034e-01
## 2242 5 13 14 4.8403384 1.216725e-01 8.954694e-01 0 2.964065e-01
## 2243 5 13 14 3.6492732 5.531618e-01 5.715678e-01 0 6.193735e-01
## 2244 5 13 14 4.6036751 1.123473e-01 6.387359e-01 0 7.612927e-01
## 2245 5 13 14 4.0348602 1.987090e-01 3.663597e-01 0 5.470980e-01
## 2246 5 13 14 5.6625597 1.184999e-01 6.696212e-01 0 3.210467e-01
## 2247 5 13 14 4.2015882 4.849944e-01 7.258928e-01 0 7.212177e-01
## 2248 5 13 14 4.3736904 1.139733e-01 9.443729e-01 0 5.279652e-01
## 2249 5 13 14 6.4856501 4.003246e-01 3.527946e-01 0 8.562707e-01
## 2250 5 13 14 5.2536313 1.131778e-01 3.212066e-01 0 6.916971e-01
## 2251 5 13 14 5.6464533 9.384291e-01 9.978490e-01 0 8.206759e-01
## 2252 5 13 14 12.6811301 1.006183e-01 9.979605e-01 0 6.622281e-02
## 2253 5 13 14 2.4525987 2.239506e-01 4.784768e-01 0 3.786238e-01
## 2254 5 13 14 6.3362679 1.215064e-01 6.077925e-01 0 2.440829e-01
## 2255 5 13 14 7.2869298 7.078935e-02 4.028537e-02 0 9.576436e-01
## 2256 5 13 14 10.6449981 4.495286e-02 1.590359e-02 0 9.985406e-01
## 2257 5 13 14 3.0973109 3.532921e-01 2.695202e-01 0 5.086802e-01
## 2258 5 13 14 4.5617085 1.145564e-01 9.664429e-01 0 4.303968e-01
## 2259 5 13 14 6.9816983 2.053853e-01 9.509369e-01 0 5.723606e-01
## 2260 5 13 14 4.6622845 1.068671e-01 9.818066e-01 0 4.833656e-01
## 2261 5 13 14 2.1575548 9.940908e-01 5.858589e-01 0 9.115443e-01
## 2262 5 13 14 0.8851396 9.988909e-01 6.324515e-01 0 9.772435e-01
## 2263 5 13 14 5.5144176 6.834436e-01 1.813659e-01 0 3.360451e-01
## 2264 5 13 14 8.9493177 1.213015e-01 1.737348e-01 0 3.467685e-01
## 2265 5 13 14 5.9782573 8.429655e-01 1.970167e-01 0 9.987979e-01
## 2266 5 13 14 11.3266685 4.483811e-02 4.323464e-02 0 9.950136e-01
## 2267 5 13 14 2.5719569 6.263521e-01 9.903686e-01 0 3.730743e-01
## 2268 5 13 14 4.8501771 1.063460e-01 9.963393e-01 0 4.426817e-01
## 2269 5 13 14 2.1366742 4.970475e-01 6.326308e-01 0 6.906450e-01
## 2270 5 13 14 4.8899394 1.215578e-01 8.855956e-01 0 2.614514e-01
## 2271 5 13 14 7.0594990 9.210866e-01 9.417666e-01 0 6.563178e-01
## 2272 5 13 14 12.7645119 9.994318e-02 9.948202e-01 0 6.468297e-02
## 2273 5 13 14 2.4697633 4.461608e-01 1.533051e-01 0 4.773321e-01
## 2274 5 13 14 5.1321366 1.217227e-01 7.787306e-01 0 3.260215e-01
## 2275 5 13 14 5.8357685 4.793636e-01 4.715213e-01 0 3.040672e-01
## 2276 5 13 14 6.1165525 1.199027e-01 6.918447e-01 0 2.357760e-01
## 2277 5 13 14 3.2357760 8.153850e-02 2.274994e-01 0 9.882179e-01
## 2278 5 13 14 3.3099568 1.400184e-01 9.051912e-01 0 8.946252e-01
## 2279 5 13 14 2.1156852 3.428818e-01 2.176781e-01 0 6.825923e-01
## 2280 5 13 14 6.5086612 1.161175e-01 2.774606e-01 0 4.839038e-01
## 2281 5 13 14 6.7001323 1.386465e-02 7.293513e-01 0 4.758145e-01
## 2282 5 13 14 4.9264430 1.168865e-01 9.310810e-01 0 2.436182e-01
## 2283 5 13 14 2.5548379 5.737194e-01 7.032791e-01 0 1.654064e-01
## 2284 5 13 14 4.4472247 1.159620e-01 9.126300e-01 0 4.433115e-01
## 2285 5 13 14 2.0272108 1.730733e-01 6.280667e-01 0 5.394302e-01
## 2286 5 13 14 6.2079807 1.195765e-01 7.574595e-01 0 1.903410e-01
## 2287 5 13 14 7.3775596 9.194877e-01 9.489846e-01 0 7.551395e-02
## 2288 5 13 14 14.7455828 8.903136e-02 9.744694e-01 0 6.896574e-02
## 2289 5 13 14 2.0917304 9.373180e-01 7.325918e-02 0 4.774725e-01
## 2290 5 13 14 29.7034539 9.401868e-02 4.254431e-01 0 6.985948e-02
## 2291 5 13 14 6.2512375 5.755261e-01 5.286939e-01 0 8.684701e-01
## 2292 5 13 14 4.3719004 1.168171e-01 6.536707e-01 0 7.606355e-01
## 2293 5 13 14 7.2594258 3.506552e-01 1.469877e-01 0 2.555584e-01
## 2294 5 13 14 5.6979663 1.190999e-01 5.516540e-01 0 4.387061e-01
## 2295 5 13 14 7.5990275 7.312509e-01 2.006210e-01 0 9.771310e-01
## 2296 5 13 14 4.7030442 1.306828e-01 6.983905e-01 0 4.696143e-01
## 2297 5 13 14 2.8071085 6.765557e-01 2.354721e-01 0 8.494192e-01
## 2298 5 13 14 6.7736623 1.089379e-01 4.690874e-01 0 3.659338e-01
## 2299 5 13 14 6.3844433 3.326037e-01 8.730727e-01 0 6.226603e-01
## 2300 5 13 14 4.5998784 1.177312e-01 9.222254e-01 0 3.511359e-01
## 2301 5 13 14 3.2746501 9.950892e-02 1.611321e-01 0 1.152865e-01
## 2302 5 13 14 5.1325715 1.225801e-01 7.403478e-01 0 3.679719e-01
## 2303 5 13 14 5.1299595 9.391538e-01 6.772318e-01 0 2.606674e-01
## 2304 5 13 14 16.1315526 6.865101e-02 9.666085e-01 0 7.995571e-02
## 2305 5 13 14 6.1275871 9.885661e-01 8.864726e-02 0 2.118960e-01
## 2306 5 13 14 101.1858796 1.085587e-01 6.893624e-02 0 6.448623e-02
## 2307 5 13 14 5.3768174 1.115236e-01 5.350102e-01 0 9.854339e-01
## 2308 5 13 14 6.8414833 6.101879e-02 5.202834e-01 0 8.759071e-01
## 2309 5 13 14 6.4140321 3.169344e-01 8.798572e-01 0 1.023675e-01
## 2310 5 13 14 4.5825553 1.213174e-01 9.157860e-01 0 3.713323e-01
## 2311 5 13 14 7.7681341 1.273793e-01 1.575308e-01 0 1.456465e-02
## 2312 5 13 14 5.4389276 1.196475e-01 7.593736e-01 0 2.939461e-01
## 2313 5 13 14 6.0298603 3.453967e-01 9.998601e-01 0 7.524030e-02
## 2314 5 13 14 4.5595725 1.203368e-01 9.993184e-01 0 2.541718e-01
## 2315 5 13 14 2.7453457 4.491222e-01 4.451437e-02 0 5.050526e-01
## 2316 5 13 14 5.6457100 1.166640e-01 1.643883e-01 0 6.277659e-01
## 2317 5 13 14 4.5699945 1.962134e-01 4.287966e-01 0 8.128532e-01
## 2318 5 13 14 5.7634118 1.073064e-01 7.748290e-01 0 3.094522e-01
## 2319 5 13 14 6.4230897 5.248699e-01 9.563437e-01 0 3.280498e-01
## 2320 5 13 14 14.4303212 9.179130e-02 9.442984e-01 0 6.644782e-02
## 2321 5 13 14 2.3085164 3.008637e-01 8.865594e-01 0 2.760845e-02
## 2322 5 13 14 4.6028437 1.150815e-01 8.275893e-01 0 5.251774e-01
## 2323 5 13 14 4.4010888 1.476197e-01 3.846352e-01 0 6.927259e-01
## 2324 5 13 14 4.8812381 1.199806e-01 8.048175e-01 0 3.519739e-01
## 2325 5 13 14 5.1005788 8.243589e-01 3.940872e-01 0 3.444068e-01
## 2326 5 13 14 25.6837825 9.328258e-02 5.787181e-01 0 7.307928e-02
## 2327 5 13 14 6.5239427 3.114061e-01 8.635058e-01 0 3.511985e-01
## 2328 5 13 14 4.4085998 1.137051e-01 9.284435e-01 0 6.140776e-01
## 2329 5 13 14 3.4783376 4.919774e-01 1.101042e-01 0 9.613707e-01
## 2330 5 13 14 4.4196462 1.272694e-01 4.769012e-02 0 7.938263e-01
## 2331 5 13 14 7.5926331 3.296708e-02 8.972709e-01 0 2.143720e-01
## 2332 5 13 14 4.1828295 1.249545e-01 9.934248e-01 0 3.359532e-01
## 2333 5 13 14 7.5739395 7.831368e-01 2.089388e-01 0 7.377981e-01
## 2334 5 13 14 4.4928980 1.206696e-01 9.148063e-01 0 3.775353e-01
## 2335 5 13 14 6.1787161 1.611908e-02 6.798485e-01 0 2.828088e-02
## 2336 5 13 14 13.9458575 5.729785e-02 5.479024e-01 0 2.965391e-01
## 2337 5 13 14 2.5087316 3.576219e-01 9.072401e-01 0 5.311266e-01
## 2338 5 13 14 4.4557298 1.008054e-01 9.675157e-01 0 9.074123e-01
## 2339 5 13 14 6.7111833 9.273072e-01 7.880594e-03 0 9.133474e-01
## 2340 5 13 14 177.8017348 8.504819e-02 4.512645e-04 0 7.197550e-02
## 2341 5 13 14 3.2559697 4.099488e-01 3.784080e-01 0 3.954000e-01
## 2342 5 13 14 4.7376054 1.154408e-01 9.084730e-01 0 3.616143e-01
## 2343 5 13 14 5.7947593 6.137444e-01 7.797680e-01 0 6.964971e-02
## 2344 5 13 14 14.6873727 4.258604e-02 7.646797e-01 0 2.652035e-01
## 2345 5 13 14 2.0402262 2.909159e-01 3.145894e-01 0 3.052280e-01
## 2346 5 13 14 5.5867721 1.121997e-01 7.426704e-01 0 3.451790e-01
## 2347 5 13 14 7.6402903 1.771465e-01 7.628007e-01 0 6.705523e-01
## 2348 5 13 14 4.2235163 1.131569e-01 9.633236e-01 0 7.481379e-01
## 2349 5 13 14 2.1448220 6.349745e-01 1.020364e-01 0 5.305698e-01
## 2350 5 13 14 4.8228643 1.121064e-01 7.050410e-01 0 6.085815e-01
## 2351 5 13 14 5.6248885 1.401068e-01 3.308186e-01 0 4.353742e-01
## 2352 5 13 14 4.1973957 1.120660e-01 3.293838e-01 0 9.476621e-01
## 2353 5 13 14 5.1539424 4.531347e-01 3.746083e-01 0 4.225338e-01
## 2354 5 13 14 5.7304378 7.930798e-02 1.994453e-01 0 9.818093e-01
## 2355 5 13 14 7.4817616 5.473944e-01 4.890771e-01 0 4.586346e-02
## 2356 5 13 14 14.9974956 3.473562e-02 5.507176e-01 0 6.085539e-01
## 2357 5 13 14 2.5541634 4.297199e-01 1.175320e-02 0 9.422541e-01
## 2358 5 13 14 7.6202796 1.169334e-01 4.314502e-03 0 5.045589e-01
## 2359 5 13 14 4.2864131 6.640308e-01 8.254121e-01 0 7.684757e-01
## 2360 5 13 14 5.2242021 1.067667e-01 7.214706e-01 0 5.355980e-01
## 2361 5 13 14 3.6186086 6.805377e-01 1.867933e-01 0 1.716190e-01
## 2362 5 13 14 6.2827705 1.213404e-01 6.716028e-01 0 2.105159e-01
## 2363 5 13 14 6.5506773 8.356859e-01 8.737045e-01 0 7.768613e-01
## 2364 5 13 14 16.2303143 9.309551e-02 8.618529e-01 0 6.699880e-02
## 2365 5 13 14 6.3404773 8.885271e-01 3.190421e-01 0 7.929023e-01
## 2366 5 13 14 17.6777818 9.694624e-02 8.253059e-01 0 8.001550e-02
## 2367 5 13 14 6.2014287 1.007572e-01 1.827351e-01 0 2.569916e-01
## 2368 5 13 14 10.3500687 1.220844e-01 1.845996e-01 0 2.760542e-01
## 2369 5 13 14 7.7458272 3.882772e-01 4.173443e-01 0 6.416665e-01
## 2370 5 13 14 4.6447847 1.153622e-01 4.196644e-01 0 7.570276e-01
## 2371 5 13 14 4.5794454 2.335331e-01 7.854116e-02 0 5.549233e-01
## 2372 5 13 14 6.3165681 1.232655e-01 6.566621e-01 0 2.327976e-01
## 2373 5 13 14 7.1972895 3.310113e-01 6.422321e-01 0 2.651547e-01
## 2374 5 13 14 4.7733567 1.201660e-01 8.595197e-01 0 3.128546e-01
## 2375 5 13 14 4.9379852 6.222581e-01 4.144719e-01 0 8.475082e-01
## 2376 5 13 14 5.7817939 1.102899e-01 1.917210e-01 0 6.576864e-01
## 2377 5 13 14 6.3729639 3.573175e-03 4.119675e-01 0 1.059203e-01
## 2378 5 13 14 5.4074541 1.211757e-01 6.877566e-01 0 3.468124e-01
## 2379 5 13 14 5.5513751 9.491642e-01 3.328483e-01 0 4.180366e-01
## 2380 5 13 14 15.3807715 7.538353e-02 8.728962e-01 0 7.465737e-02
## 2381 5 13 14 6.9545132 4.053691e-01 2.747790e-01 0 8.995631e-01
## 2382 5 13 14 9.0399554 1.159611e-01 3.196458e-01 0 2.804740e-01
## 2383 5 13 14 2.3410616 1.408172e-01 6.371777e-01 0 5.987205e-01
## 2384 5 13 14 4.6323894 1.119768e-01 8.623536e-01 0 5.342154e-01
## 2385 5 13 14 6.9093542 5.348889e-01 9.322744e-01 0 4.539637e-01
## 2386 5 13 14 15.8131243 7.424234e-02 9.334487e-01 0 7.920502e-02
## 2387 5 13 14 7.8819176 4.993553e-01 2.452881e-01 0 9.876084e-01
## 2388 5 13 14 4.5593661 9.788038e-02 3.842918e-01 0 9.898892e-01
## 2389 5 13 14 3.1245282 1.612694e-01 9.799623e-01 0 7.479145e-01
## 2390 5 13 14 4.8673651 1.206981e-01 9.276379e-01 0 2.313410e-01
## 2391 5 13 14 6.5832011 8.086750e-01 3.909179e-01 0 1.330385e-01
## 2392 5 13 14 14.8820476 9.920109e-02 8.537309e-01 0 6.636798e-02
## 2393 5 13 14 5.1154207 6.400381e-01 8.534567e-01 0 2.969761e-01
## 2394 5 13 14 15.1045506 8.805013e-02 9.826128e-01 0 6.945195e-02
## 2395 5 13 14 4.1307477 8.374321e-01 2.924453e-01 0 9.079014e-01
## 2396 5 13 14 5.4701338 1.207538e-01 6.906472e-01 0 3.117510e-01
## 2397 5 13 14 4.3703486 6.799885e-01 3.947745e-01 0 2.166450e-01
## 2398 5 13 14 28.4739619 7.418638e-02 4.605081e-01 0 7.523948e-02
## 2399 5 13 14 2.0336718 9.274904e-01 1.354844e-01 0 9.406705e-01
## 2400 5 13 14 5.9848327 1.179261e-01 1.190932e-01 0 6.094772e-01
## 2401 5 13 14 6.8299632 5.978342e-01 4.557241e-01 0 5.341046e-01
## 2402 5 13 14 4.7787377 1.134970e-01 5.589878e-01 0 6.833550e-01
## 2403 5 13 14 3.8701642 5.889590e-01 7.486734e-01 0 7.307104e-01
## 2404 5 13 14 4.3383522 1.160083e-01 7.233521e-01 0 7.558805e-01
## 2405 5 13 14 2.6856283 2.745312e-01 4.398381e-01 0 4.312776e-01
## 2406 5 13 14 5.6928898 1.124084e-01 5.540784e-01 0 4.822104e-01
## 2407 5 13 14 4.2080445 1.186654e-01 2.252239e-01 0 8.970271e-01
## 2408 5 13 14 6.7348290 1.128864e-01 6.307335e-01 0 2.411991e-01
## 2409 5 13 14 3.9934556 3.238205e-01 8.471225e-01 0 2.382417e-01
## 2410 5 13 14 4.0538634 1.218413e-01 9.039082e-01 0 6.536971e-01
## 2411 5 13 14 6.6613981 3.707944e-01 5.920336e-01 0 2.335929e-01
## 2412 5 13 14 6.3996283 1.158417e-01 6.487833e-01 0 2.579808e-01
## 2413 5 13 14 5.2589046 7.549953e-01 1.376392e-01 0 7.358100e-01
## 2414 5 13 14 34.5841865 4.315389e-02 2.654998e-01 0 1.671183e-01
## 2415 5 13 14 6.5897133 1.094345e-01 4.116645e-01 0 6.905532e-01
## 2416 5 13 14 5.3033707 1.177072e-01 7.360089e-01 0 3.272837e-01
## 2417 5 13 14 5.4325066 6.222396e-01 6.224861e-02 0 8.093039e-01
## 2418 5 13 14 4.7782332 9.222381e-02 9.836555e-02 0 9.842925e-01
## 2419 5 13 14 5.7356810 4.414050e-01 9.666644e-01 0 1.603064e-01
## 2420 5 13 14 4.5656219 1.225648e-01 9.277258e-01 0 3.041144e-01
## 2421 5 13 14 6.0657576 2.810045e-01 1.778397e-01 0 8.395531e-02
## 2422 5 13 14 6.6633771 1.185033e-01 5.741752e-01 0 2.385464e-01
## 2423 5 13 14 4.4745636 3.471954e-01 2.514562e-01 0 4.814961e-01
## 2424 5 13 14 7.9585521 1.195930e-01 3.606960e-01 0 2.933709e-01
## 2425 5 13 14 6.6070798 6.117451e-03 5.306172e-01 0 8.926898e-01
## 2426 5 13 14 13.9491116 3.833306e-02 6.111250e-01 0 9.046133e-01
## 2427 5 13 14 2.9404477 5.714984e-01 8.611376e-02 0 4.542799e-01
## 2428 5 13 14 10.1953457 1.222296e-01 2.376490e-01 0 2.357357e-01
## 2429 5 13 14 4.1760010 2.241179e-01 2.277254e-01 0 2.320586e-02
## 2430 5 13 14 4.9830615 1.267474e-01 8.409603e-01 0 2.185117e-01
## 2431 5 13 14 7.1385706 2.270896e-01 3.909872e-01 0 9.941398e-01
## 2432 5 13 14 3.4713292 1.295548e-01 5.553772e-01 0 9.575320e-01
## 2433 5 13 14 7.9813161 9.671216e-01 1.319506e-01 0 1.177701e-01
## 2434 5 13 14 3.8896667 1.196685e-01 7.965284e-02 0 9.802999e-01
## 2435 5 13 14 4.3477598 3.163904e-02 2.150822e-01 0 8.474216e-01
## 2436 5 13 14 7.7301029 1.134013e-01 2.722519e-01 0 3.795282e-01
## 2437 5 13 14 5.4972292 5.597871e-03 3.652745e-01 0 4.540606e-01
## 2438 5 13 14 6.5955362 1.190724e-01 4.438587e-01 0 3.724663e-01
## 2439 5 13 14 4.0421087 5.061640e-01 3.250750e-01 0 2.207346e-01
## 2440 5 13 14 4.5345876 1.181985e-01 8.734438e-01 0 4.642192e-01
## 2441 5 13 14 6.4376929 1.093606e-01 2.481585e-01 0 7.700372e-01
## 2442 5 13 14 4.9199873 1.131996e-01 8.609009e-01 0 3.941404e-01
## 2443 5 13 14 4.2565979 1.116524e-01 9.887552e-01 0 6.276918e-02
## 2444 5 13 14 4.2786372 1.249795e-01 9.962435e-01 0 2.736931e-01
## 2445 5 13 14 7.4750301 1.692884e-01 5.400311e-01 0 7.913149e-01
## 2446 5 13 14 5.6238062 1.151992e-01 5.128367e-01 0 5.061783e-01
## 2447 5 13 14 7.5067393 3.425438e-01 9.888443e-01 0 7.106047e-01
## 2448 5 13 14 4.5254317 1.179143e-01 9.925693e-01 0 3.159283e-01
## 2449 5 13 14 7.3668226 3.020588e-01 9.933243e-01 0 9.850879e-01
## 2450 5 13 14 2.5114732 1.806774e-01 9.961063e-01 0 9.970607e-01
## 2451 5 13 14 6.7213541 8.513830e-01 9.793615e-01 0 7.938847e-01
## 2452 5 13 14 4.5535515 1.119491e-01 9.954276e-01 0 4.667356e-01
## 2453 5 13 14 5.9068754 2.124057e-02 1.224808e-01 0 7.831261e-01
## 2454 5 13 14 4.3507564 1.137692e-01 1.135984e-02 0 8.944899e-01
## 2455 5 13 14 6.5193733 1.799344e-01 9.386788e-01 0 5.276458e-01
## 2456 5 13 14 4.5913912 1.246794e-01 9.944181e-01 0 2.496184e-01
## 2457 5 13 14 5.0739879 6.961176e-02 2.601810e-01 0 2.522798e-01
## 2458 5 13 14 5.0215033 1.190796e-01 7.979205e-01 0 3.510630e-01
## 2459 5 13 14 6.6256734 7.438821e-01 2.969772e-01 0 6.110778e-01
## 2460 5 13 14 14.5395467 5.094920e-02 7.159319e-01 0 1.759004e-01
## 2461 5 13 14 5.5723591 9.157229e-01 4.979767e-01 0 4.930141e-01
## 2462 5 13 14 22.1530501 3.772970e-02 6.054418e-01 0 1.850074e-01
## 2463 5 13 14 4.8666606 7.894409e-01 2.063147e-01 0 3.691889e-02
## 2464 5 13 14 19.0229976 9.377029e-02 7.161346e-01 0 6.781762e-02
## 2465 5 13 14 4.6976417 9.110628e-02 4.592866e-01 0 5.982132e-01
## 2466 5 13 14 5.2622072 1.160594e-01 5.082278e-01 0 5.387331e-01
## 2467 5 13 14 3.7367157 8.740724e-01 4.448921e-01 0 9.865712e-01
## 2468 5 13 14 3.9200362 1.157763e-01 2.625055e-01 0 9.983058e-01
## 2469 5 13 14 2.3552823 9.052365e-01 5.160895e-01 0 3.738079e-01
## 2470 5 13 14 17.8529411 5.068378e-02 7.605830e-01 0 1.148962e-01
## 2471 5 13 14 7.2282401 1.181460e-01 5.818880e-01 0 4.854078e-01
## 2472 5 13 14 4.8383829 1.206669e-01 8.138693e-01 0 3.863562e-01
## 2473 5 13 14 5.5975804 8.986794e-01 1.648437e-01 0 9.059095e-01
## 2474 5 13 14 12.2805006 1.115816e-01 1.119462e-01 0 2.832603e-01
## 2475 5 13 14 4.9913874 4.250677e-01 4.093638e-01 0 9.704966e-01
## 2476 5 13 14 5.1587303 1.211618e-01 7.441750e-01 0 3.322545e-01
## 2477 5 13 14 5.7849093 1.792918e-01 8.470414e-01 0 2.460839e-01
## 2478 5 13 14 4.9746920 1.189780e-01 9.517738e-01 0 2.522266e-01
## 2479 5 13 14 2.4766431 8.812965e-01 2.377029e-01 0 6.246432e-01
## 2480 5 13 14 9.8379468 1.207895e-01 2.893710e-01 0 2.257416e-01
## 2481 5 13 14 3.4228878 8.492769e-01 8.569339e-01 0 9.240255e-01
## 2482 5 13 14 13.7647831 1.125082e-01 9.893656e-01 0 6.589950e-02
## 2483 5 13 14 6.3307365 8.499902e-01 2.870440e-01 0 6.701511e-01
## 2484 5 13 14 17.5127163 9.364197e-02 7.411253e-01 0 6.534742e-02
## 2485 5 13 14 6.7453470 7.495058e-01 2.978063e-01 0 6.425194e-01
## 2486 5 13 14 4.5758506 1.208982e-01 9.185570e-01 0 3.687256e-01
## 2487 5 13 14 3.2711805 7.760396e-01 4.714890e-01 0 8.042587e-02
## 2488 5 13 14 35.6447902 9.554728e-02 3.398836e-01 0 6.527716e-02
## 2489 5 13 14 3.5529028 5.399746e-01 4.771803e-01 0 8.608144e-01
## 2490 5 13 14 5.1369265 1.197370e-01 8.217280e-01 0 3.210463e-01
## 2491 5 13 14 4.6276853 5.922273e-01 6.756365e-01 0 5.422517e-01
## 2492 5 13 14 27.9864088 5.806246e-01 8.338107e-01 0 9.276020e-01
## 2493 5 13 14 7.2858799 6.445893e-01 7.318197e-01 0 8.859204e-01
## 2494 5 13 14 5.4330935 1.202430e-01 7.576054e-01 0 2.914466e-01
## 2495 5 13 14 2.7991352 2.716939e-01 4.108467e-01 0 6.425860e-01
## 2496 5 13 14 6.5508488 1.194621e-01 4.844247e-01 0 3.396260e-01
## 2497 5 13 14 2.7785900 1.824661e-01 3.710650e-01 0 7.015688e-01
## 2498 5 13 14 7.5581321 1.263333e-01 4.821506e-01 0 2.071105e-01
## 2499 5 13 14 3.6467908 1.317633e-01 4.632311e-01 0 4.678576e-01
## 2500 5 13 14 7.4292134 1.112504e-01 3.754216e-01 0 3.555129e-01
## 2501 5 13 14 6.5888880 4.933053e-01 8.206191e-01 0 9.301939e-01
## 2502 5 13 14 5.6051704 1.114735e-01 7.167363e-01 0 3.693519e-01
## 2503 5 13 14 5.4874308 9.950464e-01 8.023736e-01 0 7.133154e-01
## 2504 5 13 14 0.8096563 9.988871e-01 8.429163e-01 0 9.827134e-01
## 2505 5 13 14 6.5748027 4.243629e-02 7.636700e-01 0 5.225260e-01
## 2506 5 13 14 4.6213970 1.099031e-01 9.442431e-01 0 4.978537e-01
## 2507 5 13 14 3.3307531 1.584521e-01 3.157524e-01 0 7.127023e-01
## 2508 5 13 14 5.6778551 1.184568e-01 7.731457e-01 0 2.368641e-01
## 2509 5 13 14 7.0417427 6.380096e-01 3.062028e-01 0 6.162483e-01
## 2510 5 13 14 5.3888170 1.152852e-01 7.493552e-01 0 3.522843e-01
## 2511 5 13 14 6.9586907 1.137565e-02 1.313241e-01 0 5.625286e-01
## 2512 5 13 14 6.2909715 1.176848e-01 1.498193e-01 0 5.619390e-01
## 2513 5 13 14 2.3905795 4.656435e-01 3.617028e-01 0 6.605838e-01
## 2514 5 13 14 5.2768192 1.084896e-01 6.167486e-01 0 5.696974e-01
## 2515 5 13 14 5.5985338 8.439872e-01 6.039690e-01 0 1.786105e-01
## 2516 5 13 14 11.3687865 6.327286e-02 9.670049e-01 0 9.688303e-02
## 2517 5 13 14 4.2484911 9.497940e-02 3.573171e-01 0 2.922896e-01
## 2518 5 13 14 5.6899710 1.118346e-01 6.770726e-01 0 3.875471e-01
## 2519 5 13 14 2.6415826 5.033853e-02 2.825850e-01 0 9.107740e-01
## 2520 5 13 14 4.3567323 1.130999e-01 8.920376e-01 0 7.042112e-01
## 2521 5 13 14 2.4999640 9.430307e-01 1.757054e-01 0 1.347380e-01
## 2522 5 13 14 29.8039542 9.194529e-02 4.466614e-01 0 6.664896e-02
## 2523 5 13 14 6.0957801 2.773653e-01 7.274115e-01 0 4.256351e-01
## 2524 5 13 14 4.3252573 1.218913e-01 7.456547e-01 0 6.300586e-01
## 2525 5 13 14 3.1466512 6.828148e-01 1.167288e-01 0 3.638910e-01
## 2526 5 13 14 7.9419426 1.167065e-01 4.174139e-01 0 2.702945e-01
## 2527 5 13 14 4.3383235 5.540318e-01 5.101099e-01 0 7.912381e-03
## 2528 5 13 14 19.0102117 8.796614e-02 7.014956e-01 0 6.851771e-02
## 2529 5 13 14 4.0052069 3.289639e-01 5.646942e-02 0 4.711691e-01
## 2530 5 13 14 5.3397221 1.094968e-01 4.754220e-02 0 7.628897e-01
## 2531 5 13 14 5.3897666 2.342883e-02 1.454061e-01 0 7.601347e-01
## 2532 5 13 14 5.3214675 1.110880e-01 5.840885e-01 0 5.391728e-01
## 2533 5 13 14 3.8230279 4.075734e-02 7.073486e-02 0 3.635820e-01
## 2534 5 13 14 9.1645302 1.127179e-01 2.568358e-01 0 2.979895e-01
## 2535 5 13 14 3.1070093 7.812306e-01 7.087948e-01 0 6.000783e-01
## 2536 5 13 14 5.0918530 1.227972e-01 9.114240e-01 0 2.011508e-01
## 2537 5 13 14 5.1700824 5.817227e-01 8.473241e-01 0 4.967064e-01
## 2538 5 13 14 4.8527184 1.156745e-01 7.330547e-01 0 5.518192e-01
## 2539 5 13 14 5.2439915 4.764211e-01 6.487155e-01 0 7.093396e-01
## 2540 5 13 14 4.6185539 1.196560e-01 9.258971e-01 0 3.482089e-01
## 2541 5 13 14 6.5688524 5.622705e-01 1.117067e-02 0 3.589121e-01
## 2542 5 13 14 9.2214028 1.152150e-01 4.304607e-03 0 4.365434e-01
## 2543 5 13 14 5.9773281 4.969859e-03 4.842148e-01 0 7.442336e-01
## 2544 5 13 14 5.0340288 1.165562e-01 8.771355e-01 0 3.468033e-01
## 2545 5 13 14 5.1444056 8.349385e-01 5.488463e-01 0 2.561919e-02
## 2546 5 13 14 24.2025922 8.956240e-02 5.428380e-01 0 6.710373e-02
## 2547 5 13 14 2.2751188 8.719776e-01 1.753851e-01 0 3.326275e-01
## 2548 5 13 14 5.1778041 1.110855e-01 7.226130e-01 0 4.495698e-01
## 2549 5 13 14 7.7769506 4.057234e-01 4.456325e-01 0 2.938877e-01
## 2550 5 13 14 4.5950218 1.139248e-01 4.327406e-01 0 7.487913e-01
## 2551 5 13 14 7.6478020 4.862021e-01 2.430212e-01 0 4.099172e-01
## 2552 5 13 14 5.4979787 1.172953e-01 5.217398e-01 0 4.700111e-01
## 2553 5 13 14 3.7919840 4.438032e-01 8.177755e-01 0 3.651483e-01
## 2554 5 13 14 4.3023105 1.038212e-01 7.195330e-01 0 9.316981e-01
## 2555 5 13 14 6.2025896 6.859493e-01 3.537695e-01 0 6.323742e-01
## 2556 5 13 14 4.6112651 1.150413e-01 7.845898e-01 0 5.565879e-01
## 2557 5 13 14 5.6646008 6.030764e-01 8.771517e-01 0 6.174676e-01
## 2558 5 13 14 4.5204409 1.113408e-01 9.331123e-01 0 5.898017e-01
## 2559 5 13 14 5.1714044 7.381656e-02 1.149970e-01 0 9.435103e-02
## 2560 5 13 14 10.0316863 1.159485e-01 2.180987e-01 0 2.750271e-01
## 2561 5 13 14 5.1462591 7.182054e-01 3.468588e-01 0 6.672861e-01
## 2562 5 13 14 31.0238796 7.460143e-02 3.579254e-01 0 7.486850e-02
## 2563 5 13 14 5.2981764 1.177319e-01 9.179190e-01 0 2.170263e-01
## 2564 5 13 14 4.9278212 9.016610e-02 7.937501e-01 0 9.607603e-01
## 2565 5 13 14 3.1259649 4.366501e-01 3.732901e-01 0 3.712551e-01
## 2566 5 13 14 6.0335581 1.209355e-01 6.244543e-01 0 2.696606e-01
## 2567 5 13 14 3.0496707 3.167058e-01 5.165632e-01 0 3.004329e-01
## 2568 5 13 14 4.6978146 1.245097e-01 7.796217e-01 0 4.368277e-01
## 2569 5 13 14 5.5896306 6.303386e-01 7.205638e-01 0 3.546221e-01
## 2570 5 13 14 21.9208492 9.151791e-02 5.912934e-01 0 6.717154e-02
## 2571 5 13 14 6.6703420 8.295649e-02 8.296270e-01 0 9.951962e-01
## 2572 5 13 14 5.5220944 7.360409e-02 7.847898e-01 0 9.973540e-01
## 2573 5 13 14 3.3497211 6.727458e-01 7.055205e-02 0 6.036633e-01
## 2574 5 13 14 6.0590560 1.146805e-01 5.299712e-01 0 4.085859e-01
## 2575 5 13 14 7.1709377 2.553349e-01 1.043685e-02 0 4.163428e-01
## 2576 5 13 14 8.9922061 1.205067e-01 1.192345e-02 0 4.299380e-01
## 2577 5 13 14 2.4899108 6.564125e-02 3.373763e-01 0 9.671886e-01
## 2578 5 13 14 4.9225322 1.110905e-01 7.830236e-01 0 4.659342e-01
## 2579 5 13 14 4.8730588 9.769211e-01 4.953625e-01 0 2.456091e-01
## 2580 5 13 14 7.7076474 8.203140e-01 7.608929e-01 0 1.317879e-01
## 2581 5 13 14 5.1089509 4.146070e-01 5.835098e-01 0 3.790216e-01
## 2582 5 13 14 4.5388047 1.178134e-01 9.716275e-01 0 3.264345e-01
## 2583 5 13 14 6.2956672 5.724656e-02 4.371867e-01 0 8.875719e-01
## 2584 5 13 14 4.4566742 1.195119e-01 8.089379e-01 0 5.929067e-01
## 2585 5 13 14 4.0054772 6.052669e-01 5.570115e-01 0 9.767063e-01
## 2586 5 13 14 4.1035831 1.110138e-01 7.764591e-01 0 9.647515e-01
## 2587 5 13 14 2.3351236 1.584808e-02 9.261116e-01 0 3.308205e-02
## 2588 5 13 14 4.1328021 1.158269e-01 9.794971e-01 0 6.563478e-01
## 2589 5 13 14 7.4191600 1.212930e-01 3.339242e-01 0 3.560558e-01
## 2590 5 13 14 4.3703660 1.006387e-01 3.485130e-01 0 9.920893e-01
## 2591 5 13 14 2.5487364 5.229818e-01 9.506544e-02 0 5.025745e-01
## 2592 5 13 14 22.7598333 3.597284e-02 5.017808e-01 0 2.124606e-01
## 2593 5 13 14 2.1511679 4.936440e-01 6.876340e-01 0 2.485562e-01
## 2594 5 13 14 5.1405477 1.175974e-01 8.954435e-01 0 2.702955e-01
## 2595 5 13 14 7.0241278 9.564163e-01 3.876123e-01 0 8.502846e-03
## 2596 5 13 14 16.7505450 9.150085e-02 8.419114e-01 0 7.215573e-02
## 2597 5 13 14 2.6411576 8.595607e-01 2.111972e-01 0 7.520495e-01
## 2598 5 13 14 7.1498150 1.078838e-01 3.877079e-01 0 4.048850e-01
## 2599 5 13 14 7.3076041 8.911633e-01 3.606701e-01 0 8.123371e-01
## 2600 5 13 14 89.2735920 9.630659e-02 9.794649e-02 0 7.235693e-02
## 2601 5 13 14 3.8550270 4.372063e-01 6.699543e-01 0 1.714440e-01
## 2602 5 13 14 4.4746110 1.226274e-01 9.322227e-01 0 4.015989e-01
## 2603 5 13 14 3.9159683 9.228187e-01 9.701712e-01 0 9.136250e-01
## 2604 5 13 14 5.5951641 1.231725e-01 6.554533e-01 0 2.815582e-01
## 2605 5 13 14 5.3258029 5.597727e-01 5.678346e-01 0 2.137620e-01
## 2606 5 13 14 5.3040997 1.221484e-01 7.853982e-01 0 3.394357e-01
## 2607 5 13 14 5.7701601 1.677212e-01 8.903366e-03 0 2.285507e-01
## 2608 5 13 14 8.9904430 1.137236e-01 1.062985e-02 0 4.507147e-01
## 2609 5 13 14 3.1501692 8.606105e-01 7.886370e-01 0 1.618876e-01
## 2610 5 13 14 5.0058100 1.218196e-01 8.684498e-01 0 2.685731e-01
## 2611 5 13 14 3.0448532 5.501215e-01 5.523510e-01 0 8.882950e-01
## 2612 5 13 14 3.9557253 1.134627e-01 5.879416e-01 0 9.860574e-01
## 2613 5 13 14 4.3489217 9.407419e-01 3.651153e-01 0 9.322407e-01
## 2614 5 13 14 5.3665198 1.162211e-01 4.664313e-01 0 5.469828e-01
## 2615 5 13 14 5.8004885 6.131866e-01 3.027613e-01 0 1.393531e-01
## 2616 5 13 14 21.9939246 4.463036e-02 3.458882e-01 0 2.377650e-01
## 2617 5 13 14 7.3587519 7.953353e-01 1.383393e-01 0 3.366986e-02
## 2618 5 13 14 21.6258603 3.814057e-02 4.000315e-01 0 3.484385e-01
## 2619 5 13 14 3.3501671 9.257461e-01 3.056233e-01 0 2.255421e-01
## 2620 5 13 14 7.1540720 1.137710e-01 4.483467e-01 0 3.075160e-01
## 2621 5 13 14 2.8666295 1.227175e-02 6.597159e-01 0 8.601859e-01
## 2622 5 13 14 17.5680545 3.599782e-02 6.044686e-01 0 3.644976e-01
## 2623 5 13 14 6.0729283 7.301576e-01 3.393017e-01 0 9.159191e-01
## 2624 5 13 14 6.9715610 1.225817e-01 5.327793e-01 0 2.299199e-01
## 2625 5 13 14 4.9101877 6.292041e-01 7.786628e-01 0 3.154739e-01
## 2626 5 13 14 5.6532099 1.156894e-01 8.170109e-01 0 2.663338e-01
## 2627 5 13 14 4.4072209 8.486883e-01 2.893393e-01 0 3.550019e-01
## 2628 5 13 14 6.7911400 1.171072e-01 4.590050e-01 0 3.331962e-01
## 2629 5 13 14 7.9359613 4.616156e-01 1.371761e-01 0 2.284370e-01
## 2630 5 13 14 6.3330360 1.113456e-01 4.417895e-01 0 4.388178e-01
## 2631 5 13 14 5.1794768 6.836026e-02 1.128620e-01 0 2.854533e-01
## 2632 5 13 14 5.5514277 1.254325e-01 7.591107e-01 0 2.319298e-01
## 2633 5 13 14 3.1422677 2.523943e-01 3.649513e-01 0 7.106865e-01
## 2634 5 13 14 3.9299717 1.177295e-01 8.802725e-01 0 8.673573e-01
## 2635 5 13 14 5.2181503 2.353922e-01 8.431007e-01 0 6.078140e-01
## 2636 5 13 14 4.5826371 1.063526e-01 9.019100e-01 0 7.053272e-01
## 2637 5 13 14 5.2193828 4.350770e-01 7.419460e-01 0 2.939645e-01
## 2638 5 13 14 4.9037066 1.098338e-01 7.383398e-01 0 5.501868e-01
## 2639 5 13 14 4.6447498 3.299747e-01 2.375269e-01 0 1.031433e-01
## 2640 5 13 14 5.6745722 1.194925e-01 4.900441e-01 0 4.356509e-01
## 2641 5 13 14 5.2493961 2.493319e-01 8.175574e-01 0 9.841129e-01
## 2642 5 13 14 2.7921906 1.640666e-01 6.265045e-01 0 9.736891e-01
## 2643 5 13 14 5.0992782 7.615933e-01 8.313348e-01 0 7.285205e-01
## 2644 5 13 14 16.0548583 9.668090e-02 7.756187e-01 0 6.490613e-02
## 2645 5 13 14 5.5016689 9.607678e-01 9.468298e-01 0 2.541656e-01
## 2646 5 13 14 18.1473022 1.079061e-01 6.579432e-01 0 6.415937e-02
## 2647 5 13 14 6.6884488 8.168102e-01 8.170731e-01 0 5.918258e-01
## 2648 5 13 14 22.1261459 8.175160e-02 6.394184e-01 0 6.959415e-02
## 2649 5 13 14 4.3151611 9.789147e-01 6.934553e-01 0 6.267657e-01
## 2650 5 13 14 6.1272594 9.904498e-01 8.586248e-01 0 1.969368e-01
## 2651 5 13 14 3.5368888 1.489090e-01 7.976427e-01 0 1.290015e-01
## 2652 5 13 14 5.4582867 1.170167e-01 7.928514e-01 0 3.244094e-01
## 2653 5 13 14 2.4916522 7.063806e-01 3.048294e-01 0 5.415833e-02
## 2654 5 13 14 6.3518465 1.112662e-01 6.615918e-01 0 2.771495e-01
## 2655 5 13 14 3.2285242 9.292376e-01 9.089713e-01 0 8.880692e-01
## 2656 5 13 14 4.5384116 1.149384e-01 8.804228e-01 0 5.168252e-01
## 2657 5 13 14 4.3160438 2.280892e-01 5.161626e-01 0 6.751932e-01
## 2658 5 13 14 4.9571633 1.064228e-01 4.629898e-01 0 7.461584e-01
## 2659 5 13 14 5.7572275 8.712163e-01 8.317515e-01 0 8.856927e-01
## 2660 5 13 14 4.5171238 1.198947e-01 9.815275e-01 0 3.049145e-01
## 2661 5 13 14 2.5662127 9.342272e-02 5.577309e-02 0 1.474450e-01
## 2662 5 13 14 5.2317069 8.744522e-02 8.471671e-03 0 9.876855e-01
## 2663 5 13 14 5.8326387 2.904875e-01 1.165385e-01 0 9.819678e-01
## 2664 5 13 14 7.0187500 1.140445e-01 4.580461e-01 0 3.324989e-01
## 2665 5 13 14 6.1315711 2.751872e-01 1.982437e-01 0 8.023355e-01
## 2666 5 13 14 5.7457453 1.101098e-01 5.187875e-01 0 5.091947e-01
## 2667 5 13 14 4.8754138 3.359971e-01 1.078135e-01 0 3.670299e-01
## 2668 5 13 14 7.5231853 1.139151e-01 2.330031e-01 0 4.366219e-01
## 2669 5 13 14 3.4669953 2.258901e-02 8.090931e-01 0 8.019840e-02
## 2670 5 13 14 5.0029661 1.149334e-01 7.724709e-01 0 4.303719e-01
## 2671 5 13 14 6.2592897 6.548856e-01 5.183854e-01 0 7.595642e-01
## 2672 5 13 14 7.1903774 1.197280e-01 4.035284e-01 0 3.304260e-01
## 2673 5 13 14 6.1902851 7.535339e-01 4.064480e-01 0 9.985236e-02
## 2674 5 13 14 20.5440734 7.236117e-02 5.140847e-01 0 9.197625e-02
## 2675 5 13 14 5.5592768 3.880648e-01 5.737159e-01 0 8.584409e-01
## 2676 5 13 14 8.2285280 1.267133e-01 4.520571e-01 0 1.737748e-01
## 2677 5 13 14 7.6047101 6.117577e-02 3.727664e-01 0 8.804871e-01
## 2678 5 13 14 13.6304739 5.140051e-02 1.622378e-01 0 7.507704e-01
## 2679 5 13 14 6.4696051 7.453837e-01 7.876995e-01 0 5.964885e-01
## 2680 5 13 14 7.0185727 6.750794e-02 6.370731e-01 0 9.698685e-01
## 2681 5 13 14 4.4316828 1.613219e-01 7.047407e-01 0 2.497059e-01
## 2682 5 13 14 5.7127161 1.218492e-01 6.153946e-01 0 3.548899e-01
## 2683 5 13 14 4.9561511 8.152792e-01 6.641900e-01 0 1.262021e-01
## 2684 5 13 14 17.4078322 5.918106e-02 7.924252e-01 0 9.008299e-02
## 2685 5 13 14 5.0779853 9.361892e-01 7.762483e-01 0 3.207133e-01
## 2686 5 13 14 17.0096152 9.908749e-02 7.659113e-01 0 6.628388e-02
## 2687 5 13 14 3.5150576 9.370016e-01 5.186745e-01 0 6.594449e-01
## 2688 5 13 14 12.8439678 5.119734e-02 9.083850e-01 0 1.268160e-01
## 2689 5 13 14 4.4423697 8.256003e-02 5.188087e-01 0 4.670262e-01
## 2690 5 13 14 5.5784441 8.013236e-02 4.787395e-01 0 9.821198e-01
## 2691 5 13 14 3.8625566 4.261308e-02 1.599878e-01 0 3.077433e-01
## 2692 5 13 14 6.2113719 1.211133e-01 4.310024e-01 0 4.010395e-01
## 2693 5 13 14 6.0717513 9.542233e-01 5.525574e-01 0 3.961467e-01
## 2694 5 13 14 19.2260955 9.878339e-02 6.864286e-01 0 6.968248e-02
## 2695 5 13 14 5.2315600 5.240674e-01 5.223726e-01 0 4.976805e-01
## 2696 5 13 14 4.3489874 1.182040e-01 7.869073e-01 0 6.992862e-01
## 2697 5 13 14 3.3367969 5.681921e-01 4.503950e-02 0 5.056162e-01
## 2698 5 13 14 7.0333875 1.072413e-01 1.572263e-01 0 5.310926e-01
## 2699 5 13 14 5.0910631 6.862781e-01 1.237232e-01 0 7.998375e-01
## 2700 5 13 14 9.1318612 1.176665e-01 2.985797e-01 0 2.697649e-01
## 2701 5 13 14 6.3745052 4.081965e-01 9.709040e-01 0 4.885648e-01
## 2702 5 13 14 4.3490799 1.143277e-01 9.821095e-01 0 5.455081e-01
## p_H_cond_S phi_E phi_U phi_S h_V gamma N_0 E_0
## 1 0.37355171 1.09 1.09 0.2 0.125 0.46082192 8e+06 5.030176e+03
## 2 0.61991072 1.09 1.09 0.2 0.125 2.91156228 8e+06 7.142424e+03
## 3 0.22452204 1.09 1.09 0.2 0.125 0.53354744 8e+06 1.362967e+04
## 4 0.17674046 1.09 1.09 0.2 0.125 17.39485475 8e+06 2.252890e+04
## 5 0.26280080 1.09 1.09 0.2 0.125 0.46604179 8e+06 9.589921e+03
## 6 0.15519971 1.09 1.09 0.2 0.125 4.81849490 8e+06 1.426469e+04
## 7 0.35930796 1.09 1.09 0.2 0.125 0.74660000 8e+06 1.351483e+04
## 8 0.16690075 1.09 1.09 0.2 0.125 4.59670415 8e+06 1.813469e+04
## 9 0.15965069 1.09 1.09 0.2 0.125 0.40192660 8e+06 3.793691e+03
## 10 0.11689188 1.09 1.09 0.2 0.125 13.56877298 8e+06 6.737334e+03
## 11 0.33824255 1.09 1.09 0.2 0.125 0.97790860 8e+06 5.479808e+02
## 12 0.10257370 1.09 1.09 0.2 0.125 5.22912568 8e+06 4.983070e+02
## 13 0.05123793 1.09 1.09 0.2 0.125 0.31430020 8e+06 4.001889e+03
## 14 0.68268382 1.09 1.09 0.2 0.125 4.70967834 8e+06 5.588179e+03
## 15 0.33323694 1.09 1.09 0.2 0.125 0.79956685 8e+06 8.975800e+03
## 16 0.58043531 1.09 1.09 0.2 0.125 1.42977270 8e+06 1.395107e+04
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## 491 0.14325737 1.09 1.09 0.2 0.125 0.96842686 8e+06 3.902063e+03
## 492 0.53453869 1.09 1.09 0.2 0.125 4.85565550 8e+06 5.196156e+03
## 493 0.07733241 1.09 1.09 0.2 0.125 0.64332400 8e+06 1.349648e+04
## 494 0.13832636 1.09 1.09 0.2 0.125 4.07671424 8e+06 1.302788e+04
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## 496 0.10581881 1.09 1.09 0.2 0.125 5.24090969 8e+06 4.111262e+02
## 497 0.27278272 1.09 1.09 0.2 0.125 0.32864480 8e+06 1.727459e+04
## 498 0.14859458 1.09 1.09 0.2 0.125 14.91022338 8e+06 1.294813e+04
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## 500 0.55895299 1.09 1.09 0.2 0.125 1.23685751 8e+06 1.714504e+04
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## 502 0.16915814 1.09 1.09 0.2 0.125 5.61321719 8e+06 1.853930e+04
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## 505 0.28341794 1.09 1.09 0.2 0.125 0.68498109 8e+06 1.330475e+04
## 506 0.19251873 1.09 1.09 0.2 0.125 6.03996392 8e+06 2.002491e+04
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## 508 0.16734623 1.09 1.09 0.2 0.125 23.97608980 8e+06 1.971481e+03
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## 511 0.25407973 1.09 1.09 0.2 0.125 0.40748008 8e+06 1.914640e+04
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## 513 0.26310592 1.09 1.09 0.2 0.125 0.79647571 8e+06 4.109772e+03
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## 515 0.10717337 1.09 1.09 0.2 0.125 0.65795979 8e+06 3.209899e+03
## 516 0.11604808 1.09 1.09 0.2 0.125 9.71830076 8e+06 4.744173e+03
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## 518 0.14144757 1.09 1.09 0.2 0.125 1.70755398 8e+06 2.547780e+04
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## 520 0.58712412 1.09 1.09 0.2 0.125 6.53884916 8e+06 3.642983e+04
## 521 0.27393846 1.09 1.09 0.2 0.125 0.49848718 8e+06 1.183921e+04
## 522 0.14872772 1.09 1.09 0.2 0.125 4.50937285 8e+06 2.320193e+04
## 523 0.19874200 1.09 1.09 0.2 0.125 0.69693776 8e+06 1.552807e+03
## 524 0.53460216 1.09 1.09 0.2 0.125 9.55346340 8e+06 1.761330e+03
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## 526 0.51008743 1.09 1.09 0.2 0.125 3.26724520 8e+06 9.055322e+02
## 527 0.23074839 1.09 1.09 0.2 0.125 0.66850093 8e+06 1.127987e+04
## 528 0.25884252 1.09 1.09 0.2 0.125 6.20476359 8e+06 8.537603e+03
## 529 0.31595268 1.09 1.09 0.2 0.125 0.88302990 8e+06 1.662384e+04
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## 531 0.15033181 1.09 1.09 0.2 0.125 0.82673441 8e+06 8.603175e+03
## 532 0.56969473 1.09 1.09 0.2 0.125 1.87967769 8e+06 1.631112e+04
## 533 0.25841049 1.09 1.09 0.2 0.125 0.86875333 8e+06 1.829083e+04
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## 536 0.51073117 1.09 1.09 0.2 0.125 1.34627609 8e+06 8.568493e+02
## 537 0.21510413 1.09 1.09 0.2 0.125 0.21109449 8e+06 1.596369e+04
## 538 0.16080875 1.09 1.09 0.2 0.125 9.10371702 8e+06 3.086318e+04
## 539 0.33142647 1.09 1.09 0.2 0.125 0.72126271 8e+06 1.191901e+04
## 540 0.14516194 1.09 1.09 0.2 0.125 8.39976873 8e+06 1.988447e+04
## 541 0.10919602 1.09 1.09 0.2 0.125 0.98368175 8e+06 1.473425e+04
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## 561 0.29908945 1.09 1.09 0.2 0.125 0.60421539 8e+06 1.891683e+04
## 562 0.17117871 1.09 1.09 0.2 0.125 5.72134356 8e+06 3.536600e+04
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## 565 0.25597908 1.09 1.09 0.2 0.125 0.42032704 8e+06 1.723223e+04
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## 586 0.54720304 1.09 1.09 0.2 0.125 12.16156749 8e+06 9.035291e+03
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## 588 0.14520526 1.09 1.09 0.2 0.125 2.25715327 8e+06 1.797597e+04
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## 616 0.54391439 1.09 1.09 0.2 0.125 2.83822181 8e+06 4.673425e+03
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## 619 0.23907906 1.09 1.09 0.2 0.125 0.46198863 8e+06 1.159508e+04
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## 622 0.11842193 1.09 1.09 0.2 0.125 2.59416855 8e+06 3.910171e+03
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## 625 0.25611991 1.09 1.09 0.2 0.125 0.52970050 8e+06 5.713838e+03
## 626 0.11329069 1.09 1.09 0.2 0.125 5.10208325 8e+06 9.499664e+03
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## 628 0.21431802 1.09 1.09 0.2 0.125 18.43156155 8e+06 1.525289e+04
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## 631 0.11495893 1.09 1.09 0.2 0.125 0.93295284 8e+06 1.515191e+04
## 632 0.15205337 1.09 1.09 0.2 0.125 5.44048968 8e+06 2.681861e+04
## 633 0.31417355 1.09 1.09 0.2 0.125 0.62464124 8e+06 1.506237e+03
## 634 0.10816226 1.09 1.09 0.2 0.125 24.38690937 8e+06 1.979018e+03
## 635 0.21589767 1.09 1.09 0.2 0.125 0.41428838 8e+06 5.233812e+03
## 636 0.12083150 1.09 1.09 0.2 0.125 17.05957201 8e+06 9.964849e+03
## 637 0.30805353 1.09 1.09 0.2 0.125 0.84909114 8e+06 1.036746e+04
## 638 0.33479638 1.09 1.09 0.2 0.125 2.88932659 8e+06 9.448447e+03
## 639 0.33015167 1.09 1.09 0.2 0.125 0.25025146 8e+06 4.975576e+03
## 640 0.13657975 1.09 1.09 0.2 0.125 3.74662023 8e+06 8.411743e+03
## 641 0.15924624 1.09 1.09 0.2 0.125 0.62755506 8e+06 1.737973e+04
## 642 0.17906739 1.09 1.09 0.2 0.125 11.96265158 8e+06 2.960753e+04
## 643 0.36211857 1.09 1.09 0.2 0.125 0.47109575 8e+06 1.670953e+04
## 644 0.15257909 1.09 1.09 0.2 0.125 5.35885871 8e+06 2.853931e+04
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## 1000 0.55409824 1.09 1.09 0.2 0.125 2.08730667 8e+06 6.311503e+03
## 1001 0.20817291 1.09 1.09 0.2 0.125 0.59853987 8e+06 6.556103e+03
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## 1003 0.26828226 1.09 1.09 0.2 0.125 0.54468555 8e+06 9.335875e+03
## 1004 0.08615907 1.09 1.09 0.2 0.125 13.42187671 8e+06 1.037135e+04
## 1005 0.30920532 1.09 1.09 0.2 0.125 0.54021871 8e+06 1.736546e+04
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## 1008 0.21049605 1.09 1.09 0.2 0.125 5.39727841 8e+06 1.248394e+04
## 1009 0.18284238 1.09 1.09 0.2 0.125 0.81522666 8e+06 6.298018e+03
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## 1024 0.63315576 1.09 1.09 0.2 0.125 4.45780541 8e+06 8.627111e+03
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## 1055 0.06267375 1.09 1.09 0.2 0.125 0.79612067 8e+06 1.261325e+04
## 1056 0.56039186 1.09 1.09 0.2 0.125 2.09742206 8e+06 1.358469e+04
## 1057 0.10441169 1.09 1.09 0.2 0.125 0.85799930 8e+06 3.800524e+03
## 1058 0.64909630 1.09 1.09 0.2 0.125 2.13566150 8e+06 5.110129e+03
## 1059 0.19980423 1.09 1.09 0.2 0.125 0.95134143 8e+06 9.427029e+03
## 1060 0.14709348 1.09 1.09 0.2 0.125 9.85802929 8e+06 1.706827e+04
## 1061 0.23401326 1.09 1.09 0.2 0.125 0.36628243 8e+06 1.461540e+04
## 1062 0.20155267 1.09 1.09 0.2 0.125 8.25899953 8e+06 2.330610e+04
## 1063 0.11308569 1.09 1.09 0.2 0.125 0.28391749 8e+06 8.858267e+03
## 1064 0.14275509 1.09 1.09 0.2 0.125 8.92312162 8e+06 1.613397e+04
## 1065 0.17941953 1.09 1.09 0.2 0.125 0.25392944 8e+06 7.528037e+03
## 1066 0.13686191 1.09 1.09 0.2 0.125 6.43822905 8e+06 1.409365e+04
## 1067 0.22133132 1.09 1.09 0.2 0.125 0.33766511 8e+06 1.165890e+04
## 1068 0.17599464 1.09 1.09 0.2 0.125 8.28645228 8e+06 1.692600e+04
## 1069 0.05128913 1.09 1.09 0.2 0.125 0.60102093 8e+06 1.734456e+03
## 1070 0.07824418 1.09 1.09 0.2 0.125 1.34693663 8e+06 1.507419e+03
## 1071 0.37755603 1.09 1.09 0.2 0.125 0.68907964 8e+06 1.968459e+03
## 1072 0.12141188 1.09 1.09 0.2 0.125 5.93798506 8e+06 3.146739e+03
## 1073 0.06443357 1.09 1.09 0.2 0.125 0.39472405 8e+06 9.529555e+03
## 1074 0.12444348 1.09 1.09 0.2 0.125 16.48820055 8e+06 1.469513e+04
## 1075 0.29170231 1.09 1.09 0.2 0.125 0.77957170 8e+06 3.766169e+03
## 1076 0.24183399 1.09 1.09 0.2 0.125 2.68521469 8e+06 6.597286e+03
## 1077 0.10684375 1.09 1.09 0.2 0.125 0.22748119 8e+06 1.532959e+04
## 1078 0.58369034 1.09 1.09 0.2 0.125 8.10661274 8e+06 2.542369e+04
## 1079 0.29329894 1.09 1.09 0.2 0.125 0.58651989 8e+06 2.537371e+03
## 1080 0.11238562 1.09 1.09 0.2 0.125 6.27341316 8e+06 3.519891e+03
## 1081 0.22463861 1.09 1.09 0.2 0.125 0.39397167 8e+06 1.423292e+04
## 1082 0.14765408 1.09 1.09 0.2 0.125 12.48212363 8e+06 2.199366e+04
## 1083 0.07612310 1.09 1.09 0.2 0.125 0.66652096 8e+06 6.860235e+03
## 1084 0.14339441 1.09 1.09 0.2 0.125 14.51614030 8e+06 1.320124e+04
## 1085 0.38662659 1.09 1.09 0.2 0.125 0.78106935 8e+06 2.107564e+03
## 1086 0.51259206 1.09 1.09 0.2 0.125 1.83669991 8e+06 2.315092e+03
## 1087 0.09411271 1.09 1.09 0.2 0.125 0.44515284 8e+06 1.150972e+04
## 1088 0.16717423 1.09 1.09 0.2 0.125 6.82775280 8e+06 1.492976e+04
## 1089 0.35423405 1.09 1.09 0.2 0.125 0.52674170 8e+06 1.939907e+04
## 1090 0.17472458 1.09 1.09 0.2 0.125 7.17654432 8e+06 3.527744e+04
## 1091 0.24150697 1.09 1.09 0.2 0.125 0.95866289 8e+06 1.380131e+04
## 1092 0.18082883 1.09 1.09 0.2 0.125 9.98240838 8e+06 1.963813e+04
## 1093 0.25631700 1.09 1.09 0.2 0.125 0.98477109 8e+06 5.154971e+03
## 1094 0.13142020 1.09 1.09 0.2 0.125 2.76326367 8e+06 9.329881e+03
## 1095 0.21162365 1.09 1.09 0.2 0.125 0.52734288 8e+06 1.362495e+04
## 1096 0.10833899 1.09 1.09 0.2 0.125 10.52468712 8e+06 1.023887e+04
## 1097 0.37786585 1.09 1.09 0.2 0.125 0.73007958 8e+06 8.122542e+03
## 1098 0.56200945 1.09 1.09 0.2 0.125 4.19635658 8e+06 1.358665e+04
## 1099 0.16672155 1.09 1.09 0.2 0.125 0.56246260 8e+06 1.776060e+04
## 1100 0.75473944 1.09 1.09 0.2 0.125 4.96885423 8e+06 2.794036e+04
## 1101 0.09347036 1.09 1.09 0.2 0.125 0.70638134 8e+06 1.561116e+04
## 1102 0.20555608 1.09 1.09 0.2 0.125 8.32115276 8e+06 1.852533e+04
## 1103 0.28562093 1.09 1.09 0.2 0.125 0.49478796 8e+06 5.281042e+00
## 1104 0.10136559 1.09 1.09 0.2 0.125 4.59215593 8e+06 6.244298e+00
## 1105 0.28391686 1.09 1.09 0.2 0.125 0.47288786 8e+06 1.377584e+04
## 1106 0.29998504 1.09 1.09 0.2 0.125 7.57449368 8e+06 8.967862e+03
## 1107 0.13318413 1.09 1.09 0.2 0.125 0.86512995 8e+06 3.817909e+03
## 1108 0.13744990 1.09 1.09 0.2 0.125 10.14536924 8e+06 6.227200e+03
## 1109 0.28835037 1.09 1.09 0.2 0.125 0.40885729 8e+06 1.859325e+02
## 1110 0.61504787 1.09 1.09 0.2 0.125 2.74683382 8e+06 2.253744e+02
## 1111 0.18239142 1.09 1.09 0.2 0.125 0.22062532 8e+06 1.323099e+04
## 1112 0.58746321 1.09 1.09 0.2 0.125 3.51051502 8e+06 2.218399e+04
## 1113 0.36581654 1.09 1.09 0.2 0.125 0.25833716 8e+06 1.195574e+04
## 1114 0.16343643 1.09 1.09 0.2 0.125 3.92443111 8e+06 2.002098e+04
## 1115 0.34060513 1.09 1.09 0.2 0.125 0.91266913 8e+06 2.973843e+03
## 1116 0.64368434 1.09 1.09 0.2 0.125 2.93538037 8e+06 3.677266e+03
## 1117 0.13136073 1.09 1.09 0.2 0.125 0.73709743 8e+06 1.441264e+04
## 1118 0.19548893 1.09 1.09 0.2 0.125 4.64817203 8e+06 1.575994e+04
## 1119 0.33275561 1.09 1.09 0.2 0.125 0.56900881 8e+06 1.592225e+04
## 1120 0.14875564 1.09 1.09 0.2 0.125 4.42393577 8e+06 2.231604e+04
## 1121 0.29403942 1.09 1.09 0.2 0.125 0.87130350 8e+06 1.753609e+04
## 1122 0.20036522 1.09 1.09 0.2 0.125 5.72328695 8e+06 2.801721e+04
## 1123 0.28671855 1.09 1.09 0.2 0.125 0.88708770 8e+06 2.888897e+02
## 1124 0.11225847 1.09 1.09 0.2 0.125 9.09956546 8e+06 4.031081e+02
## 1125 0.31709538 1.09 1.09 0.2 0.125 0.78479865 8e+06 7.274423e+03
## 1126 0.12763468 1.09 1.09 0.2 0.125 5.30599289 8e+06 1.182396e+04
## 1127 0.13809604 1.09 1.09 0.2 0.125 0.53244517 8e+06 1.455118e+03
## 1128 0.52968122 1.09 1.09 0.2 0.125 1.58535659 8e+06 1.458413e+03
## 1129 0.17078334 1.09 1.09 0.2 0.125 0.37319012 8e+06 8.933150e+03
## 1130 0.16229480 1.09 1.09 0.2 0.125 4.02924027 8e+06 1.547520e+04
## 1131 0.29892913 1.09 1.09 0.2 0.125 0.98176304 8e+06 1.977179e+04
## 1132 0.15239775 1.09 1.09 0.2 0.125 5.38432430 8e+06 2.909672e+04
## 1133 0.13535059 1.09 1.09 0.2 0.125 0.31386441 8e+06 8.220287e+03
## 1134 0.05657945 1.09 1.09 0.2 0.125 1.56032870 8e+06 7.697784e+03
## 1135 0.27980737 1.09 1.09 0.2 0.125 0.24741124 8e+06 1.418569e+04
## 1136 0.19181041 1.09 1.09 0.2 0.125 4.49493493 8e+06 2.656933e+04
## 1137 0.19960847 1.09 1.09 0.2 0.125 0.66066939 8e+06 7.314445e+02
## 1138 0.12665656 1.09 1.09 0.2 0.125 2.83497324 8e+06 9.319696e+02
## 1139 0.35984273 1.09 1.09 0.2 0.125 0.24219140 8e+06 7.692365e+02
## 1140 0.11655795 1.09 1.09 0.2 0.125 49.64278646 8e+06 1.025322e+03
## 1141 0.30342506 1.09 1.09 0.2 0.125 0.27580907 8e+06 1.824845e+04
## 1142 0.18358514 1.09 1.09 0.2 0.125 3.95118840 8e+06 2.925760e+04
## 1143 0.11853849 1.09 1.09 0.2 0.125 0.34494369 8e+06 8.290504e+03
## 1144 0.61096195 1.09 1.09 0.2 0.125 2.45282373 8e+06 1.473530e+04
## 1145 0.29703649 1.09 1.09 0.2 0.125 0.69513899 8e+06 3.318146e+02
## 1146 0.50756898 1.09 1.09 0.2 0.125 2.02301322 8e+06 3.136937e+02
## 1147 0.29952753 1.09 1.09 0.2 0.125 0.32660090 8e+06 1.232307e+04
## 1148 0.27290022 1.09 1.09 0.2 0.125 4.67847456 8e+06 9.597739e+03
## 1149 0.07926357 1.09 1.09 0.2 0.125 0.43531462 8e+06 2.507554e+03
## 1150 0.51765801 1.09 1.09 0.2 0.125 1.69213612 8e+06 3.927873e+03
## 1151 0.38927971 1.09 1.09 0.2 0.125 0.90259562 8e+06 1.685310e+04
## 1152 0.14677277 1.09 1.09 0.2 0.125 4.33457124 8e+06 2.902713e+04
## 1153 0.35752685 1.09 1.09 0.2 0.125 0.29490693 8e+06 3.312956e+03
## 1154 0.13370486 1.09 1.09 0.2 0.125 20.96858757 8e+06 5.257489e+03
## 1155 0.39590753 1.09 1.09 0.2 0.125 0.60983242 8e+06 4.152898e+03
## 1156 0.12929199 1.09 1.09 0.2 0.125 4.45876150 8e+06 8.082070e+03
## 1157 0.10767492 1.09 1.09 0.2 0.125 0.24318052 8e+06 5.257357e+03
## 1158 0.05633792 1.09 1.09 0.2 0.125 5.53055654 8e+06 6.043771e+03
## 1159 0.09314933 1.09 1.09 0.2 0.125 0.66594063 8e+06 1.134644e+04
## 1160 0.61386015 1.09 1.09 0.2 0.125 1.30223383 8e+06 2.105509e+04
## 1161 0.35280544 1.09 1.09 0.2 0.125 0.26754877 8e+06 7.523121e+03
## 1162 0.20479801 1.09 1.09 0.2 0.125 9.90180808 8e+06 9.651939e+03
## 1163 0.37023453 1.09 1.09 0.2 0.125 0.33800149 8e+06 1.416825e+04
## 1164 0.16006811 1.09 1.09 0.2 0.125 7.47788026 8e+06 2.137317e+04
## 1165 0.13870989 1.09 1.09 0.2 0.125 0.34569783 8e+06 1.798103e+04
## 1166 0.15507030 1.09 1.09 0.2 0.125 6.79737010 8e+06 3.718142e+04
## 1167 0.24206566 1.09 1.09 0.2 0.125 0.94795324 8e+06 1.243675e+04
## 1168 0.15961131 1.09 1.09 0.2 0.125 23.87872217 8e+06 2.443598e+04
## 1169 0.34276708 1.09 1.09 0.2 0.125 0.21506404 8e+06 1.030813e+03
## 1170 0.10775107 1.09 1.09 0.2 0.125 7.53345731 8e+06 1.156371e+03
## 1171 0.09285498 1.09 1.09 0.2 0.125 0.35908566 8e+06 9.408383e+03
## 1172 0.06828653 1.09 1.09 0.2 0.125 2.71171347 8e+06 1.085309e+04
## 1173 0.35098657 1.09 1.09 0.2 0.125 0.81780229 8e+06 5.543745e+03
## 1174 0.13245743 1.09 1.09 0.2 0.125 9.75966985 8e+06 9.369111e+03
## 1175 0.33128499 1.09 1.09 0.2 0.125 0.33030909 8e+06 1.273718e+04
## 1176 0.14999217 1.09 1.09 0.2 0.125 3.84124988 8e+06 1.981374e+04
## 1177 0.23067636 1.09 1.09 0.2 0.125 0.31827426 8e+06 4.528835e+03
## 1178 0.08417241 1.09 1.09 0.2 0.125 1.31359576 8e+06 8.362580e+03
## 1179 0.26238194 1.09 1.09 0.2 0.125 0.77289130 8e+06 1.025850e+04
## 1180 0.15959422 1.09 1.09 0.2 0.125 13.12306736 8e+06 1.857567e+04
## 1181 0.13490250 1.09 1.09 0.2 0.125 0.52874617 8e+06 9.383212e+03
## 1182 0.57180997 1.09 1.09 0.2 0.125 9.01793003 8e+06 1.699132e+04
## 1183 0.05137189 1.09 1.09 0.2 0.125 0.74928583 8e+06 7.733548e+03
## 1184 0.56479126 1.09 1.09 0.2 0.125 2.27781596 8e+06 1.298429e+04
## 1185 0.34382178 1.09 1.09 0.2 0.125 0.25869348 8e+06 1.972593e+04
## 1186 0.20649160 1.09 1.09 0.2 0.125 5.06876093 8e+06 1.936063e+04
## 1187 0.06564875 1.09 1.09 0.2 0.125 0.84265605 8e+06 8.218622e+02
## 1188 0.48372961 1.09 1.09 0.2 0.125 1.17540014 8e+06 1.080993e+03
## 1189 0.14639593 1.09 1.09 0.2 0.125 0.80240537 8e+06 1.733492e+04
## 1190 0.56380874 1.09 1.09 0.2 0.125 14.45462428 8e+06 2.397811e+04
## 1191 0.32360962 1.09 1.09 0.2 0.125 0.73361188 8e+06 8.886325e+03
## 1192 0.16174361 1.09 1.09 0.2 0.125 6.35217731 8e+06 1.679851e+04
## 1193 0.34541480 1.09 1.09 0.2 0.125 0.23071743 8e+06 5.731562e+03
## 1194 0.19520166 1.09 1.09 0.2 0.125 3.71781401 8e+06 9.359408e+03
## 1195 0.35072673 1.09 1.09 0.2 0.125 0.86453619 8e+06 1.069642e+04
## 1196 0.18610589 1.09 1.09 0.2 0.125 4.89423455 8e+06 1.864440e+04
## 1197 0.09790592 1.09 1.09 0.2 0.125 0.59114217 8e+06 3.689403e+03
## 1198 0.53022185 1.09 1.09 0.2 0.125 2.14225130 8e+06 4.425496e+03
## 1199 0.12622744 1.09 1.09 0.2 0.125 0.76024962 8e+06 5.444540e+03
## 1200 0.10258598 1.09 1.09 0.2 0.125 1.97098160 8e+06 6.109301e+03
## 1201 0.39954369 1.09 1.09 0.2 0.125 0.58386022 8e+06 2.143453e+03
## 1202 0.57679727 1.09 1.09 0.2 0.125 17.89842685 8e+06 2.128226e+03
## 1203 0.06998631 1.09 1.09 0.2 0.125 0.65523866 8e+06 2.405535e+03
## 1204 0.52516292 1.09 1.09 0.2 0.125 1.57987186 8e+06 2.682856e+03
## 1205 0.19567191 1.09 1.09 0.2 0.125 0.93193392 8e+06 5.693423e+03
## 1206 0.56239027 1.09 1.09 0.2 0.125 2.24707954 8e+06 8.628672e+03
## 1207 0.34866121 1.09 1.09 0.2 0.125 0.42124544 8e+06 1.387678e+04
## 1208 0.18166219 1.09 1.09 0.2 0.125 19.03920439 8e+06 2.113207e+04
## 1209 0.32877023 1.09 1.09 0.2 0.125 0.74740083 8e+06 1.815919e+04
## 1210 0.16569780 1.09 1.09 0.2 0.125 5.64126243 8e+06 3.004507e+04
## 1211 0.23925917 1.09 1.09 0.2 0.125 0.56903534 8e+06 5.343025e+03
## 1212 0.11945995 1.09 1.09 0.2 0.125 7.36174700 8e+06 8.682403e+03
## 1213 0.27985570 1.09 1.09 0.2 0.125 0.50955439 8e+06 1.067179e+03
## 1214 0.51793284 1.09 1.09 0.2 0.125 1.49225488 8e+06 1.060056e+03
## 1215 0.06788717 1.09 1.09 0.2 0.125 0.53022126 8e+06 1.543224e+04
## 1216 0.17967381 1.09 1.09 0.2 0.125 5.00970530 8e+06 2.777712e+04
## 1217 0.17257529 1.09 1.09 0.2 0.125 0.72578310 8e+06 2.241401e+03
## 1218 0.18553979 1.09 1.09 0.2 0.125 6.74220810 8e+06 5.228806e+03
## 1219 0.21627196 1.09 1.09 0.2 0.125 0.88432834 8e+06 2.284705e+03
## 1220 0.10952495 1.09 1.09 0.2 0.125 6.53397372 8e+06 3.390488e+03
## 1221 0.30484938 1.09 1.09 0.2 0.125 0.50946165 8e+06 1.159370e+04
## 1222 0.13571794 1.09 1.09 0.2 0.125 3.86431330 8e+06 1.486513e+04
## 1223 0.30756344 1.09 1.09 0.2 0.125 0.87953484 8e+06 1.777922e+04
## 1224 0.16446903 1.09 1.09 0.2 0.125 10.23935177 8e+06 3.519437e+04
## 1225 0.10106175 1.09 1.09 0.2 0.125 0.61638238 8e+06 6.089866e+02
## 1226 0.01963857 1.09 1.09 0.2 0.125 10.26361387 8e+06 7.256582e+02
## 1227 0.22364492 1.09 1.09 0.2 0.125 0.83146528 8e+06 1.860444e+04
## 1228 0.19127668 1.09 1.09 0.2 0.125 6.03756429 8e+06 2.056346e+04
## 1229 0.20988004 1.09 1.09 0.2 0.125 0.91270900 8e+06 7.527897e+02
## 1230 0.56896533 1.09 1.09 0.2 0.125 3.18861108 8e+06 1.059983e+03
## 1231 0.24135967 1.09 1.09 0.2 0.125 0.47939174 8e+06 1.212341e+04
## 1232 0.19463834 1.09 1.09 0.2 0.125 3.86199350 8e+06 2.010664e+04
## 1233 0.26268612 1.09 1.09 0.2 0.125 0.94850974 8e+06 4.809108e+03
## 1234 0.14234103 1.09 1.09 0.2 0.125 6.28645422 8e+06 8.305910e+03
## 1235 0.25586822 1.09 1.09 0.2 0.125 0.22839480 8e+06 1.962505e+04
## 1236 0.57036574 1.09 1.09 0.2 0.125 1.98088866 8e+06 2.953568e+04
## 1237 0.32739999 1.09 1.09 0.2 0.125 0.29076163 8e+06 1.139725e+04
## 1238 0.29368570 1.09 1.09 0.2 0.125 8.63542776 8e+06 1.031003e+04
## 1239 0.24137008 1.09 1.09 0.2 0.125 0.87908842 8e+06 1.080349e+04
## 1240 0.14937382 1.09 1.09 0.2 0.125 4.37118096 8e+06 1.343977e+04
## 1241 0.28331184 1.09 1.09 0.2 0.125 0.60484721 8e+06 1.408312e+04
## 1242 0.14449961 1.09 1.09 0.2 0.125 5.42359990 8e+06 2.394899e+04
## 1243 0.34360990 1.09 1.09 0.2 0.125 0.79355885 8e+06 3.457366e+03
## 1244 0.23474402 1.09 1.09 0.2 0.125 16.38756357 8e+06 6.915687e+03
## 1245 0.21506392 1.09 1.09 0.2 0.125 0.88544751 8e+06 4.101311e+03
## 1246 0.06612234 1.09 1.09 0.2 0.125 2.46328915 8e+06 6.557242e+03
## 1247 0.26294254 1.09 1.09 0.2 0.125 0.48181492 8e+06 1.586397e+04
## 1248 0.20236851 1.09 1.09 0.2 0.125 20.86675388 8e+06 2.164159e+04
## 1249 0.18646710 1.09 1.09 0.2 0.125 0.83674550 8e+06 1.899749e+04
## 1250 0.58351876 1.09 1.09 0.2 0.125 10.02642634 8e+06 2.742426e+04
## 1251 0.23000152 1.09 1.09 0.2 0.125 0.45969350 8e+06 1.854599e+04
## 1252 0.16061014 1.09 1.09 0.2 0.125 19.59391370 8e+06 2.682520e+04
## 1253 0.31424419 1.09 1.09 0.2 0.125 0.91130802 8e+06 1.750497e+04
## 1254 0.16559842 1.09 1.09 0.2 0.125 4.38827010 8e+06 2.473767e+04
## 1255 0.13641399 1.09 1.09 0.2 0.125 0.30457070 8e+06 1.607714e+04
## 1256 0.19248334 1.09 1.09 0.2 0.125 8.22542792 8e+06 1.766727e+04
## 1257 0.25268370 1.09 1.09 0.2 0.125 0.65617343 8e+06 2.931215e+03
## 1258 0.10435568 1.09 1.09 0.2 0.125 6.64489805 8e+06 3.623134e+03
## 1259 0.34354209 1.09 1.09 0.2 0.125 0.41793316 8e+06 1.690591e+04
## 1260 0.58771323 1.09 1.09 0.2 0.125 2.05907601 8e+06 3.265567e+04
## 1261 0.16004418 1.09 1.09 0.2 0.125 0.65762573 8e+06 6.891304e+02
## 1262 0.52669897 1.09 1.09 0.2 0.125 1.62392912 8e+06 6.521972e+02
## 1263 0.26010886 1.09 1.09 0.2 0.125 0.27409185 8e+06 1.182981e+04
## 1264 0.17867370 1.09 1.09 0.2 0.125 5.78388565 8e+06 2.031052e+04
## 1265 0.29340426 1.09 1.09 0.2 0.125 0.36699514 8e+06 4.827395e+03
## 1266 0.10202612 1.09 1.09 0.2 0.125 7.76637603 8e+06 3.987171e+03
## 1267 0.21254664 1.09 1.09 0.2 0.125 0.90683110 8e+06 3.686663e+03
## 1268 0.11984982 1.09 1.09 0.2 0.125 12.29483147 8e+06 4.707174e+03
## 1269 0.16733985 1.09 1.09 0.2 0.125 0.58544885 8e+06 1.383020e+04
## 1270 0.21047512 1.09 1.09 0.2 0.125 32.32790240 8e+06 1.202562e+04
## 1271 0.17979237 1.09 1.09 0.2 0.125 0.46802163 8e+06 8.671499e+03
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## 1273 0.34374375 1.09 1.09 0.2 0.125 0.75959253 8e+06 4.473675e+03
## 1274 0.12343102 1.09 1.09 0.2 0.125 7.43405763 8e+06 7.654592e+03
## 1275 0.32624598 1.09 1.09 0.2 0.125 0.54885914 8e+06 1.123413e+04
## 1276 0.56980449 1.09 1.09 0.2 0.125 2.05357960 8e+06 1.611940e+04
## 1277 0.16804189 1.09 1.09 0.2 0.125 0.69047180 8e+06 1.473633e+04
## 1278 0.15852311 1.09 1.09 0.2 0.125 34.86482806 8e+06 2.873394e+04
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## 1280 0.14938654 1.09 1.09 0.2 0.125 3.48213498 8e+06 2.096497e+04
## 1281 0.25827209 1.09 1.09 0.2 0.125 0.60194220 8e+06 1.430189e+04
## 1282 0.11177449 1.09 1.09 0.2 0.125 1.86608394 8e+06 2.494130e+04
## 1283 0.18194851 1.09 1.09 0.2 0.125 0.63921111 8e+06 5.058180e+02
## 1284 0.14973562 1.09 1.09 0.2 0.125 6.53856032 8e+06 8.438193e+02
## 1285 0.31585222 1.09 1.09 0.2 0.125 0.60513772 8e+06 1.075233e+04
## 1286 0.10867286 1.09 1.09 0.2 0.125 4.74271637 8e+06 1.430152e+04
## 1287 0.10667525 1.09 1.09 0.2 0.125 0.86750327 8e+06 1.854854e+04
## 1288 0.18950300 1.09 1.09 0.2 0.125 8.37427287 8e+06 1.466662e+04
## 1289 0.16914608 1.09 1.09 0.2 0.125 0.47633690 8e+06 7.690122e+03
## 1290 0.52476079 1.09 1.09 0.2 0.125 10.00335108 8e+06 9.813477e+03
## 1291 0.08120201 1.09 1.09 0.2 0.125 0.49236781 8e+06 1.189457e+03
## 1292 0.13225851 1.09 1.09 0.2 0.125 5.83567461 8e+06 2.027351e+03
## 1293 0.36662188 1.09 1.09 0.2 0.125 0.80489727 8e+06 1.887167e+04
## 1294 0.16632837 1.09 1.09 0.2 0.125 5.08448006 8e+06 2.480738e+04
## 1295 0.13264205 1.09 1.09 0.2 0.125 0.64074893 8e+06 4.010064e+03
## 1296 0.64777817 1.09 1.09 0.2 0.125 2.23017819 8e+06 5.893542e+03
## 1297 0.32915990 1.09 1.09 0.2 0.125 0.96382760 8e+06 1.719332e+04
## 1298 0.14313523 1.09 1.09 0.2 0.125 3.39470839 8e+06 2.573893e+04
## 1299 0.37119922 1.09 1.09 0.2 0.125 0.94119568 8e+06 7.728954e+03
## 1300 0.14302946 1.09 1.09 0.2 0.125 5.20945693 8e+06 1.339236e+04
## 1301 0.05810093 1.09 1.09 0.2 0.125 0.84595851 8e+06 1.844690e+04
## 1302 0.58278416 1.09 1.09 0.2 0.125 2.78724681 8e+06 3.084708e+04
## 1303 0.31868878 1.09 1.09 0.2 0.125 0.66754846 8e+06 1.101272e+04
## 1304 0.33280697 1.09 1.09 0.2 0.125 2.36220162 8e+06 4.127517e+04
## 1305 0.11647526 1.09 1.09 0.2 0.125 0.77042827 8e+06 1.570408e+04
## 1306 0.18628510 1.09 1.09 0.2 0.125 7.01232813 8e+06 2.480048e+04
## 1307 0.07224132 1.09 1.09 0.2 0.125 0.47724781 8e+06 1.596079e+04
## 1308 0.87543764 1.09 1.09 0.2 0.125 2.57005962 8e+06 2.476922e+04
## 1309 0.29965818 1.09 1.09 0.2 0.125 0.92824003 8e+06 5.582180e+03
## 1310 0.13675907 1.09 1.09 0.2 0.125 3.43844899 8e+06 9.034578e+03
## 1311 0.31980292 1.09 1.09 0.2 0.125 0.40815496 8e+06 1.034894e+04
## 1312 0.14683652 1.09 1.09 0.2 0.125 7.96476632 8e+06 1.537069e+04
## 1313 0.38311973 1.09 1.09 0.2 0.125 0.96802273 8e+06 1.531709e+04
## 1314 0.24099447 1.09 1.09 0.2 0.125 8.85905537 8e+06 1.031449e+04
## 1315 0.08521905 1.09 1.09 0.2 0.125 0.75186003 8e+06 1.013368e+04
## 1316 0.20347763 1.09 1.09 0.2 0.125 4.43746632 8e+06 1.073359e+04
## 1317 0.05969774 1.09 1.09 0.2 0.125 0.81379491 8e+06 2.878087e+03
## 1318 0.11022081 1.09 1.09 0.2 0.125 3.86046780 8e+06 3.071402e+03
## 1319 0.22181006 1.09 1.09 0.2 0.125 0.57753789 8e+06 1.183081e+04
## 1320 0.13961689 1.09 1.09 0.2 0.125 2.71902841 8e+06 2.202725e+04
## 1321 0.32897050 1.09 1.09 0.2 0.125 0.27366426 8e+06 1.534070e+03
## 1322 0.21564798 1.09 1.09 0.2 0.125 4.38279471 8e+06 3.644085e+03
## 1323 0.10709153 1.09 1.09 0.2 0.125 0.53300811 8e+06 1.642113e+04
## 1324 0.18077309 1.09 1.09 0.2 0.125 26.04584631 8e+06 2.024570e+04
## 1325 0.39928827 1.09 1.09 0.2 0.125 0.59478451 8e+06 1.113911e+04
## 1326 0.56928462 1.09 1.09 0.2 0.125 2.36017997 8e+06 2.295836e+04
## 1327 0.25687048 1.09 1.09 0.2 0.125 0.81248226 8e+06 1.519098e+04
## 1328 0.16710984 1.09 1.09 0.2 0.125 12.47365450 8e+06 2.590429e+04
## 1329 0.07841261 1.09 1.09 0.2 0.125 0.95262473 8e+06 1.867862e+04
## 1330 0.20093455 1.09 1.09 0.2 0.125 17.29163101 8e+06 2.706761e+04
## 1331 0.18221114 1.09 1.09 0.2 0.125 0.86398037 8e+06 1.223046e+04
## 1332 0.59108691 1.09 1.09 0.2 0.125 2.06807692 8e+06 2.542598e+04
## 1333 0.12612856 1.09 1.09 0.2 0.125 0.26224856 8e+06 9.477259e+03
## 1334 0.56383614 1.09 1.09 0.2 0.125 13.21926801 8e+06 1.263242e+04
## 1335 0.21740942 1.09 1.09 0.2 0.125 0.68764771 8e+06 1.051441e+04
## 1336 0.13243015 1.09 1.09 0.2 0.125 12.36992169 8e+06 1.919045e+04
## 1337 0.15726307 1.09 1.09 0.2 0.125 0.82217737 8e+06 3.023845e+03
## 1338 0.10678986 1.09 1.09 0.2 0.125 9.28635722 8e+06 5.179165e+03
## 1339 0.23466704 1.09 1.09 0.2 0.125 0.96241242 8e+06 2.159459e+03
## 1340 0.11630127 1.09 1.09 0.2 0.125 15.75761555 8e+06 3.495664e+03
## 1341 0.07276748 1.09 1.09 0.2 0.125 0.68794950 8e+06 9.307449e+03
## 1342 0.23962436 1.09 1.09 0.2 0.125 15.59272635 8e+06 1.014482e+04
## 1343 0.10190545 1.09 1.09 0.2 0.125 0.38087864 8e+06 5.573327e+02
## 1344 0.07069220 1.09 1.09 0.2 0.125 7.75001380 8e+06 6.661586e+02
## 1345 0.20090352 1.09 1.09 0.2 0.125 0.82163673 8e+06 1.639750e+04
## 1346 0.17029638 1.09 1.09 0.2 0.125 16.77148648 8e+06 2.739073e+04
## 1347 0.23856351 1.09 1.09 0.2 0.125 0.78733199 8e+06 4.673081e+03
## 1348 0.12323267 1.09 1.09 0.2 0.125 5.65769289 8e+06 9.059523e+03
## 1349 0.35686076 1.09 1.09 0.2 0.125 0.62324317 8e+06 6.810248e+03
## 1350 0.12719673 1.09 1.09 0.2 0.125 7.24923094 8e+06 1.309016e+04
## 1351 0.20859134 1.09 1.09 0.2 0.125 0.78564400 8e+06 4.860956e+03
## 1352 0.13155542 1.09 1.09 0.2 0.125 6.93567118 8e+06 9.957958e+03
## 1353 0.16049691 1.09 1.09 0.2 0.125 0.61108839 8e+06 1.168462e+04
## 1354 0.13055603 1.09 1.09 0.2 0.125 11.38057952 8e+06 1.704365e+04
## 1355 0.15994375 1.09 1.09 0.2 0.125 0.69041258 8e+06 7.632820e+03
## 1356 0.13811928 1.09 1.09 0.2 0.125 6.75341007 8e+06 1.215963e+04
## 1357 0.34010162 1.09 1.09 0.2 0.125 0.22559006 8e+06 1.482520e+04
## 1358 0.15306008 1.09 1.09 0.2 0.125 8.15109962 8e+06 2.482503e+04
## 1359 0.30353754 1.09 1.09 0.2 0.125 0.45002280 8e+06 1.821774e+04
## 1360 0.16585551 1.09 1.09 0.2 0.125 4.60286673 8e+06 3.474556e+04
## 1361 0.16808727 1.09 1.09 0.2 0.125 0.48884170 8e+06 1.231838e+04
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## 1363 0.24637371 1.09 1.09 0.2 0.125 0.20769507 8e+06 5.280261e+03
## 1364 0.57387757 1.09 1.09 0.2 0.125 1.96757186 8e+06 6.737731e+03
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## 1367 0.09022414 1.09 1.09 0.2 0.125 0.68475297 8e+06 1.458958e+04
## 1368 0.15552471 1.09 1.09 0.2 0.125 6.12865196 8e+06 2.751672e+04
## 1369 0.38306725 1.09 1.09 0.2 0.125 0.83407472 8e+06 1.410711e+03
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## 1372 0.65862649 1.09 1.09 0.2 0.125 1.47199957 8e+06 1.160332e+04
## 1373 0.10426852 1.09 1.09 0.2 0.125 0.88918676 8e+06 1.497352e+04
## 1374 0.28810886 1.09 1.09 0.2 0.125 4.76944411 8e+06 9.836288e+03
## 1375 0.26035246 1.09 1.09 0.2 0.125 0.63516520 8e+06 1.676936e+04
## 1376 0.55205113 1.09 1.09 0.2 0.125 5.47142668 8e+06 2.275252e+04
## 1377 0.26369396 1.09 1.09 0.2 0.125 0.65079486 8e+06 1.672258e+04
## 1378 0.17641876 1.09 1.09 0.2 0.125 7.36116064 8e+06 3.223900e+04
## 1379 0.26500101 1.09 1.09 0.2 0.125 0.67136608 8e+06 7.756777e+03
## 1380 0.12560152 1.09 1.09 0.2 0.125 8.40292000 8e+06 1.239913e+04
## 1381 0.31161542 1.09 1.09 0.2 0.125 0.80181736 8e+06 1.906148e+04
## 1382 0.14511657 1.09 1.09 0.2 0.125 17.87634488 8e+06 2.871451e+04
## 1383 0.37019461 1.09 1.09 0.2 0.125 0.86328436 8e+06 1.867509e+04
## 1384 0.59356303 1.09 1.09 0.2 0.125 19.71080917 8e+06 2.566606e+04
## 1385 0.31634342 1.09 1.09 0.2 0.125 0.88698039 8e+06 1.993900e+04
## 1386 0.13818332 1.09 1.09 0.2 0.125 4.74213536 8e+06 2.634143e+04
## 1387 0.16732602 1.09 1.09 0.2 0.125 0.47741103 8e+06 1.535452e+04
## 1388 0.17527259 1.09 1.09 0.2 0.125 5.78145817 8e+06 2.565999e+04
## 1389 0.23216628 1.09 1.09 0.2 0.125 0.70084268 8e+06 9.201288e+03
## 1390 0.68424090 1.09 1.09 0.2 0.125 5.17212922 8e+06 1.534536e+04
## 1391 0.30624876 1.09 1.09 0.2 0.125 0.84800716 8e+06 3.462192e+02
## 1392 0.11486827 1.09 1.09 0.2 0.125 7.23768113 8e+06 3.248856e+02
## 1393 0.39101567 1.09 1.09 0.2 0.125 0.97007219 8e+06 4.316693e+03
## 1394 0.13326560 1.09 1.09 0.2 0.125 3.62091801 8e+06 8.378464e+03
## 1395 0.11665880 1.09 1.09 0.2 0.125 0.43146531 8e+06 3.912780e+03
## 1396 0.15020270 1.09 1.09 0.2 0.125 6.39414573 8e+06 6.147194e+03
## 1397 0.27356905 1.09 1.09 0.2 0.125 0.77821665 8e+06 3.026605e+03
## 1398 0.11251914 1.09 1.09 0.2 0.125 8.32174840 8e+06 5.863649e+03
## 1399 0.21110917 1.09 1.09 0.2 0.125 0.76564557 8e+06 2.825858e+03
## 1400 0.55060326 1.09 1.09 0.2 0.125 2.83022514 8e+06 3.914474e+03
## 1401 0.35957252 1.09 1.09 0.2 0.125 0.82548736 8e+06 6.939975e+03
## 1402 0.13563407 1.09 1.09 0.2 0.125 5.73168338 8e+06 1.347852e+04
## 1403 0.15107776 1.09 1.09 0.2 0.125 0.37219821 8e+06 8.837359e+03
## 1404 0.15159114 1.09 1.09 0.2 0.125 6.89656655 8e+06 1.526828e+04
## 1405 0.39980222 1.09 1.09 0.2 0.125 0.24455858 8e+06 9.178512e+03
## 1406 0.15307106 1.09 1.09 0.2 0.125 4.01047972 8e+06 1.458347e+04
## 1407 0.12294091 1.09 1.09 0.2 0.125 0.55835131 8e+06 6.489593e+03
## 1408 0.12931365 1.09 1.09 0.2 0.125 4.94588548 8e+06 1.132104e+04
## 1409 0.17700749 1.09 1.09 0.2 0.125 0.62896652 8e+06 2.432611e+03
## 1410 0.52369211 1.09 1.09 0.2 0.125 3.29583059 8e+06 2.446880e+03
## 1411 0.23170833 1.09 1.09 0.2 0.125 0.20525540 8e+06 4.233036e+03
## 1412 0.53845028 1.09 1.09 0.2 0.125 2.51841112 8e+06 5.948264e+03
## 1413 0.17304938 1.09 1.09 0.2 0.125 0.64336744 8e+06 5.549111e+03
## 1414 0.24236644 1.09 1.09 0.2 0.125 5.05722431 8e+06 8.913382e+03
## 1415 0.26367199 1.09 1.09 0.2 0.125 0.52045469 8e+06 1.407612e+04
## 1416 0.21029652 1.09 1.09 0.2 0.125 5.92121355 8e+06 1.229186e+04
## 1417 0.33543757 1.09 1.09 0.2 0.125 0.48108961 8e+06 1.399442e+04
## 1418 0.13566847 1.09 1.09 0.2 0.125 4.32850748 8e+06 1.903661e+04
## 1419 0.34982754 1.09 1.09 0.2 0.125 0.70262893 8e+06 1.951155e+04
## 1420 0.75715461 1.09 1.09 0.2 0.125 2.88312083 8e+06 3.327910e+04
## 1421 0.23404231 1.09 1.09 0.2 0.125 0.25345385 8e+06 1.438743e+04
## 1422 0.18717950 1.09 1.09 0.2 0.125 4.93094403 8e+06 1.071942e+04
## 1423 0.05918280 1.09 1.09 0.2 0.125 0.90759007 8e+06 1.774022e+04
## 1424 0.06603820 1.09 1.09 0.2 0.125 29.13790797 8e+06 1.894477e+04
## 1425 0.16372429 1.09 1.09 0.2 0.125 0.21754129 8e+06 1.689155e+04
## 1426 0.15755674 1.09 1.09 0.2 0.125 4.73596785 8e+06 3.079695e+04
## 1427 0.28114980 1.09 1.09 0.2 0.125 0.67751424 8e+06 2.110283e+03
## 1428 0.97061546 1.09 1.09 0.2 0.125 0.73665160 8e+06 2.368297e+03
## 1429 0.16076370 1.09 1.09 0.2 0.125 0.55241463 8e+06 3.112518e+03
## 1430 0.56563835 1.09 1.09 0.2 0.125 1.96767878 8e+06 5.100553e+03
## 1431 0.19269994 1.09 1.09 0.2 0.125 0.67992714 8e+06 4.864538e+03
## 1432 0.15101068 1.09 1.09 0.2 0.125 14.37831010 8e+06 8.460265e+03
## 1433 0.37977024 1.09 1.09 0.2 0.125 0.36152754 8e+06 1.482053e+04
## 1434 0.14329638 1.09 1.09 0.2 0.125 6.64286712 8e+06 2.154045e+04
## 1435 0.23232588 1.09 1.09 0.2 0.125 0.21646367 8e+06 2.335043e+03
## 1436 0.11130361 1.09 1.09 0.2 0.125 19.35980478 8e+06 2.133456e+03
## 1437 0.20504266 1.09 1.09 0.2 0.125 0.40257456 8e+06 4.342148e+02
## 1438 0.51704383 1.09 1.09 0.2 0.125 4.30389844 8e+06 3.987178e+02
## 1439 0.35547083 1.09 1.09 0.2 0.125 0.44075581 8e+06 1.579513e+04
## 1440 0.60406602 1.09 1.09 0.2 0.125 4.30613902 8e+06 2.681521e+04
## 1441 0.08505017 1.09 1.09 0.2 0.125 0.65694397 8e+06 4.305403e+03
## 1442 0.10776859 1.09 1.09 0.2 0.125 4.71365954 8e+06 5.705583e+03
## 1443 0.12324927 1.09 1.09 0.2 0.125 0.55811886 8e+06 1.784547e+04
## 1444 0.18351515 1.09 1.09 0.2 0.125 11.35253073 8e+06 1.673680e+04
## 1445 0.18346276 1.09 1.09 0.2 0.125 0.55141216 8e+06 1.433505e+04
## 1446 0.15785286 1.09 1.09 0.2 0.125 4.95944545 8e+06 2.369070e+04
## 1447 0.10453575 1.09 1.09 0.2 0.125 0.25518623 8e+06 1.979546e+04
## 1448 0.26897820 1.09 1.09 0.2 0.125 4.07563677 8e+06 2.327778e+04
## 1449 0.34458318 1.09 1.09 0.2 0.125 0.37995269 8e+06 1.519292e+04
## 1450 0.13394127 1.09 1.09 0.2 0.125 4.22796489 8e+06 1.965333e+04
## 1451 0.05014018 1.09 1.09 0.2 0.125 0.30097833 8e+06 2.331170e+02
## 1452 0.11817704 1.09 1.09 0.2 0.125 5.99563051 8e+06 2.425599e+02
## 1453 0.05745760 1.09 1.09 0.2 0.125 0.70562186 8e+06 1.707464e+04
## 1454 0.15262532 1.09 1.09 0.2 0.125 4.11103577 8e+06 2.174169e+04
## 1455 0.32653268 1.09 1.09 0.2 0.125 0.30706907 8e+06 1.145151e+03
## 1456 0.50737744 1.09 1.09 0.2 0.125 4.76766293 8e+06 1.452265e+03
## 1457 0.34237800 1.09 1.09 0.2 0.125 0.54832096 8e+06 1.799536e+04
## 1458 0.15803761 1.09 1.09 0.2 0.125 12.90119085 8e+06 2.830852e+04
## 1459 0.12808450 1.09 1.09 0.2 0.125 0.91733881 8e+06 1.764014e+04
## 1460 0.19320824 1.09 1.09 0.2 0.125 8.75078479 8e+06 2.180424e+04
## 1461 0.36304007 1.09 1.09 0.2 0.125 0.28348795 8e+06 2.528858e+03
## 1462 0.17581544 1.09 1.09 0.2 0.125 4.81656124 8e+06 5.096562e+03
## 1463 0.37566267 1.09 1.09 0.2 0.125 0.77077279 8e+06 4.069845e+03
## 1464 0.14807624 1.09 1.09 0.2 0.125 5.68228372 8e+06 7.229202e+03
## 1465 0.35839292 1.09 1.09 0.2 0.125 0.53190394 8e+06 1.861118e+04
## 1466 0.20716676 1.09 1.09 0.2 0.125 3.70383077 8e+06 2.886313e+04
## 1467 0.17810898 1.09 1.09 0.2 0.125 0.34511779 8e+06 3.047243e+03
## 1468 0.11925007 1.09 1.09 0.2 0.125 9.94992808 8e+06 4.011812e+03
## 1469 0.28882813 1.09 1.09 0.2 0.125 0.57375776 8e+06 5.144998e+03
## 1470 0.55078388 1.09 1.09 0.2 0.125 1.29977540 8e+06 6.360417e+03
## 1471 0.12613717 1.09 1.09 0.2 0.125 0.88212076 8e+06 2.327065e+03
## 1472 0.10965036 1.09 1.09 0.2 0.125 3.80059057 8e+06 3.053145e+03
## 1473 0.35641436 1.09 1.09 0.2 0.125 0.62153796 8e+06 1.024278e+04
## 1474 0.13875042 1.09 1.09 0.2 0.125 5.98461260 8e+06 1.768793e+04
## 1475 0.34788814 1.09 1.09 0.2 0.125 0.62815052 8e+06 2.319476e+03
## 1476 0.11625800 1.09 1.09 0.2 0.125 5.05513923 8e+06 3.546451e+03
## 1477 0.11480507 1.09 1.09 0.2 0.125 0.40779997 8e+06 7.499834e+03
## 1478 0.14435658 1.09 1.09 0.2 0.125 4.43492889 8e+06 1.021023e+04
## 1479 0.07585171 1.09 1.09 0.2 0.125 0.71623212 8e+06 8.873316e+03
## 1480 0.18924921 1.09 1.09 0.2 0.125 12.84731716 8e+06 1.360280e+04
## 1481 0.32521033 1.09 1.09 0.2 0.125 0.96709754 8e+06 1.794677e+04
## 1482 0.15241014 1.09 1.09 0.2 0.125 8.80416270 8e+06 3.649680e+04
## 1483 0.27794036 1.09 1.09 0.2 0.125 0.26261336 8e+06 1.548019e+04
## 1484 0.23999387 1.09 1.09 0.2 0.125 6.14354012 8e+06 1.067474e+04
## 1485 0.19564455 1.09 1.09 0.2 0.125 0.45032428 8e+06 5.980044e+03
## 1486 0.56094074 1.09 1.09 0.2 0.125 6.41357919 8e+06 9.970376e+03
## 1487 0.35909688 1.09 1.09 0.2 0.125 0.45332080 8e+06 5.386838e+03
## 1488 0.11671441 1.09 1.09 0.2 0.125 5.61567944 8e+06 9.642292e+03
## 1489 0.26020588 1.09 1.09 0.2 0.125 0.86572733 8e+06 1.005814e+04
## 1490 0.13442138 1.09 1.09 0.2 0.125 9.47592438 8e+06 1.635266e+04
## 1491 0.21809518 1.09 1.09 0.2 0.125 0.58901477 8e+06 1.663914e+04
## 1492 0.25488435 1.09 1.09 0.2 0.125 9.33124223 8e+06 1.194816e+04
## 1493 0.24173433 1.09 1.09 0.2 0.125 0.23329314 8e+06 1.484441e+04
## 1494 0.61730231 1.09 1.09 0.2 0.125 2.05647527 8e+06 2.680065e+04
## 1495 0.36261776 1.09 1.09 0.2 0.125 0.97213211 8e+06 4.246027e+03
## 1496 0.13931885 1.09 1.09 0.2 0.125 7.81858623 8e+06 5.978307e+03
## 1497 0.33515895 1.09 1.09 0.2 0.125 0.71074041 8e+06 7.009711e+03
## 1498 0.11667870 1.09 1.09 0.2 0.125 4.83358385 8e+06 1.147729e+04
## 1499 0.29672209 1.09 1.09 0.2 0.125 0.57946212 8e+06 2.504818e+03
## 1500 0.55388081 1.09 1.09 0.2 0.125 1.09665643 8e+06 3.042761e+03
## 1501 0.39269451 1.09 1.09 0.2 0.125 0.81959192 8e+06 1.968295e+04
## 1502 0.13458129 1.09 1.09 0.2 0.125 1.65479275 8e+06 2.547059e+04
## 1503 0.36487044 1.09 1.09 0.2 0.125 0.21930210 8e+06 6.528635e+02
## 1504 0.10227162 1.09 1.09 0.2 0.125 4.97375416 8e+06 7.015899e+02
## 1505 0.08219649 1.09 1.09 0.2 0.125 0.23633204 8e+06 1.695700e+04
## 1506 0.13901263 1.09 1.09 0.2 0.125 2.79055190 8e+06 2.478779e+04
## 1507 0.26153655 1.09 1.09 0.2 0.125 0.59743151 8e+06 1.662776e+04
## 1508 0.18936144 1.09 1.09 0.2 0.125 6.76623629 8e+06 1.588740e+04
## 1509 0.23558728 1.09 1.09 0.2 0.125 0.28524796 8e+06 3.750344e+03
## 1510 0.11463044 1.09 1.09 0.2 0.125 7.19825555 8e+06 6.106184e+03
## 1511 0.23815436 1.09 1.09 0.2 0.125 0.65433793 8e+06 1.275437e+04
## 1512 0.16729588 1.09 1.09 0.2 0.125 9.87698474 8e+06 1.774241e+04
## 1513 0.18528263 1.09 1.09 0.2 0.125 0.83778701 8e+06 6.660070e+03
## 1514 0.13359455 1.09 1.09 0.2 0.125 9.77248355 8e+06 1.195178e+04
## 1515 0.38900007 1.09 1.09 0.2 0.125 0.46992580 8e+06 1.505792e+04
## 1516 0.19246070 1.09 1.09 0.2 0.125 5.20556154 8e+06 2.014980e+04
## 1517 0.37137358 1.09 1.09 0.2 0.125 0.31426675 8e+06 3.086617e+03
## 1518 0.53252244 1.09 1.09 0.2 0.125 2.94977980 8e+06 4.290811e+03
## 1519 0.05466821 1.09 1.09 0.2 0.125 0.26659814 8e+06 9.834544e+03
## 1520 0.55243612 1.09 1.09 0.2 0.125 2.79617393 8e+06 1.217436e+04
## 1521 0.19971498 1.09 1.09 0.2 0.125 0.86511176 8e+06 8.838440e+03
## 1522 0.17845814 1.09 1.09 0.2 0.125 7.72048362 8e+06 1.017831e+04
## 1523 0.20313166 1.09 1.09 0.2 0.125 0.69259556 8e+06 1.281623e+04
## 1524 0.14115768 1.09 1.09 0.2 0.125 29.42449728 8e+06 2.670657e+04
## 1525 0.32808454 1.09 1.09 0.2 0.125 0.37431567 8e+06 1.552671e+04
## 1526 0.20059794 1.09 1.09 0.2 0.125 10.81969097 8e+06 1.495092e+04
## 1527 0.15233779 1.09 1.09 0.2 0.125 0.49647054 8e+06 9.284835e+03
## 1528 0.12733383 1.09 1.09 0.2 0.125 11.39089923 8e+06 1.635607e+04
## 1529 0.30102214 1.09 1.09 0.2 0.125 0.32502993 8e+06 1.592425e+03
## 1530 0.09242572 1.09 1.09 0.2 0.125 3.41239649 8e+06 1.807182e+03
## 1531 0.10883023 1.09 1.09 0.2 0.125 0.62262776 8e+06 1.375157e+04
## 1532 0.21979840 1.09 1.09 0.2 0.125 6.37903586 8e+06 1.282409e+04
## 1533 0.31610712 1.09 1.09 0.2 0.125 0.98840896 8e+06 1.142739e+04
## 1534 0.13891723 1.09 1.09 0.2 0.125 6.24816812 8e+06 1.630138e+04
## 1535 0.28944298 1.09 1.09 0.2 0.125 0.52655989 8e+06 1.431262e+04
## 1536 0.19964784 1.09 1.09 0.2 0.125 5.09769607 8e+06 1.547221e+04
## 1537 0.35289638 1.09 1.09 0.2 0.125 0.76007422 8e+06 1.918484e+04
## 1538 0.16241352 1.09 1.09 0.2 0.125 7.72886584 8e+06 3.067370e+04
## 1539 0.25677068 1.09 1.09 0.2 0.125 0.24685929 8e+06 7.513923e+03
## 1540 0.13811082 1.09 1.09 0.2 0.125 12.00609495 8e+06 1.172268e+04
## 1541 0.37193724 1.09 1.09 0.2 0.125 0.51404504 8e+06 1.996727e+03
## 1542 0.10885962 1.09 1.09 0.2 0.125 7.20145478 8e+06 3.260097e+03
## 1543 0.23152624 1.09 1.09 0.2 0.125 0.30998243 8e+06 1.806873e+04
## 1544 0.20779396 1.09 1.09 0.2 0.125 5.19288715 8e+06 2.580037e+04
## 1545 0.28309397 1.09 1.09 0.2 0.125 0.65380435 8e+06 1.633588e+04
## 1546 0.75633075 1.09 1.09 0.2 0.125 5.44781704 8e+06 2.788240e+04
## 1547 0.39221325 1.09 1.09 0.2 0.125 0.46967320 8e+06 8.710848e+03
## 1548 0.17349013 1.09 1.09 0.2 0.125 4.17030389 8e+06 1.495697e+04
## 1549 0.18712424 1.09 1.09 0.2 0.125 0.27006066 8e+06 4.156831e+03
## 1550 0.57485947 1.09 1.09 0.2 0.125 1.26168610 8e+06 6.730473e+03
## 1551 0.38798534 1.09 1.09 0.2 0.125 0.50872362 8e+06 5.076986e+03
## 1552 0.12947372 1.09 1.09 0.2 0.125 4.04335569 8e+06 7.486875e+03
## 1553 0.30448093 1.09 1.09 0.2 0.125 0.27927240 8e+06 1.475555e+04
## 1554 0.64450022 1.09 1.09 0.2 0.125 2.29976020 8e+06 2.798365e+04
## 1555 0.11878974 1.09 1.09 0.2 0.125 0.50131688 8e+06 1.996432e+04
## 1556 0.16223233 1.09 1.09 0.2 0.125 5.16905685 8e+06 3.023208e+04
## 1557 0.07724840 1.09 1.09 0.2 0.125 0.56074608 8e+06 1.698942e+04
## 1558 0.18363799 1.09 1.09 0.2 0.125 7.70961363 8e+06 2.970664e+04
## 1559 0.19311266 1.09 1.09 0.2 0.125 0.33068021 8e+06 8.446258e+03
## 1560 0.14006710 1.09 1.09 0.2 0.125 9.17550980 8e+06 1.377980e+04
## 1561 0.34703193 1.09 1.09 0.2 0.125 0.66343732 8e+06 3.963637e+03
## 1562 0.12115873 1.09 1.09 0.2 0.125 5.16561049 8e+06 7.025331e+03
## 1563 0.06551734 1.09 1.09 0.2 0.125 0.70404086 8e+06 1.246584e+04
## 1564 0.13597014 1.09 1.09 0.2 0.125 3.07837957 8e+06 1.957522e+04
## 1565 0.28383681 1.09 1.09 0.2 0.125 0.99621866 8e+06 1.441677e+04
## 1566 0.57586723 1.09 1.09 0.2 0.125 2.42795801 8e+06 2.203203e+04
## 1567 0.18464145 1.09 1.09 0.2 0.125 0.93863040 8e+06 1.734343e+04
## 1568 0.20667486 1.09 1.09 0.2 0.125 3.31703473 8e+06 2.376746e+04
## 1569 0.23454483 1.09 1.09 0.2 0.125 0.23607154 8e+06 1.187213e+04
## 1570 0.25070138 1.09 1.09 0.2 0.125 4.71953591 8e+06 9.346632e+03
## 1571 0.39997504 1.09 1.09 0.2 0.125 0.80690917 8e+06 1.185642e+04
## 1572 0.56651061 1.09 1.09 0.2 0.125 2.30659373 8e+06 1.755898e+04
## 1573 0.24916180 1.09 1.09 0.2 0.125 0.86847384 8e+06 1.337173e+03
## 1574 0.10883549 1.09 1.09 0.2 0.125 10.62885664 8e+06 1.527208e+03
## 1575 0.11270382 1.09 1.09 0.2 0.125 0.59236152 8e+06 1.434718e+04
## 1576 0.16196406 1.09 1.09 0.2 0.125 6.92528719 8e+06 2.190371e+04
## 1577 0.19753797 1.09 1.09 0.2 0.125 0.80629335 8e+06 2.007481e+03
## 1578 0.55325683 1.09 1.09 0.2 0.125 6.67842336 8e+06 2.792993e+03
## 1579 0.37694245 1.09 1.09 0.2 0.125 0.73010001 8e+06 1.299656e+04
## 1580 0.16077377 1.09 1.09 0.2 0.125 14.36749758 8e+06 2.170306e+04
## 1581 0.31529118 1.09 1.09 0.2 0.125 0.85029160 8e+06 6.691415e+03
## 1582 0.53783531 1.09 1.09 0.2 0.125 3.02830428 8e+06 1.046151e+04
## 1583 0.25344879 1.09 1.09 0.2 0.125 0.44809293 8e+06 1.394942e+04
## 1584 0.14040584 1.09 1.09 0.2 0.125 4.23908576 8e+06 2.142991e+04
## 1585 0.15801457 1.09 1.09 0.2 0.125 0.57986609 8e+06 7.729921e+03
## 1586 0.17073448 1.09 1.09 0.2 0.125 7.16665526 8e+06 1.600794e+04
## 1587 0.21811836 1.09 1.09 0.2 0.125 0.47478931 8e+06 1.962160e+04
## 1588 0.15462780 1.09 1.09 0.2 0.125 4.03093184 8e+06 2.941387e+04
## 1589 0.14389206 1.09 1.09 0.2 0.125 0.21984142 8e+06 2.719130e+03
## 1590 0.97203108 1.09 1.09 0.2 0.125 0.42981120 8e+06 2.916873e+03
## 1591 0.11257877 1.09 1.09 0.2 0.125 0.89875339 8e+06 1.428927e+04
## 1592 0.07745554 1.09 1.09 0.2 0.125 7.55602404 8e+06 1.522199e+04
## 1593 0.31387215 1.09 1.09 0.2 0.125 0.74944479 8e+06 1.807493e+03
## 1594 0.56058059 1.09 1.09 0.2 0.125 1.20828893 8e+06 2.148748e+03
## 1595 0.23582065 1.09 1.09 0.2 0.125 0.79405627 8e+06 1.882660e+04
## 1596 0.65842241 1.09 1.09 0.2 0.125 10.34666165 8e+06 3.752174e+04
## 1597 0.35244468 1.09 1.09 0.2 0.125 0.50816962 8e+06 1.953775e+03
## 1598 0.15490392 1.09 1.09 0.2 0.125 4.94507581 8e+06 3.933333e+03
## 1599 0.15351923 1.09 1.09 0.2 0.125 0.31083243 8e+06 4.033601e+03
## 1600 0.53822841 1.09 1.09 0.2 0.125 0.86180786 8e+06 5.252793e+03
## 1601 0.22791835 1.09 1.09 0.2 0.125 0.76807467 8e+06 1.283289e+04
## 1602 0.13004286 1.09 1.09 0.2 0.125 2.74251893 8e+06 1.689242e+04
## 1603 0.05099701 1.09 1.09 0.2 0.125 0.43327648 8e+06 1.565584e+04
## 1604 0.15743429 1.09 1.09 0.2 0.125 7.74405882 8e+06 2.637868e+04
## 1605 0.18136098 1.09 1.09 0.2 0.125 0.57364113 8e+06 8.624195e+03
## 1606 0.13517413 1.09 1.09 0.2 0.125 4.95924329 8e+06 1.451362e+04
## 1607 0.06351891 1.09 1.09 0.2 0.125 0.86389090 8e+06 4.789593e+03
## 1608 0.53602042 1.09 1.09 0.2 0.125 1.94602574 8e+06 6.451571e+03
## 1609 0.36755097 1.09 1.09 0.2 0.125 0.65421105 8e+06 8.715514e+03
## 1610 0.60995081 1.09 1.09 0.2 0.125 80.54848534 8e+06 1.449379e+04
## 1611 0.24842420 1.09 1.09 0.2 0.125 0.68218481 8e+06 2.378076e+03
## 1612 0.10824701 1.09 1.09 0.2 0.125 3.25783371 8e+06 3.763230e+03
## 1613 0.14829308 1.09 1.09 0.2 0.125 0.97370710 8e+06 3.099864e+03
## 1614 0.11182870 1.09 1.09 0.2 0.125 6.34538762 8e+06 4.542013e+03
## 1615 0.31922198 1.09 1.09 0.2 0.125 0.24901983 8e+06 1.890033e+04
## 1616 0.02039180 1.09 1.09 0.2 0.125 0.74527811 8e+06 2.170774e+04
## 1617 0.18994295 1.09 1.09 0.2 0.125 0.30351982 8e+06 1.561819e+04
## 1618 0.72077828 1.09 1.09 0.2 0.125 3.66077883 8e+06 2.995974e+04
## 1619 0.28951883 1.09 1.09 0.2 0.125 0.88903628 8e+06 4.320166e+03
## 1620 0.12652251 1.09 1.09 0.2 0.125 11.13317988 8e+06 7.926145e+03
## 1621 0.30619000 1.09 1.09 0.2 0.125 0.33894029 8e+06 1.061664e+04
## 1622 0.14348133 1.09 1.09 0.2 0.125 12.63073519 8e+06 1.683172e+04
## 1623 0.11554565 1.09 1.09 0.2 0.125 0.64388835 8e+06 6.051789e+03
## 1624 0.14980431 1.09 1.09 0.2 0.125 5.25063184 8e+06 1.039962e+04
## 1625 0.14039799 1.09 1.09 0.2 0.125 0.80495006 8e+06 1.455444e+04
## 1626 0.26035977 1.09 1.09 0.2 0.125 5.76489930 8e+06 1.038878e+04
## 1627 0.27210994 1.09 1.09 0.2 0.125 0.96190343 8e+06 6.659296e+03
## 1628 0.12803403 1.09 1.09 0.2 0.125 5.37180006 8e+06 1.087516e+04
## 1629 0.25079061 1.09 1.09 0.2 0.125 0.40128469 8e+06 1.109536e+04
## 1630 0.65305398 1.09 1.09 0.2 0.125 2.68610646 8e+06 1.999556e+04
## 1631 0.16980158 1.09 1.09 0.2 0.125 0.73305666 8e+06 5.535531e+03
## 1632 0.12700639 1.09 1.09 0.2 0.125 3.05453114 8e+06 8.807089e+03
## 1633 0.18209691 1.09 1.09 0.2 0.125 0.76051798 8e+06 7.779543e+03
## 1634 0.12741384 1.09 1.09 0.2 0.125 4.96236279 8e+06 1.162936e+04
## 1635 0.24948273 1.09 1.09 0.2 0.125 0.37875050 8e+06 9.185572e+03
## 1636 0.55501280 1.09 1.09 0.2 0.125 7.61785869 8e+06 1.147019e+04
## 1637 0.18145214 1.09 1.09 0.2 0.125 0.44715434 8e+06 8.815740e+03
## 1638 0.11203611 1.09 1.09 0.2 0.125 3.10910038 8e+06 1.275906e+04
## 1639 0.19765468 1.09 1.09 0.2 0.125 0.45466973 8e+06 2.076908e+03
## 1640 0.07063598 1.09 1.09 0.2 0.125 2.55266616 8e+06 2.117101e+03
## 1641 0.19447568 1.09 1.09 0.2 0.125 0.20973491 8e+06 1.197037e+04
## 1642 0.16914425 1.09 1.09 0.2 0.125 9.67944895 8e+06 2.411168e+04
## 1643 0.15724519 1.09 1.09 0.2 0.125 0.56565412 8e+06 1.008418e+04
## 1644 0.13013508 1.09 1.09 0.2 0.125 4.06133894 8e+06 1.601404e+04
## 1645 0.15497804 1.09 1.09 0.2 0.125 0.62310675 8e+06 4.030583e+03
## 1646 0.11199497 1.09 1.09 0.2 0.125 4.83116017 8e+06 5.691881e+03
## 1647 0.17530876 1.09 1.09 0.2 0.125 0.92790942 8e+06 1.846861e+04
## 1648 0.59050546 1.09 1.09 0.2 0.125 2.55680245 8e+06 2.552129e+04
## 1649 0.13175730 1.09 1.09 0.2 0.125 0.31530511 8e+06 1.029757e+04
## 1650 0.26369048 1.09 1.09 0.2 0.125 10.51565997 8e+06 9.355534e+03
## 1651 0.11032968 1.09 1.09 0.2 0.125 0.40026595 8e+06 7.268747e+03
## 1652 0.12321106 1.09 1.09 0.2 0.125 6.71552829 8e+06 1.151754e+04
## 1653 0.07537961 1.09 1.09 0.2 0.125 0.53887393 8e+06 1.730828e+04
## 1654 0.19130012 1.09 1.09 0.2 0.125 8.32824393 8e+06 1.927432e+04
## 1655 0.36350366 1.09 1.09 0.2 0.125 0.45437244 8e+06 2.066696e+03
## 1656 0.04870194 1.09 1.09 0.2 0.125 2.84295109 8e+06 2.711708e+03
## 1657 0.37168984 1.09 1.09 0.2 0.125 0.53282098 8e+06 7.702896e+03
## 1658 0.15768026 1.09 1.09 0.2 0.125 4.52002650 8e+06 1.185788e+04
## 1659 0.38730890 1.09 1.09 0.2 0.125 0.47540037 8e+06 1.744401e+04
## 1660 0.19080774 1.09 1.09 0.2 0.125 3.24357836 8e+06 2.905651e+04
## 1661 0.23313375 1.09 1.09 0.2 0.125 0.71293480 8e+06 1.788870e+04
## 1662 0.19202829 1.09 1.09 0.2 0.125 7.40294700 8e+06 2.513369e+04
## 1663 0.11958037 1.09 1.09 0.2 0.125 0.67067508 8e+06 1.861716e+04
## 1664 0.19713597 1.09 1.09 0.2 0.125 12.22467316 8e+06 2.128503e+04
## 1665 0.34379771 1.09 1.09 0.2 0.125 0.21173841 8e+06 1.752538e+04
## 1666 0.17004572 1.09 1.09 0.2 0.125 4.84669232 8e+06 2.822591e+04
## 1667 0.07195405 1.09 1.09 0.2 0.125 0.22458005 8e+06 1.914034e+04
## 1668 0.57427460 1.09 1.09 0.2 0.125 3.00564772 8e+06 2.507574e+04
## 1669 0.25021799 1.09 1.09 0.2 0.125 0.31105055 8e+06 1.755472e+04
## 1670 0.14489367 1.09 1.09 0.2 0.125 5.04129128 8e+06 2.677064e+04
## 1671 0.19826012 1.09 1.09 0.2 0.125 0.60620455 8e+06 1.632177e+04
## 1672 0.16150824 1.09 1.09 0.2 0.125 4.61406663 8e+06 2.525154e+04
## 1673 0.09288929 1.09 1.09 0.2 0.125 0.77538082 8e+06 1.815275e+04
## 1674 0.15707522 1.09 1.09 0.2 0.125 5.33704533 8e+06 2.330972e+04
## 1675 0.17551813 1.09 1.09 0.2 0.125 0.63412997 8e+06 4.382569e+03
## 1676 0.11850376 1.09 1.09 0.2 0.125 6.91339014 8e+06 7.064864e+03
## 1677 0.32938605 1.09 1.09 0.2 0.125 0.30783371 8e+06 1.307499e+04
## 1678 0.13318158 1.09 1.09 0.2 0.125 11.85649488 8e+06 2.271466e+04
## 1679 0.23357280 1.09 1.09 0.2 0.125 0.99838668 8e+06 2.578736e+03
## 1680 0.53382037 1.09 1.09 0.2 0.125 3.00328900 8e+06 2.641257e+03
## 1681 0.19799513 1.09 1.09 0.2 0.125 0.27151592 8e+06 1.831633e+04
## 1682 0.77308160 1.09 1.09 0.2 0.125 7.70205057 8e+06 3.031266e+04
## 1683 0.18950879 1.09 1.09 0.2 0.125 0.29389388 8e+06 4.313039e+03
## 1684 0.12754846 1.09 1.09 0.2 0.125 11.78487843 8e+06 8.841669e+03
## 1685 0.35098184 1.09 1.09 0.2 0.125 0.62611417 8e+06 1.333938e+03
## 1686 0.16294720 1.09 1.09 0.2 0.125 2.55796570 8e+06 1.439415e+03
## 1687 0.26121894 1.09 1.09 0.2 0.125 0.95797474 8e+06 6.336855e+03
## 1688 0.12061745 1.09 1.09 0.2 0.125 10.44512117 8e+06 8.879590e+03
## 1689 0.26823637 1.09 1.09 0.2 0.125 0.31906010 8e+06 7.340676e+03
## 1690 0.18345755 1.09 1.09 0.2 0.125 12.45885178 8e+06 1.207627e+04
## 1691 0.18413302 1.09 1.09 0.2 0.125 0.72733880 8e+06 5.064177e+03
## 1692 0.12488188 1.09 1.09 0.2 0.125 6.48421042 8e+06 7.173249e+03
## 1693 0.19155222 1.09 1.09 0.2 0.125 0.70837375 8e+06 1.135061e+04
## 1694 0.13051391 1.09 1.09 0.2 0.125 4.62197523 8e+06 1.566864e+04
## 1695 0.06899866 1.09 1.09 0.2 0.125 0.89515173 8e+06 8.401183e+03
## 1696 0.56330076 1.09 1.09 0.2 0.125 10.02818652 8e+06 1.674147e+04
## 1697 0.25325299 1.09 1.09 0.2 0.125 0.25018554 8e+06 1.207227e+04
## 1698 0.57486240 1.09 1.09 0.2 0.125 3.54290533 8e+06 2.047124e+04
## 1699 0.09358396 1.09 1.09 0.2 0.125 0.46681859 8e+06 3.291675e+03
## 1700 0.11257339 1.09 1.09 0.2 0.125 9.67768176 8e+06 4.643718e+03
## 1701 0.20121580 1.09 1.09 0.2 0.125 0.99199119 8e+06 8.041631e+03
## 1702 0.13001456 1.09 1.09 0.2 0.125 6.72697565 8e+06 8.589509e+03
## 1703 0.23284289 1.09 1.09 0.2 0.125 0.42554424 8e+06 6.148151e+03
## 1704 0.52228819 1.09 1.09 0.2 0.125 4.49822841 8e+06 7.375636e+03
## 1705 0.09417536 1.09 1.09 0.2 0.125 0.60157859 8e+06 1.898294e+04
## 1706 0.59820335 1.09 1.09 0.2 0.125 6.09882102 8e+06 3.144095e+04
## 1707 0.06514957 1.09 1.09 0.2 0.125 0.95887940 8e+06 1.936422e+04
## 1708 0.23152956 1.09 1.09 0.2 0.125 10.14636257 8e+06 2.353445e+04
## 1709 0.34700082 1.09 1.09 0.2 0.125 0.32220005 8e+06 5.144076e+03
## 1710 0.09695975 1.09 1.09 0.2 0.125 1.38858640 8e+06 6.072145e+03
## 1711 0.37438585 1.09 1.09 0.2 0.125 0.98415718 8e+06 1.136076e+04
## 1712 0.20975017 1.09 1.09 0.2 0.125 4.91827718 8e+06 1.415047e+04
## 1713 0.17033176 1.09 1.09 0.2 0.125 0.90414325 8e+06 1.053671e+03
## 1714 0.11500595 1.09 1.09 0.2 0.125 3.29668938 8e+06 1.335890e+03
## 1715 0.30212374 1.09 1.09 0.2 0.125 0.80040334 8e+06 1.626663e+04
## 1716 0.18227323 1.09 1.09 0.2 0.125 3.34915661 8e+06 2.530320e+04
## 1717 0.38385169 1.09 1.09 0.2 0.125 0.46369069 8e+06 3.240139e+02
## 1718 0.50800470 1.09 1.09 0.2 0.125 1.12216731 8e+06 3.395145e+02
## 1719 0.27255219 1.09 1.09 0.2 0.125 0.89441767 8e+06 5.333580e+02
## 1720 0.09964542 1.09 1.09 0.2 0.125 16.50093415 8e+06 4.378400e+02
## 1721 0.08111836 1.09 1.09 0.2 0.125 0.40084959 8e+06 2.771402e+03
## 1722 0.11099432 1.09 1.09 0.2 0.125 22.74157859 8e+06 4.467148e+03
## 1723 0.05298206 1.09 1.09 0.2 0.125 0.51977613 8e+06 5.160198e+03
## 1724 0.12322915 1.09 1.09 0.2 0.125 3.43229954 8e+06 8.827305e+03
## 1725 0.06798654 1.09 1.09 0.2 0.125 0.91716931 8e+06 1.497196e+04
## 1726 0.20229704 1.09 1.09 0.2 0.125 5.14692289 8e+06 1.179066e+04
## 1727 0.28017516 1.09 1.09 0.2 0.125 0.50074774 8e+06 1.394112e+04
## 1728 0.14078796 1.09 1.09 0.2 0.125 2.81723548 8e+06 1.681740e+04
## 1729 0.33193379 1.09 1.09 0.2 0.125 0.60250094 8e+06 1.744570e+04
## 1730 0.14761439 1.09 1.09 0.2 0.125 21.34375145 8e+06 2.681070e+04
## 1731 0.24281712 1.09 1.09 0.2 0.125 0.33999888 8e+06 4.993376e+03
## 1732 0.65775205 1.09 1.09 0.2 0.125 1.94361826 8e+06 7.654825e+03
## 1733 0.38025821 1.09 1.09 0.2 0.125 0.30428424 8e+06 6.618923e+03
## 1734 0.13285887 1.09 1.09 0.2 0.125 4.10804574 8e+06 1.295984e+04
## 1735 0.30403001 1.09 1.09 0.2 0.125 0.24257447 8e+06 1.742368e+04
## 1736 0.17849950 1.09 1.09 0.2 0.125 6.44264428 8e+06 1.760605e+04
## 1737 0.38805956 1.09 1.09 0.2 0.125 0.90474540 8e+06 1.225957e+04
## 1738 0.80682165 1.09 1.09 0.2 0.125 3.46563079 8e+06 1.386125e+04
## 1739 0.29541354 1.09 1.09 0.2 0.125 0.84593904 8e+06 2.493981e+03
## 1740 0.55081462 1.09 1.09 0.2 0.125 1.43693007 8e+06 3.978572e+03
## 1741 0.39041020 1.09 1.09 0.2 0.125 0.39040757 8e+06 1.140825e+04
## 1742 0.18190787 1.09 1.09 0.2 0.125 5.02572837 8e+06 1.891245e+04
## 1743 0.33287535 1.09 1.09 0.2 0.125 0.66508247 8e+06 1.527386e+04
## 1744 0.14907205 1.09 1.09 0.2 0.125 4.81211341 8e+06 2.522102e+04
## 1745 0.25367656 1.09 1.09 0.2 0.125 0.86050211 8e+06 9.827775e+03
## 1746 0.60050485 1.09 1.09 0.2 0.125 1.77364369 8e+06 1.487480e+04
## 1747 0.34973205 1.09 1.09 0.2 0.125 0.78029218 8e+06 1.682912e+03
## 1748 0.10943826 1.09 1.09 0.2 0.125 4.25386087 8e+06 2.296161e+03
## 1749 0.16238670 1.09 1.09 0.2 0.125 0.26118418 8e+06 1.870257e+04
## 1750 0.23764449 1.09 1.09 0.2 0.125 6.71315970 8e+06 1.366975e+04
## 1751 0.09573000 1.09 1.09 0.2 0.125 0.31151381 8e+06 1.702653e+04
## 1752 0.17962274 1.09 1.09 0.2 0.125 4.14531841 8e+06 2.523000e+04
## 1753 0.32722825 1.09 1.09 0.2 0.125 0.46207269 8e+06 1.985695e+04
## 1754 0.80730448 1.09 1.09 0.2 0.125 1.28235384 8e+06 2.319700e+04
## 1755 0.21737179 1.09 1.09 0.2 0.125 0.26338736 8e+06 5.083532e+03
## 1756 0.15710960 1.09 1.09 0.2 0.125 4.75250026 8e+06 8.491944e+03
## 1757 0.08777465 1.09 1.09 0.2 0.125 0.59295927 8e+06 1.449088e+04
## 1758 0.04811390 1.09 1.09 0.2 0.125 57.66052939 8e+06 2.900608e+04
## 1759 0.34661897 1.09 1.09 0.2 0.125 0.87089079 8e+06 8.615552e+03
## 1760 0.56870588 1.09 1.09 0.2 0.125 2.02958148 8e+06 1.758986e+04
## 1761 0.05471376 1.09 1.09 0.2 0.125 0.94830437 8e+06 9.959822e+03
## 1762 0.16020605 1.09 1.09 0.2 0.125 6.39408641 8e+06 2.293755e+04
## 1763 0.19294235 1.09 1.09 0.2 0.125 0.62528412 8e+06 1.106669e+04
## 1764 0.14154593 1.09 1.09 0.2 0.125 2.35468662 8e+06 2.123087e+04
## 1765 0.39502062 1.09 1.09 0.2 0.125 0.61850426 8e+06 1.746193e+04
## 1766 0.16860023 1.09 1.09 0.2 0.125 2.95375106 8e+06 2.833568e+04
## 1767 0.07044274 1.09 1.09 0.2 0.125 0.49763137 8e+06 1.715974e+03
## 1768 0.51218103 1.09 1.09 0.2 0.125 1.40653370 8e+06 1.532183e+03
## 1769 0.05229802 1.09 1.09 0.2 0.125 0.20456964 8e+06 5.082176e+01
## 1770 0.09804314 1.09 1.09 0.2 0.125 5.70149877 8e+06 5.557333e+01
## 1771 0.23726099 1.09 1.09 0.2 0.125 0.29269171 8e+06 1.137242e+04
## 1772 0.13777871 1.09 1.09 0.2 0.125 6.67863513 8e+06 2.062545e+04
## 1773 0.19029177 1.09 1.09 0.2 0.125 0.57254104 8e+06 1.432476e+04
## 1774 0.16761446 1.09 1.09 0.2 0.125 21.27236794 8e+06 2.489915e+04
## 1775 0.19108980 1.09 1.09 0.2 0.125 0.92177734 8e+06 1.738654e+04
## 1776 0.16598628 1.09 1.09 0.2 0.125 29.63743354 8e+06 3.321645e+04
## 1777 0.18915457 1.09 1.09 0.2 0.125 0.85179947 8e+06 1.056105e+04
## 1778 0.17690198 1.09 1.09 0.2 0.125 3.69405071 8e+06 1.092521e+04
## 1779 0.21941629 1.09 1.09 0.2 0.125 0.38690708 8e+06 9.569091e+03
## 1780 0.13717472 1.09 1.09 0.2 0.125 3.49611269 8e+06 1.595717e+04
## 1781 0.16447854 1.09 1.09 0.2 0.125 0.67954780 8e+06 1.948500e+04
## 1782 0.15186655 1.09 1.09 0.2 0.125 151.73218822 8e+06 2.295957e+04
## 1783 0.10212421 1.09 1.09 0.2 0.125 0.85090590 8e+06 1.362807e+04
## 1784 0.20903524 1.09 1.09 0.2 0.125 8.80373270 8e+06 1.613496e+04
## 1785 0.06277660 1.09 1.09 0.2 0.125 0.46524525 8e+06 1.701881e+03
## 1786 0.12961762 1.09 1.09 0.2 0.125 4.10569698 8e+06 2.851127e+03
## 1787 0.23496890 1.09 1.09 0.2 0.125 0.66483746 8e+06 9.296172e+03
## 1788 0.14559857 1.09 1.09 0.2 0.125 4.71082553 8e+06 1.808434e+04
## 1789 0.21797693 1.09 1.09 0.2 0.125 0.95778550 8e+06 1.173421e+04
## 1790 0.55827991 1.09 1.09 0.2 0.125 1.86732724 8e+06 1.679792e+04
## 1791 0.39210948 1.09 1.09 0.2 0.125 0.59990068 8e+06 7.855468e+03
## 1792 0.15688312 1.09 1.09 0.2 0.125 5.13800939 8e+06 1.325842e+04
## 1793 0.36151271 1.09 1.09 0.2 0.125 0.81130306 8e+06 8.940417e+03
## 1794 0.13627283 1.09 1.09 0.2 0.125 11.61034968 8e+06 1.251363e+04
## 1795 0.14636860 1.09 1.09 0.2 0.125 0.91796065 8e+06 3.958250e+03
## 1796 0.11377236 1.09 1.09 0.2 0.125 5.00580869 8e+06 6.362929e+03
## 1797 0.25244776 1.09 1.09 0.2 0.125 0.55685017 8e+06 1.268393e+04
## 1798 0.16198528 1.09 1.09 0.2 0.125 18.51588632 8e+06 1.986122e+04
## 1799 0.22235307 1.09 1.09 0.2 0.125 0.98671115 8e+06 1.096152e+04
## 1800 0.15135966 1.09 1.09 0.2 0.125 35.37214816 8e+06 2.002656e+04
## 1801 0.24835017 1.09 1.09 0.2 0.125 0.38785239 8e+06 1.833813e+04
## 1802 0.18063070 1.09 1.09 0.2 0.125 9.79606063 8e+06 2.564736e+04
## 1803 0.30981567 1.09 1.09 0.2 0.125 0.42805089 8e+06 1.759913e+04
## 1804 0.17126885 1.09 1.09 0.2 0.125 10.48729490 8e+06 2.547260e+04
## 1805 0.10769406 1.09 1.09 0.2 0.125 0.36915245 8e+06 1.480401e+04
## 1806 0.15337436 1.09 1.09 0.2 0.125 7.62768426 8e+06 2.297882e+04
## 1807 0.14595016 1.09 1.09 0.2 0.125 0.54245345 8e+06 1.798241e+04
## 1808 0.15108063 1.09 1.09 0.2 0.125 4.25486992 8e+06 2.958794e+04
## 1809 0.27194773 1.09 1.09 0.2 0.125 0.44233887 8e+06 3.776891e+02
## 1810 0.10564682 1.09 1.09 0.2 0.125 8.39612445 8e+06 4.571151e+02
## 1811 0.17721512 1.09 1.09 0.2 0.125 0.79807433 8e+06 1.001522e+04
## 1812 0.57629584 1.09 1.09 0.2 0.125 5.41117781 8e+06 1.573773e+04
## 1813 0.25002247 1.09 1.09 0.2 0.125 0.57948807 8e+06 1.426516e+04
## 1814 0.64099484 1.09 1.09 0.2 0.125 1.49925040 8e+06 2.684063e+04
## 1815 0.34797528 1.09 1.09 0.2 0.125 0.65227025 8e+06 6.410521e+03
## 1816 0.15430099 1.09 1.09 0.2 0.125 8.33369658 8e+06 1.211125e+04
## 1817 0.39138277 1.09 1.09 0.2 0.125 0.80115509 8e+06 1.739948e+03
## 1818 0.61104431 1.09 1.09 0.2 0.125 4.95498488 8e+06 2.581214e+03
## 1819 0.22950231 1.09 1.09 0.2 0.125 0.82455825 8e+06 1.266386e+04
## 1820 0.12923887 1.09 1.09 0.2 0.125 9.34288175 8e+06 2.432394e+04
## 1821 0.12050953 1.09 1.09 0.2 0.125 0.28113408 8e+06 7.475908e+03
## 1822 0.12234481 1.09 1.09 0.2 0.125 2.09564891 8e+06 9.322524e+03
## 1823 0.08505756 1.09 1.09 0.2 0.125 0.21933869 8e+06 1.793278e+04
## 1824 0.20261296 1.09 1.09 0.2 0.125 9.73364820 8e+06 2.491653e+04
## 1825 0.18486938 1.09 1.09 0.2 0.125 0.86676280 8e+06 2.269505e+03
## 1826 0.12717719 1.09 1.09 0.2 0.125 2.79083566 8e+06 3.525437e+03
## 1827 0.12913848 1.09 1.09 0.2 0.125 0.30258377 8e+06 2.230507e+03
## 1828 0.11004706 1.09 1.09 0.2 0.125 4.91587586 8e+06 3.128684e+03
## 1829 0.25542257 1.09 1.09 0.2 0.125 0.69466906 8e+06 1.779711e+04
## 1830 0.05814081 1.09 1.09 0.2 0.125 1.52169651 8e+06 4.052328e+04
## 1831 0.39798645 1.09 1.09 0.2 0.125 0.87598970 8e+06 8.508918e+03
## 1832 0.14420823 1.09 1.09 0.2 0.125 5.32035184 8e+06 1.337664e+04
## 1833 0.19659453 1.09 1.09 0.2 0.125 0.30546085 8e+06 8.046180e+03
## 1834 0.14452193 1.09 1.09 0.2 0.125 6.76195884 8e+06 1.438527e+04
## 1835 0.12088317 1.09 1.09 0.2 0.125 0.69013001 8e+06 1.090574e+04
## 1836 0.83090053 1.09 1.09 0.2 0.125 1.41960308 8e+06 1.233670e+04
## 1837 0.10786458 1.09 1.09 0.2 0.125 0.25235972 8e+06 1.381133e+04
## 1838 0.14960905 1.09 1.09 0.2 0.125 7.66361518 8e+06 2.213379e+04
## 1839 0.38019521 1.09 1.09 0.2 0.125 0.88353558 8e+06 1.677125e+04
## 1840 0.13933834 1.09 1.09 0.2 0.125 3.77431823 8e+06 2.123385e+04
## 1841 0.30313832 1.09 1.09 0.2 0.125 0.54076609 8e+06 6.586825e+03
## 1842 0.14732962 1.09 1.09 0.2 0.125 6.79878040 8e+06 1.076474e+04
## 1843 0.14433652 1.09 1.09 0.2 0.125 0.30363514 8e+06 1.912419e+04
## 1844 0.55055807 1.09 1.09 0.2 0.125 4.03776507 8e+06 2.013142e+04
## 1845 0.07736351 1.09 1.09 0.2 0.125 0.51891913 8e+06 7.313971e+03
## 1846 0.13539460 1.09 1.09 0.2 0.125 5.89722677 8e+06 1.089604e+04
## 1847 0.37224027 1.09 1.09 0.2 0.125 0.61802203 8e+06 6.188302e+03
## 1848 0.55186685 1.09 1.09 0.2 0.125 3.29872884 8e+06 9.957924e+03
## 1849 0.35495240 1.09 1.09 0.2 0.125 0.93733972 8e+06 4.988887e+03
## 1850 0.13306242 1.09 1.09 0.2 0.125 3.17223564 8e+06 1.048745e+04
## 1851 0.08385356 1.09 1.09 0.2 0.125 0.70550755 8e+06 1.099107e+03
## 1852 0.16778729 1.09 1.09 0.2 0.125 3.10475048 8e+06 1.941850e+03
## 1853 0.25331646 1.09 1.09 0.2 0.125 0.31462759 8e+06 8.758042e+03
## 1854 0.13715166 1.09 1.09 0.2 0.125 18.08586174 8e+06 1.387582e+04
## 1855 0.30005228 1.09 1.09 0.2 0.125 0.40836274 8e+06 1.857008e+04
## 1856 0.59383608 1.09 1.09 0.2 0.125 2.46921091 8e+06 3.022030e+04
## 1857 0.30870149 1.09 1.09 0.2 0.125 0.56989592 8e+06 1.496880e+04
## 1858 0.15952839 1.09 1.09 0.2 0.125 4.38405091 8e+06 2.254995e+04
## 1859 0.29273062 1.09 1.09 0.2 0.125 0.25351894 8e+06 4.682457e+03
## 1860 0.28371445 1.09 1.09 0.2 0.125 4.30532687 8e+06 8.517417e+03
## 1861 0.14966535 1.09 1.09 0.2 0.125 0.62749923 8e+06 4.414269e+03
## 1862 0.12969441 1.09 1.09 0.2 0.125 18.65173992 8e+06 8.507611e+03
## 1863 0.10930486 1.09 1.09 0.2 0.125 0.24437643 8e+06 8.582658e+03
## 1864 0.14733413 1.09 1.09 0.2 0.125 13.23740277 8e+06 1.632483e+04
## 1865 0.32885420 1.09 1.09 0.2 0.125 0.67344916 8e+06 4.976866e+03
## 1866 0.14240870 1.09 1.09 0.2 0.125 4.48902933 8e+06 8.068717e+03
## 1867 0.25403241 1.09 1.09 0.2 0.125 0.41879927 8e+06 1.349764e+04
## 1868 0.26510310 1.09 1.09 0.2 0.125 5.65822484 8e+06 9.877858e+03
## 1869 0.22072712 1.09 1.09 0.2 0.125 0.76049419 8e+06 1.702194e+04
## 1870 0.17813354 1.09 1.09 0.2 0.125 20.98814154 8e+06 2.029536e+04
## 1871 0.31655826 1.09 1.09 0.2 0.125 0.25782207 8e+06 2.292038e+03
## 1872 0.10022985 1.09 1.09 0.2 0.125 4.27473772 8e+06 2.668985e+03
## 1873 0.24809410 1.09 1.09 0.2 0.125 0.38164006 8e+06 5.167586e+03
## 1874 0.55000128 1.09 1.09 0.2 0.125 3.89867049 8e+06 6.704944e+03
## 1875 0.24080663 1.09 1.09 0.2 0.125 0.71770562 8e+06 7.341457e+03
## 1876 0.15194293 1.09 1.09 0.2 0.125 8.05559712 8e+06 1.389466e+04
## 1877 0.10097024 1.09 1.09 0.2 0.125 0.32153747 8e+06 1.874347e+04
## 1878 0.14263862 1.09 1.09 0.2 0.125 9.13183646 8e+06 3.281235e+04
## 1879 0.16062019 1.09 1.09 0.2 0.125 0.61047486 8e+06 1.226031e+03
## 1880 0.10461174 1.09 1.09 0.2 0.125 5.64091286 8e+06 1.651394e+03
## 1881 0.20502629 1.09 1.09 0.2 0.125 0.75482146 8e+06 1.126696e+04
## 1882 0.19806947 1.09 1.09 0.2 0.125 7.46401831 8e+06 1.296782e+04
## 1883 0.35890259 1.09 1.09 0.2 0.125 0.57484336 8e+06 5.796905e+03
## 1884 0.12955153 1.09 1.09 0.2 0.125 33.90822099 8e+06 9.277599e+03
## 1885 0.18506431 1.09 1.09 0.2 0.125 0.84011219 8e+06 3.738805e+03
## 1886 0.15115362 1.09 1.09 0.2 0.125 4.75357897 8e+06 7.780541e+03
## 1887 0.09387652 1.09 1.09 0.2 0.125 0.92158633 8e+06 1.086502e+04
## 1888 0.68884670 1.09 1.09 0.2 0.125 10.26247696 8e+06 1.340920e+04
## 1889 0.31684537 1.09 1.09 0.2 0.125 0.54502046 8e+06 1.609057e+02
## 1890 0.03904465 1.09 1.09 0.2 0.125 5.96210842 8e+06 1.732930e+02
## 1891 0.32635467 1.09 1.09 0.2 0.125 0.98200144 8e+06 1.181617e+04
## 1892 0.14633682 1.09 1.09 0.2 0.125 8.01320325 8e+06 2.342649e+04
## 1893 0.36688597 1.09 1.09 0.2 0.125 0.28785268 8e+06 1.863455e+04
## 1894 0.21348043 1.09 1.09 0.2 0.125 34.86086361 8e+06 2.054555e+04
## 1895 0.11976561 1.09 1.09 0.2 0.125 0.67267775 8e+06 1.709120e+04
## 1896 0.25115467 1.09 1.09 0.2 0.125 7.56304248 8e+06 1.024832e+04
## 1897 0.27621277 1.09 1.09 0.2 0.125 0.95737292 8e+06 1.447129e+04
## 1898 0.16148451 1.09 1.09 0.2 0.125 8.01302918 8e+06 2.111337e+04
## 1899 0.11129462 1.09 1.09 0.2 0.125 0.93668551 8e+06 1.303796e+04
## 1900 0.25504968 1.09 1.09 0.2 0.125 7.60640116 8e+06 1.494435e+04
## 1901 0.07010519 1.09 1.09 0.2 0.125 0.95426524 8e+06 1.608256e+04
## 1902 0.58987774 1.09 1.09 0.2 0.125 3.79394320 8e+06 2.599061e+04
## 1903 0.07890958 1.09 1.09 0.2 0.125 0.51381285 8e+06 1.998179e+04
## 1904 0.59137134 1.09 1.09 0.2 0.125 3.74294133 8e+06 3.387545e+04
## 1905 0.08483578 1.09 1.09 0.2 0.125 0.31348836 8e+06 1.986549e+04
## 1906 0.15651660 1.09 1.09 0.2 0.125 5.92426486 8e+06 3.276286e+04
## 1907 0.13863786 1.09 1.09 0.2 0.125 0.20646987 8e+06 7.562342e+03
## 1908 0.53277282 1.09 1.09 0.2 0.125 1.81430328 8e+06 1.065485e+04
## 1909 0.12267058 1.09 1.09 0.2 0.125 0.45500680 8e+06 7.636324e+03
## 1910 0.17861766 1.09 1.09 0.2 0.125 3.32596012 8e+06 1.195021e+04
## 1911 0.28073413 1.09 1.09 0.2 0.125 0.62717891 8e+06 8.181287e+03
## 1912 0.13553155 1.09 1.09 0.2 0.125 5.18306242 8e+06 1.122446e+04
## 1913 0.26312902 1.09 1.09 0.2 0.125 0.82289006 8e+06 1.818348e+03
## 1914 0.11842059 1.09 1.09 0.2 0.125 7.29983120 8e+06 2.211330e+03
## 1915 0.23597484 1.09 1.09 0.2 0.125 0.59315695 8e+06 1.987031e+04
## 1916 0.20298316 1.09 1.09 0.2 0.125 5.81644464 8e+06 2.304901e+04
## 1917 0.08410200 1.09 1.09 0.2 0.125 0.34305640 8e+06 3.519793e+03
## 1918 0.12574669 1.09 1.09 0.2 0.125 3.52975575 8e+06 7.083049e+03
## 1919 0.30874793 1.09 1.09 0.2 0.125 0.36976648 8e+06 1.147262e+04
## 1920 0.16316026 1.09 1.09 0.2 0.125 4.31164432 8e+06 1.848209e+04
## 1921 0.26420717 1.09 1.09 0.2 0.125 0.44724240 8e+06 1.006267e+04
## 1922 0.56518761 1.09 1.09 0.2 0.125 1.19352165 8e+06 1.094313e+04
## 1923 0.34029532 1.09 1.09 0.2 0.125 0.20191410 8e+06 1.134296e+04
## 1924 0.14839474 1.09 1.09 0.2 0.125 12.04674918 8e+06 1.496915e+04
## 1925 0.36626239 1.09 1.09 0.2 0.125 0.32166506 8e+06 1.047028e+04
## 1926 0.17733394 1.09 1.09 0.2 0.125 5.46907576 8e+06 1.586224e+04
## 1927 0.33464120 1.09 1.09 0.2 0.125 0.35321271 8e+06 1.214587e+04
## 1928 0.59716232 1.09 1.09 0.2 0.125 4.27651576 8e+06 2.750842e+04
## 1929 0.12447789 1.09 1.09 0.2 0.125 0.53694470 8e+06 1.575242e+04
## 1930 0.57468569 1.09 1.09 0.2 0.125 2.50898820 8e+06 2.208926e+04
## 1931 0.14948689 1.09 1.09 0.2 0.125 0.85987324 8e+06 7.778029e+03
## 1932 0.15317101 1.09 1.09 0.2 0.125 39.75042162 8e+06 1.106706e+04
## 1933 0.14309227 1.09 1.09 0.2 0.125 0.34280659 8e+06 1.149597e+04
## 1934 0.18530878 1.09 1.09 0.2 0.125 5.94432161 8e+06 2.005942e+04
## 1935 0.09959850 1.09 1.09 0.2 0.125 0.59745613 8e+06 1.832928e+04
## 1936 0.18488973 1.09 1.09 0.2 0.125 7.96155291 8e+06 3.305971e+04
## 1937 0.08548777 1.09 1.09 0.2 0.125 0.87823666 8e+06 1.921571e+04
## 1938 0.20068866 1.09 1.09 0.2 0.125 15.71015079 8e+06 3.120465e+04
## 1939 0.38244237 1.09 1.09 0.2 0.125 0.36387495 8e+06 5.089953e+03
## 1940 0.14457826 1.09 1.09 0.2 0.125 11.50346717 8e+06 8.846892e+03
## 1941 0.32931937 1.09 1.09 0.2 0.125 0.73871611 8e+06 7.680725e+03
## 1942 0.15455011 1.09 1.09 0.2 0.125 4.35666112 8e+06 9.631322e+03
## 1943 0.12385287 1.09 1.09 0.2 0.125 0.48240084 8e+06 1.466763e+04
## 1944 0.15248152 1.09 1.09 0.2 0.125 10.05794364 8e+06 2.197777e+04
## 1945 0.08701607 1.09 1.09 0.2 0.125 0.20219956 8e+06 4.974210e+03
## 1946 0.06556501 1.09 1.09 0.2 0.125 2.24644673 8e+06 6.629416e+03
## 1947 0.36054645 1.09 1.09 0.2 0.125 0.43479949 8e+06 1.270809e+04
## 1948 0.14360704 1.09 1.09 0.2 0.125 6.65104264 8e+06 2.411120e+04
## 1949 0.36936231 1.09 1.09 0.2 0.125 0.86591591 8e+06 5.616026e+03
## 1950 0.12653284 1.09 1.09 0.2 0.125 4.44759624 8e+06 9.836314e+03
## 1951 0.24105385 1.09 1.09 0.2 0.125 0.27892625 8e+06 1.023074e+04
## 1952 0.55048093 1.09 1.09 0.2 0.125 3.49135410 8e+06 1.308478e+04
## 1953 0.33813407 1.09 1.09 0.2 0.125 0.20682736 8e+06 1.118619e+04
## 1954 0.14782468 1.09 1.09 0.2 0.125 18.87575628 8e+06 1.689810e+04
## 1955 0.38710460 1.09 1.09 0.2 0.125 0.46494747 8e+06 1.991949e+04
## 1956 0.16527974 1.09 1.09 0.2 0.125 3.46986554 8e+06 2.644208e+04
## 1957 0.14716193 1.09 1.09 0.2 0.125 0.68339848 8e+06 7.686068e+03
## 1958 0.22958666 1.09 1.09 0.2 0.125 7.70165748 8e+06 9.244925e+03
## 1959 0.25486641 1.09 1.09 0.2 0.125 0.27945877 8e+06 1.910401e+04
## 1960 0.15072836 1.09 1.09 0.2 0.125 7.53383321 8e+06 3.319904e+04
## 1961 0.12474009 1.09 1.09 0.2 0.125 0.37404503 8e+06 1.378991e+04
## 1962 0.18796172 1.09 1.09 0.2 0.125 1.53940657 8e+06 1.091291e+04
## 1963 0.08105889 1.09 1.09 0.2 0.125 0.55599898 8e+06 1.586838e+04
## 1964 0.72352530 1.09 1.09 0.2 0.125 3.36159213 8e+06 2.126049e+04
## 1965 0.35901881 1.09 1.09 0.2 0.125 0.22799929 8e+06 7.917613e+03
## 1966 0.13735955 1.09 1.09 0.2 0.125 5.88890938 8e+06 1.498784e+04
## 1967 0.22928898 1.09 1.09 0.2 0.125 0.26203573 8e+06 1.100520e+04
## 1968 0.13671855 1.09 1.09 0.2 0.125 13.34626321 8e+06 2.128750e+04
## 1969 0.10751759 1.09 1.09 0.2 0.125 0.95462938 8e+06 1.697389e+04
## 1970 0.74169221 1.09 1.09 0.2 0.125 6.08560625 8e+06 2.077208e+04
## 1971 0.16319595 1.09 1.09 0.2 0.125 0.58410999 8e+06 9.870561e+02
## 1972 0.10899427 1.09 1.09 0.2 0.125 4.36971012 8e+06 1.164078e+03
## 1973 0.11113718 1.09 1.09 0.2 0.125 0.75711337 8e+06 8.440592e+03
## 1974 0.20710430 1.09 1.09 0.2 0.125 6.01436110 8e+06 1.042072e+04
## 1975 0.20331583 1.09 1.09 0.2 0.125 0.69636819 8e+06 1.712976e+04
## 1976 0.15682560 1.09 1.09 0.2 0.125 6.21109403 8e+06 2.228628e+04
## 1977 0.37982328 1.09 1.09 0.2 0.125 0.71517027 8e+06 4.967873e+03
## 1978 0.54011788 1.09 1.09 0.2 0.125 1.41246830 8e+06 7.822955e+03
## 1979 0.10706195 1.09 1.09 0.2 0.125 0.54908131 8e+06 9.586391e+03
## 1980 0.30406361 1.09 1.09 0.2 0.125 2.63070210 8e+06 1.020226e+04
## 1981 0.14865743 1.09 1.09 0.2 0.125 0.33867705 8e+06 7.649770e+03
## 1982 0.16519191 1.09 1.09 0.2 0.125 5.08704748 8e+06 1.064590e+04
## 1983 0.06428707 1.09 1.09 0.2 0.125 0.34869077 8e+06 1.026089e+04
## 1984 0.57844900 1.09 1.09 0.2 0.125 1.43692394 8e+06 1.529530e+04
## 1985 0.07433370 1.09 1.09 0.2 0.125 0.96093176 8e+06 1.757511e+04
## 1986 0.16973752 1.09 1.09 0.2 0.125 5.05962741 8e+06 3.068236e+04
## 1987 0.09914834 1.09 1.09 0.2 0.125 0.86150677 8e+06 1.893363e+04
## 1988 0.58863864 1.09 1.09 0.2 0.125 10.59824420 8e+06 2.742242e+04
## 1989 0.33714861 1.09 1.09 0.2 0.125 0.83791873 8e+06 1.553842e+04
## 1990 0.56272507 1.09 1.09 0.2 0.125 7.23011199 8e+06 1.926288e+04
## 1991 0.37015387 1.09 1.09 0.2 0.125 0.28191687 8e+06 5.157640e+03
## 1992 0.14457303 1.09 1.09 0.2 0.125 3.88993382 8e+06 1.085348e+04
## 1993 0.30380393 1.09 1.09 0.2 0.125 0.59810118 8e+06 1.975027e+04
## 1994 0.61331852 1.09 1.09 0.2 0.125 2.56752565 8e+06 3.735877e+04
## 1995 0.35586626 1.09 1.09 0.2 0.125 0.96307594 8e+06 1.135229e+04
## 1996 0.15438180 1.09 1.09 0.2 0.125 6.19332469 8e+06 1.769619e+04
## 1997 0.22660331 1.09 1.09 0.2 0.125 0.87352881 8e+06 3.781114e+03
## 1998 0.61267376 1.09 1.09 0.2 0.125 1.21361966 8e+06 5.238609e+03
## 1999 0.08392501 1.09 1.09 0.2 0.125 0.37529416 8e+06 6.258357e+03
## 2000 0.16348856 1.09 1.09 0.2 0.125 9.15511941 8e+06 1.067098e+04
## 2001 0.30570167 1.09 1.09 0.2 0.125 0.44816456 8e+06 1.324912e+04
## 2002 0.14678520 1.09 1.09 0.2 0.125 3.61078491 8e+06 2.376466e+04
## 2003 0.10919017 1.09 1.09 0.2 0.125 0.52784364 8e+06 3.461307e+03
## 2004 0.13091386 1.09 1.09 0.2 0.125 5.77261402 8e+06 6.986940e+03
## 2005 0.30466923 1.09 1.09 0.2 0.125 0.56771801 8e+06 9.351637e+03
## 2006 0.19888642 1.09 1.09 0.2 0.125 7.34003059 8e+06 1.038911e+04
## 2007 0.27008731 1.09 1.09 0.2 0.125 0.71027292 8e+06 4.627852e+03
## 2008 0.11687124 1.09 1.09 0.2 0.125 4.69520230 8e+06 7.050818e+03
## 2009 0.36856727 1.09 1.09 0.2 0.125 0.54746706 8e+06 1.513009e+04
## 2010 0.16134630 1.09 1.09 0.2 0.125 10.64380697 8e+06 2.281402e+04
## 2011 0.15244759 1.09 1.09 0.2 0.125 0.57920217 8e+06 4.058905e+03
## 2012 0.03300234 1.09 1.09 0.2 0.125 0.27466792 8e+06 5.919065e+03
## 2013 0.20113623 1.09 1.09 0.2 0.125 0.45859200 8e+06 6.064916e+03
## 2014 0.12617208 1.09 1.09 0.2 0.125 13.41467791 8e+06 9.729992e+03
## 2015 0.05067592 1.09 1.09 0.2 0.125 0.48217539 8e+06 1.340168e+04
## 2016 0.14862339 1.09 1.09 0.2 0.125 14.48063841 8e+06 2.785812e+04
## 2017 0.19261628 1.09 1.09 0.2 0.125 0.70210273 8e+06 7.746116e+03
## 2018 0.13933139 1.09 1.09 0.2 0.125 7.42105584 8e+06 1.210779e+04
## 2019 0.06969133 1.09 1.09 0.2 0.125 0.37600682 8e+06 1.409583e+04
## 2020 0.17342511 1.09 1.09 0.2 0.125 6.84632133 8e+06 2.410561e+04
## 2021 0.21913669 1.09 1.09 0.2 0.125 0.67164093 8e+06 1.235471e+04
## 2022 0.14436090 1.09 1.09 0.2 0.125 13.18662060 8e+06 1.870730e+04
## 2023 0.15076661 1.09 1.09 0.2 0.125 0.89069927 8e+06 5.575399e+03
## 2024 0.13124098 1.09 1.09 0.2 0.125 7.31492280 8e+06 8.607402e+03
## 2025 0.19991892 1.09 1.09 0.2 0.125 0.68328014 8e+06 7.876949e+03
## 2026 0.13211831 1.09 1.09 0.2 0.125 4.15612775 8e+06 1.287565e+04
## 2027 0.33885812 1.09 1.09 0.2 0.125 0.66523539 8e+06 1.970345e+04
## 2028 0.15231483 1.09 1.09 0.2 0.125 5.71461099 8e+06 3.349094e+04
## 2029 0.30125470 1.09 1.09 0.2 0.125 0.69717376 8e+06 1.146438e+04
## 2030 0.05057765 1.09 1.09 0.2 0.125 4.21613734 8e+06 1.291332e+04
## 2031 0.38640941 1.09 1.09 0.2 0.125 0.51781478 8e+06 1.250057e+04
## 2032 0.57757759 1.09 1.09 0.2 0.125 9.90761397 8e+06 2.337938e+04
## 2033 0.36026924 1.09 1.09 0.2 0.125 0.82836535 8e+06 8.663332e+03
## 2034 0.14172840 1.09 1.09 0.2 0.125 4.24019324 8e+06 1.436221e+04
## 2035 0.17491763 1.09 1.09 0.2 0.125 0.49304042 8e+06 1.929796e+04
## 2036 0.17532412 1.09 1.09 0.2 0.125 10.03296565 8e+06 2.485026e+04
## 2037 0.26934251 1.09 1.09 0.2 0.125 0.58105511 8e+06 1.595342e+04
## 2038 0.15819140 1.09 1.09 0.2 0.125 1.90822669 8e+06 2.853303e+04
## 2039 0.38410947 1.09 1.09 0.2 0.125 0.47096918 8e+06 1.845088e+04
## 2040 0.16737561 1.09 1.09 0.2 0.125 11.37158257 8e+06 2.595670e+04
## 2041 0.25201973 1.09 1.09 0.2 0.125 0.93487169 8e+06 1.052416e+04
## 2042 0.14166562 1.09 1.09 0.2 0.125 3.32098685 8e+06 1.681520e+04
## 2043 0.18970937 1.09 1.09 0.2 0.125 0.33018901 8e+06 2.887081e+03
## 2044 0.11929969 1.09 1.09 0.2 0.125 4.72712441 8e+06 4.543514e+03
## 2045 0.14239486 1.09 1.09 0.2 0.125 0.73813281 8e+06 2.046094e+03
## 2046 0.10032111 1.09 1.09 0.2 0.125 4.60391399 8e+06 3.225826e+03
## 2047 0.23060935 1.09 1.09 0.2 0.125 0.58778044 8e+06 1.299829e+04
## 2048 0.18312104 1.09 1.09 0.2 0.125 7.71933171 8e+06 1.546448e+04
## 2049 0.16058846 1.09 1.09 0.2 0.125 0.35261568 8e+06 1.804251e+03
## 2050 0.14067798 1.09 1.09 0.2 0.125 4.03751810 8e+06 1.510831e+03
## 2051 0.13550887 1.09 1.09 0.2 0.125 0.79804752 8e+06 3.069512e+03
## 2052 0.11696010 1.09 1.09 0.2 0.125 5.53763123 8e+06 4.344765e+03
## 2053 0.31267476 1.09 1.09 0.2 0.125 0.53490151 8e+06 8.968436e+03
## 2054 0.14271872 1.09 1.09 0.2 0.125 5.83130858 8e+06 1.467083e+04
## 2055 0.11810044 1.09 1.09 0.2 0.125 0.21604815 8e+06 3.262066e+03
## 2056 0.54094001 1.09 1.09 0.2 0.125 12.92790004 8e+06 4.296648e+03
## 2057 0.09913763 1.09 1.09 0.2 0.125 0.41838398 8e+06 4.025140e+03
## 2058 0.12121948 1.09 1.09 0.2 0.125 6.78958023 8e+06 6.214383e+03
## 2059 0.17505645 1.09 1.09 0.2 0.125 0.22714008 8e+06 4.375571e+02
## 2060 0.10866956 1.09 1.09 0.2 0.125 8.87830717 8e+06 5.172878e+02
## 2061 0.14936197 1.09 1.09 0.2 0.125 0.73280415 8e+06 1.620832e+04
## 2062 0.20583741 1.09 1.09 0.2 0.125 10.39555860 8e+06 2.711036e+04
## 2063 0.09426627 1.09 1.09 0.2 0.125 0.65319134 8e+06 1.426823e+04
## 2064 0.64803233 1.09 1.09 0.2 0.125 1.44447222 8e+06 2.592537e+04
## 2065 0.13113213 1.09 1.09 0.2 0.125 0.51427601 8e+06 1.516926e+04
## 2066 0.18326490 1.09 1.09 0.2 0.125 4.94837224 8e+06 2.288742e+04
## 2067 0.37136171 1.09 1.09 0.2 0.125 0.30194279 8e+06 1.050388e+04
## 2068 0.14991090 1.09 1.09 0.2 0.125 11.90186668 8e+06 1.503700e+04
## 2069 0.23005009 1.09 1.09 0.2 0.125 0.73664906 8e+06 2.850160e+03
## 2070 0.12340238 1.09 1.09 0.2 0.125 8.92972541 8e+06 4.427220e+03
## 2071 0.07001871 1.09 1.09 0.2 0.125 0.38421966 8e+06 1.457256e+04
## 2072 0.22875111 1.09 1.09 0.2 0.125 7.21948111 8e+06 1.171803e+04
## 2073 0.38281851 1.09 1.09 0.2 0.125 0.66759163 8e+06 2.047726e+03
## 2074 0.12613974 1.09 1.09 0.2 0.125 3.81204898 8e+06 3.838587e+03
## 2075 0.10339168 1.09 1.09 0.2 0.125 0.62925378 8e+06 1.831864e+04
## 2076 0.08484176 1.09 1.09 0.2 0.125 9.21042458 8e+06 1.639003e+04
## 2077 0.09968559 1.09 1.09 0.2 0.125 0.81983695 8e+06 9.880218e+03
## 2078 0.14048772 1.09 1.09 0.2 0.125 13.44607383 8e+06 1.362729e+04
## 2079 0.08429369 1.09 1.09 0.2 0.125 0.93809336 8e+06 1.550412e+04
## 2080 0.18415035 1.09 1.09 0.2 0.125 7.05843839 8e+06 2.845799e+04
## 2081 0.31714132 1.09 1.09 0.2 0.125 0.69490910 8e+06 5.865569e+03
## 2082 0.13939930 1.09 1.09 0.2 0.125 16.82180123 8e+06 1.050388e+04
## 2083 0.16020486 1.09 1.09 0.2 0.125 0.54548369 8e+06 1.566235e+04
## 2084 0.16090374 1.09 1.09 0.2 0.125 7.30239077 8e+06 2.744942e+04
## 2085 0.35631610 1.09 1.09 0.2 0.125 0.27308989 8e+06 1.839094e+04
## 2086 0.26734221 1.09 1.09 0.2 0.125 19.75078211 8e+06 1.068655e+04
## 2087 0.31050906 1.09 1.09 0.2 0.125 0.49642392 8e+06 2.184245e+03
## 2088 0.11577652 1.09 1.09 0.2 0.125 6.55486339 8e+06 3.230237e+03
## 2089 0.34539276 1.09 1.09 0.2 0.125 0.64868539 8e+06 1.039358e+04
## 2090 0.55596388 1.09 1.09 0.2 0.125 4.78710755 8e+06 1.336150e+04
## 2091 0.38011130 1.09 1.09 0.2 0.125 0.61623899 8e+06 7.206316e+03
## 2092 0.12997572 1.09 1.09 0.2 0.125 3.35919667 8e+06 1.174088e+04
## 2093 0.34598195 1.09 1.09 0.2 0.125 0.86062207 8e+06 5.433785e+03
## 2094 0.59638718 1.09 1.09 0.2 0.125 1.42707865 8e+06 6.255659e+03
## 2095 0.27527637 1.09 1.09 0.2 0.125 0.95320334 8e+06 1.180337e+04
## 2096 0.15667525 1.09 1.09 0.2 0.125 14.20759344 8e+06 1.493101e+04
## 2097 0.33950276 1.09 1.09 0.2 0.125 0.93937397 8e+06 4.359586e+02
## 2098 0.11567804 1.09 1.09 0.2 0.125 6.62738189 8e+06 5.909678e+02
## 2099 0.13990128 1.09 1.09 0.2 0.125 0.93757902 8e+06 2.460013e+03
## 2100 0.20456400 1.09 1.09 0.2 0.125 7.75417136 8e+06 5.787230e+03
## 2101 0.34591597 1.09 1.09 0.2 0.125 0.92432454 8e+06 1.578190e+02
## 2102 0.50541778 1.09 1.09 0.2 0.125 1.43149772 8e+06 1.928132e+02
## 2103 0.11221879 1.09 1.09 0.2 0.125 0.69409825 8e+06 1.041364e+04
## 2104 0.14537193 1.09 1.09 0.2 0.125 5.65873941 8e+06 1.735816e+04
## 2105 0.38425418 1.09 1.09 0.2 0.125 0.99951405 8e+06 6.352339e+03
## 2106 0.13011590 1.09 1.09 0.2 0.125 14.10948739 8e+06 7.415407e+03
## 2107 0.13556806 1.09 1.09 0.2 0.125 0.49191814 8e+06 7.671388e+02
## 2108 0.60150558 1.09 1.09 0.2 0.125 26.16851385 8e+06 6.593408e+02
## 2109 0.33607201 1.09 1.09 0.2 0.125 0.47879647 8e+06 5.818397e+03
## 2110 0.14611789 1.09 1.09 0.2 0.125 6.40410664 8e+06 9.847263e+03
## 2111 0.06610246 1.09 1.09 0.2 0.125 0.60033417 8e+06 1.259332e+04
## 2112 0.22194064 1.09 1.09 0.2 0.125 10.69185692 8e+06 1.376756e+04
## 2113 0.33258940 1.09 1.09 0.2 0.125 0.33972346 8e+06 1.817562e+04
## 2114 0.16391031 1.09 1.09 0.2 0.125 5.83833435 8e+06 2.703754e+04
## 2115 0.17390724 1.09 1.09 0.2 0.125 0.25933991 8e+06 1.290298e+04
## 2116 0.57909915 1.09 1.09 0.2 0.125 8.55757389 8e+06 2.570981e+04
## 2117 0.17757130 1.09 1.09 0.2 0.125 0.53025560 8e+06 1.615131e+04
## 2118 0.22040147 1.09 1.09 0.2 0.125 15.22164794 8e+06 1.484721e+04
## 2119 0.35503374 1.09 1.09 0.2 0.125 0.26928138 8e+06 1.129594e+04
## 2120 0.12481784 1.09 1.09 0.2 0.125 6.70250603 8e+06 1.944241e+04
## 2121 0.30375125 1.09 1.09 0.2 0.125 0.39412221 8e+06 1.250709e+04
## 2122 0.13706122 1.09 1.09 0.2 0.125 6.73361125 8e+06 1.941529e+04
## 2123 0.07073314 1.09 1.09 0.2 0.125 0.77431846 8e+06 1.946527e+04
## 2124 0.21465661 1.09 1.09 0.2 0.125 6.23017777 8e+06 2.430192e+04
## 2125 0.19077334 1.09 1.09 0.2 0.125 0.96425236 8e+06 1.112033e+04
## 2126 0.16562290 1.09 1.09 0.2 0.125 5.82294838 8e+06 1.343642e+04
## 2127 0.20705498 1.09 1.09 0.2 0.125 0.75349531 8e+06 1.253654e+04
## 2128 0.14096491 1.09 1.09 0.2 0.125 11.04743239 8e+06 1.618018e+04
## 2129 0.11272396 1.09 1.09 0.2 0.125 0.84700800 8e+06 1.828092e+04
## 2130 0.20595847 1.09 1.09 0.2 0.125 10.40979257 8e+06 1.763953e+04
## 2131 0.15722570 1.09 1.09 0.2 0.125 0.28855412 8e+06 1.253420e+04
## 2132 0.14814979 1.09 1.09 0.2 0.125 14.98276865 8e+06 2.085079e+04
## 2133 0.39004772 1.09 1.09 0.2 0.125 0.42405099 8e+06 1.059879e+04
## 2134 0.57273137 1.09 1.09 0.2 0.125 1.91133452 8e+06 1.507193e+04
## 2135 0.23477622 1.09 1.09 0.2 0.125 0.33232946 8e+06 9.120283e+03
## 2136 0.13271867 1.09 1.09 0.2 0.125 5.37103463 8e+06 1.326698e+04
## 2137 0.09544319 1.09 1.09 0.2 0.125 0.52581148 8e+06 1.209266e+04
## 2138 0.06799996 1.09 1.09 0.2 0.125 4.38133128 8e+06 1.103050e+04
## 2139 0.25405692 1.09 1.09 0.2 0.125 0.82124107 8e+06 1.491902e+04
## 2140 0.16722164 1.09 1.09 0.2 0.125 10.81573040 8e+06 2.481623e+04
## 2141 0.32464638 1.09 1.09 0.2 0.125 0.51423523 8e+06 1.951904e+04
## 2142 0.59692689 1.09 1.09 0.2 0.125 5.23933763 8e+06 3.165385e+04
## 2143 0.37498212 1.09 1.09 0.2 0.125 0.82791145 8e+06 1.570577e+03
## 2144 0.11660884 1.09 1.09 0.2 0.125 5.34875275 8e+06 2.500322e+03
## 2145 0.34554308 1.09 1.09 0.2 0.125 0.62000215 8e+06 1.174261e+04
## 2146 0.16753766 1.09 1.09 0.2 0.125 6.98472526 8e+06 2.137772e+04
## 2147 0.18184467 1.09 1.09 0.2 0.125 0.83488312 8e+06 1.541087e+04
## 2148 0.16287977 1.09 1.09 0.2 0.125 2.77884293 8e+06 2.781072e+04
## 2149 0.34677128 1.09 1.09 0.2 0.125 0.48472688 8e+06 1.481554e+04
## 2150 0.26889778 1.09 1.09 0.2 0.125 4.37992479 8e+06 1.053703e+04
## 2151 0.15806431 1.09 1.09 0.2 0.125 0.56209602 8e+06 2.502836e+03
## 2152 0.64620565 1.09 1.09 0.2 0.125 2.10328822 8e+06 3.679075e+03
## 2153 0.25327648 1.09 1.09 0.2 0.125 0.37806370 8e+06 1.700340e+03
## 2154 0.27298322 1.09 1.09 0.2 0.125 0.81466342 8e+06 1.931166e+03
## 2155 0.21477568 1.09 1.09 0.2 0.125 0.88499307 8e+06 1.969121e+04
## 2156 0.16847957 1.09 1.09 0.2 0.125 7.04194665 8e+06 3.047875e+04
## 2157 0.19534347 1.09 1.09 0.2 0.125 0.39479351 8e+06 1.544600e+04
## 2158 0.17778689 1.09 1.09 0.2 0.125 16.18324646 8e+06 1.855806e+04
## 2159 0.20416747 1.09 1.09 0.2 0.125 0.55410302 8e+06 1.435681e+04
## 2160 0.16009754 1.09 1.09 0.2 0.125 5.38182395 8e+06 2.162564e+04
## 2161 0.11359962 1.09 1.09 0.2 0.125 0.46931034 8e+06 9.866661e+03
## 2162 0.20164845 1.09 1.09 0.2 0.125 6.26311517 8e+06 1.105172e+04
## 2163 0.09085029 1.09 1.09 0.2 0.125 0.52927663 8e+06 1.187327e+04
## 2164 0.19272730 1.09 1.09 0.2 0.125 4.70743132 8e+06 1.423790e+04
## 2165 0.37606365 1.09 1.09 0.2 0.125 0.56076884 8e+06 1.492422e+04
## 2166 0.15800473 1.09 1.09 0.2 0.125 3.67265287 8e+06 2.720782e+04
## 2167 0.19578954 1.09 1.09 0.2 0.125 0.87060484 8e+06 9.885683e+03
## 2168 0.12536136 1.09 1.09 0.2 0.125 2.27982543 8e+06 1.193857e+04
## 2169 0.13619058 1.09 1.09 0.2 0.125 0.26238653 8e+06 1.923526e+04
## 2170 0.12471990 1.09 1.09 0.2 0.125 5.10631603 8e+06 2.621985e+04
## 2171 0.09647595 1.09 1.09 0.2 0.125 0.20787280 8e+06 6.098500e+03
## 2172 0.16977530 1.09 1.09 0.2 0.125 6.42470999 8e+06 1.067806e+04
## 2173 0.39057611 1.09 1.09 0.2 0.125 0.82948707 8e+06 1.053844e+04
## 2174 0.16168319 1.09 1.09 0.2 0.125 21.20229987 8e+06 1.689867e+04
## 2175 0.39288869 1.09 1.09 0.2 0.125 0.34593669 8e+06 1.273045e+04
## 2176 0.24713207 1.09 1.09 0.2 0.125 6.71444443 8e+06 9.656943e+03
## 2177 0.24943514 1.09 1.09 0.2 0.125 0.28557986 8e+06 1.944281e+04
## 2178 0.42277303 1.09 1.09 0.2 0.125 0.87809839 8e+06 4.429614e+04
## 2179 0.38245935 1.09 1.09 0.2 0.125 0.51221314 8e+06 4.213180e+03
## 2180 0.53516279 1.09 1.09 0.2 0.125 1.50575185 8e+06 4.561006e+03
## 2181 0.12831148 1.09 1.09 0.2 0.125 0.74933991 8e+06 1.151199e+04
## 2182 0.15590291 1.09 1.09 0.2 0.125 2.82115921 8e+06 2.398052e+04
## 2183 0.23699862 1.09 1.09 0.2 0.125 0.69427513 8e+06 1.555856e+04
## 2184 0.16935640 1.09 1.09 0.2 0.125 13.88324054 8e+06 2.230765e+04
## 2185 0.21841632 1.09 1.09 0.2 0.125 0.87577296 8e+06 8.161187e+03
## 2186 0.56257017 1.09 1.09 0.2 0.125 1.59406016 8e+06 1.512795e+04
## 2187 0.32611534 1.09 1.09 0.2 0.125 0.51712472 8e+06 6.474151e+03
## 2188 0.15061691 1.09 1.09 0.2 0.125 5.37143683 8e+06 1.280515e+04
## 2189 0.27449729 1.09 1.09 0.2 0.125 0.95410758 8e+06 1.156802e+04
## 2190 0.25239498 1.09 1.09 0.2 0.125 7.14037269 8e+06 9.684459e+03
## 2191 0.34521484 1.09 1.09 0.2 0.125 0.89843007 8e+06 1.354819e+04
## 2192 0.15597566 1.09 1.09 0.2 0.125 5.19479644 8e+06 2.121307e+04
## 2193 0.22545449 1.09 1.09 0.2 0.125 0.81448430 8e+06 6.952576e+03
## 2194 0.14863817 1.09 1.09 0.2 0.125 5.10938343 8e+06 1.207933e+04
## 2195 0.19863873 1.09 1.09 0.2 0.125 0.80967433 8e+06 6.470693e+03
## 2196 0.13997892 1.09 1.09 0.2 0.125 5.50682948 8e+06 1.019793e+04
## 2197 0.34164386 1.09 1.09 0.2 0.125 0.51467488 8e+06 4.083376e+03
## 2198 0.04166604 1.09 1.09 0.2 0.125 5.44744451 8e+06 4.480547e+03
## 2199 0.27398297 1.09 1.09 0.2 0.125 0.41183299 8e+06 1.530042e+03
## 2200 0.21805192 1.09 1.09 0.2 0.125 1.79262342 8e+06 2.866556e+03
## 2201 0.25278878 1.09 1.09 0.2 0.125 0.85762304 8e+06 1.969067e+04
## 2202 0.14816163 1.09 1.09 0.2 0.125 3.44627513 8e+06 3.817740e+04
## 2203 0.11890544 1.09 1.09 0.2 0.125 0.85086721 8e+06 2.067739e+03
## 2204 0.11491557 1.09 1.09 0.2 0.125 6.35503555 8e+06 3.029829e+03
## 2205 0.08878817 1.09 1.09 0.2 0.125 0.44282749 8e+06 9.835267e+03
## 2206 0.13694547 1.09 1.09 0.2 0.125 34.73367025 8e+06 1.374656e+04
## 2207 0.24381590 1.09 1.09 0.2 0.125 0.70495719 8e+06 1.733365e+04
## 2208 0.58730064 1.09 1.09 0.2 0.125 1.80572599 8e+06 3.335363e+04
## 2209 0.14360029 1.09 1.09 0.2 0.125 0.58161683 8e+06 1.886600e+03
## 2210 0.51531851 1.09 1.09 0.2 0.125 1.58177961 8e+06 2.748369e+03
## 2211 0.27566153 1.09 1.09 0.2 0.125 0.67492442 8e+06 1.492497e+04
## 2212 0.20807126 1.09 1.09 0.2 0.125 6.40876430 8e+06 1.610655e+04
## 2213 0.19004355 1.09 1.09 0.2 0.125 0.99900722 8e+06 5.916942e+03
## 2214 0.20005657 1.09 1.09 0.2 0.125 7.38747960 8e+06 7.566812e+03
## 2215 0.26188844 1.09 1.09 0.2 0.125 0.96342416 8e+06 7.270252e+03
## 2216 0.12459843 1.09 1.09 0.2 0.125 5.42958195 8e+06 1.168140e+04
## 2217 0.07304055 1.09 1.09 0.2 0.125 0.48795544 8e+06 8.072850e+03
## 2218 0.58245449 1.09 1.09 0.2 0.125 2.41694580 8e+06 1.380461e+04
## 2219 0.34393611 1.09 1.09 0.2 0.125 0.90153036 8e+06 9.464846e+03
## 2220 0.14064073 1.09 1.09 0.2 0.125 7.15943511 8e+06 1.451244e+04
## 2221 0.24789732 1.09 1.09 0.2 0.125 0.31450138 8e+06 4.300635e+03
## 2222 0.12580928 1.09 1.09 0.2 0.125 9.27129465 8e+06 7.045097e+03
## 2223 0.33994708 1.09 1.09 0.2 0.125 0.72748650 8e+06 5.301604e+03
## 2224 0.12380454 1.09 1.09 0.2 0.125 7.73741907 8e+06 8.109829e+03
## 2225 0.06171641 1.09 1.09 0.2 0.125 0.38626054 8e+06 1.284807e+04
## 2226 0.19147650 1.09 1.09 0.2 0.125 7.37427678 8e+06 2.227089e+04
## 2227 0.19915407 1.09 1.09 0.2 0.125 0.80684034 8e+06 9.768209e+03
## 2228 0.56626259 1.09 1.09 0.2 0.125 3.15491368 8e+06 1.558526e+04
## 2229 0.13084180 1.09 1.09 0.2 0.125 0.73042945 8e+06 3.854554e+03
## 2230 0.55196108 1.09 1.09 0.2 0.125 8.75666569 8e+06 5.154370e+03
## 2231 0.10492004 1.09 1.09 0.2 0.125 0.90670146 8e+06 1.494745e+04
## 2232 0.72921677 1.09 1.09 0.2 0.125 5.35020252 8e+06 2.452851e+04
## 2233 0.07089073 1.09 1.09 0.2 0.125 0.28306664 8e+06 1.833690e+04
## 2234 0.14336169 1.09 1.09 0.2 0.125 16.62169590 8e+06 2.814427e+04
## 2235 0.36735247 1.09 1.09 0.2 0.125 0.50326620 8e+06 6.926385e+03
## 2236 0.20535156 1.09 1.09 0.2 0.125 9.09977323 8e+06 9.241815e+03
## 2237 0.37107556 1.09 1.09 0.2 0.125 0.35780937 8e+06 9.878561e+03
## 2238 0.12602820 1.09 1.09 0.2 0.125 7.01347378 8e+06 1.630199e+04
## 2239 0.17372086 1.09 1.09 0.2 0.125 0.36186557 8e+06 8.557504e+03
## 2240 0.16938948 1.09 1.09 0.2 0.125 5.00867905 8e+06 1.269730e+04
## 2241 0.11435201 1.09 1.09 0.2 0.125 0.79775604 8e+06 8.916030e+03
## 2242 0.12811955 1.09 1.09 0.2 0.125 3.67804155 8e+06 1.542548e+04
## 2243 0.25187911 1.09 1.09 0.2 0.125 0.46049390 8e+06 6.710962e+03
## 2244 0.15382580 1.09 1.09 0.2 0.125 3.67532378 8e+06 9.855608e+03
## 2245 0.22740711 1.09 1.09 0.2 0.125 0.85974132 8e+06 1.105508e+04
## 2246 0.14088806 1.09 1.09 0.2 0.125 8.70189170 8e+06 1.942329e+04
## 2247 0.27558502 1.09 1.09 0.2 0.125 0.54387863 8e+06 1.231868e+04
## 2248 0.17302152 1.09 1.09 0.2 0.125 12.46328495 8e+06 1.466286e+04
## 2249 0.25506220 1.09 1.09 0.2 0.125 0.77340950 8e+06 8.265615e+03
## 2250 0.16139757 1.09 1.09 0.2 0.125 3.79900953 8e+06 1.152715e+04
## 2251 0.12945034 1.09 1.09 0.2 0.125 0.80846948 8e+06 1.479204e+04
## 2252 0.56051546 1.09 1.09 0.2 0.125 6.31667145 8e+06 2.320087e+04
## 2253 0.29060951 1.09 1.09 0.2 0.125 0.20223121 8e+06 1.693325e+04
## 2254 0.16674529 1.09 1.09 0.2 0.125 8.12712580 8e+06 3.154209e+04
## 2255 0.06972553 1.09 1.09 0.2 0.125 0.81898563 8e+06 2.105376e+03
## 2256 0.11626603 1.09 1.09 0.2 0.125 2.58967551 8e+06 2.284458e+03
## 2257 0.29027465 1.09 1.09 0.2 0.125 0.81524419 8e+06 5.264551e+03
## 2258 0.13244236 1.09 1.09 0.2 0.125 4.99446781 8e+06 9.561233e+03
## 2259 0.33312422 1.09 1.09 0.2 0.125 0.73946857 8e+06 3.167183e+02
## 2260 0.11269095 1.09 1.09 0.2 0.125 7.03435241 8e+06 3.341413e+02
## 2261 0.30899801 1.09 1.09 0.2 0.125 0.78323435 8e+06 1.181473e+03
## 2262 0.01685223 1.09 1.09 0.2 0.125 1.26297038 8e+06 1.107923e+03
## 2263 0.29345989 1.09 1.09 0.2 0.125 0.81156671 8e+06 1.873001e+04
## 2264 0.20038095 1.09 1.09 0.2 0.125 4.89760588 8e+06 2.663761e+04
## 2265 0.05096142 1.09 1.09 0.2 0.125 0.48965818 8e+06 7.500274e+03
## 2266 0.11683215 1.09 1.09 0.2 0.125 1.59597824 8e+06 5.888913e+03
## 2267 0.16799596 1.09 1.09 0.2 0.125 0.70369381 8e+06 2.826718e+03
## 2268 0.11891986 1.09 1.09 0.2 0.125 2.86055130 8e+06 3.661888e+03
## 2269 0.12553621 1.09 1.09 0.2 0.125 0.85629487 8e+06 1.925710e+04
## 2270 0.16106389 1.09 1.09 0.2 0.125 8.04326810 8e+06 2.885195e+04
## 2271 0.27713172 1.09 1.09 0.2 0.125 0.57065084 8e+06 1.358340e+04
## 2272 0.58889503 1.09 1.09 0.2 0.125 4.52060962 8e+06 2.598860e+04
## 2273 0.24464331 1.09 1.09 0.2 0.125 0.81858825 8e+06 1.098110e+04
## 2274 0.13124631 1.09 1.09 0.2 0.125 4.71655113 8e+06 1.759375e+04
## 2275 0.15639025 1.09 1.09 0.2 0.125 0.81821592 8e+06 1.822664e+04
## 2276 0.15235273 1.09 1.09 0.2 0.125 4.82353122 8e+06 2.713281e+04
## 2277 0.31265325 1.09 1.09 0.2 0.125 0.97511117 8e+06 1.676659e+04
## 2278 0.13386465 1.09 1.09 0.2 0.125 12.52234459 8e+06 1.270013e+04
## 2279 0.38186931 1.09 1.09 0.2 0.125 0.70683114 8e+06 8.101558e+03
## 2280 0.12394936 1.09 1.09 0.2 0.125 7.17608922 8e+06 1.083786e+04
## 2281 0.32832156 1.09 1.09 0.2 0.125 0.98295955 8e+06 9.026513e+03
## 2282 0.13265070 1.09 1.09 0.2 0.125 7.67237418 8e+06 1.516443e+04
## 2283 0.08511876 1.09 1.09 0.2 0.125 0.55679504 8e+06 5.321777e+03
## 2284 0.11983578 1.09 1.09 0.2 0.125 17.60436539 8e+06 9.276497e+03
## 2285 0.20014878 1.09 1.09 0.2 0.125 0.35179030 8e+06 1.987817e+04
## 2286 0.18565977 1.09 1.09 0.2 0.125 2.99260927 8e+06 3.607419e+04
## 2287 0.09597671 1.09 1.09 0.2 0.125 0.60257887 8e+06 6.425522e+03
## 2288 0.55100811 1.09 1.09 0.2 0.125 1.98312493 8e+06 8.356888e+03
## 2289 0.06080681 1.09 1.09 0.2 0.125 0.42476082 8e+06 3.368898e+03
## 2290 0.53535544 1.09 1.09 0.2 0.125 4.18273397 8e+06 3.056396e+03
## 2291 0.35626130 1.09 1.09 0.2 0.125 0.57883303 8e+06 9.901797e+03
## 2292 0.16916964 1.09 1.09 0.2 0.125 5.20159107 8e+06 1.166887e+04
## 2293 0.32668073 1.09 1.09 0.2 0.125 0.24630765 8e+06 2.318703e+03
## 2294 0.10795539 1.09 1.09 0.2 0.125 3.07948534 8e+06 2.909350e+03
## 2295 0.37452568 1.09 1.09 0.2 0.125 0.89344858 8e+06 1.713607e+04
## 2296 0.13832609 1.09 1.09 0.2 0.125 2.76581331 8e+06 1.903881e+04
## 2297 0.17226355 1.09 1.09 0.2 0.125 0.24850431 8e+06 1.062488e+04
## 2298 0.15373131 1.09 1.09 0.2 0.125 20.54891895 8e+06 1.431153e+04
## 2299 0.09582636 1.09 1.09 0.2 0.125 0.57767638 8e+06 9.672185e+03
## 2300 0.14217523 1.09 1.09 0.2 0.125 9.33673047 8e+06 1.661952e+04
## 2301 0.16737122 1.09 1.09 0.2 0.125 0.31740821 8e+06 9.665202e+03
## 2302 0.13860056 1.09 1.09 0.2 0.125 4.94947786 8e+06 1.868794e+04
## 2303 0.26998773 1.09 1.09 0.2 0.125 0.71228255 8e+06 1.425984e+03
## 2304 0.53296434 1.09 1.09 0.2 0.125 3.32959118 8e+06 1.578207e+03
## 2305 0.10579204 1.09 1.09 0.2 0.125 0.78582573 8e+06 1.185989e+04
## 2306 0.55549256 1.09 1.09 0.2 0.125 3.02198718 8e+06 1.541516e+04
## 2307 0.37249820 1.09 1.09 0.2 0.125 0.99402725 8e+06 1.376893e+04
## 2308 0.26173661 1.09 1.09 0.2 0.125 9.79203196 8e+06 1.260436e+04
## 2309 0.30736112 1.09 1.09 0.2 0.125 0.64444656 8e+06 1.541697e+04
## 2310 0.18056762 1.09 1.09 0.2 0.125 4.47353366 8e+06 2.259217e+04
## 2311 0.26210357 1.09 1.09 0.2 0.125 0.30891841 8e+06 1.816817e+04
## 2312 0.18046029 1.09 1.09 0.2 0.125 4.57230518 8e+06 2.795895e+04
## 2313 0.30304029 1.09 1.09 0.2 0.125 0.25622242 8e+06 1.727933e+04
## 2314 0.17887545 1.09 1.09 0.2 0.125 5.23474773 8e+06 3.006774e+04
## 2315 0.16623635 1.09 1.09 0.2 0.125 0.43895343 8e+06 4.536245e+03
## 2316 0.10989890 1.09 1.09 0.2 0.125 13.32339516 8e+06 6.191901e+03
## 2317 0.06001769 1.09 1.09 0.2 0.125 0.73232301 8e+06 5.289085e+03
## 2318 0.13540153 1.09 1.09 0.2 0.125 7.30100030 8e+06 9.402772e+03
## 2319 0.13595160 1.09 1.09 0.2 0.125 0.28210131 8e+06 1.297608e+04
## 2320 0.58945197 1.09 1.09 0.2 0.125 1.93323780 8e+06 2.685763e+04
## 2321 0.20172446 1.09 1.09 0.2 0.125 0.37637690 8e+06 6.018468e+03
## 2322 0.12668593 1.09 1.09 0.2 0.125 8.05150684 8e+06 9.550732e+03
## 2323 0.32525217 1.09 1.09 0.2 0.125 0.22417156 8e+06 1.570082e+04
## 2324 0.16714576 1.09 1.09 0.2 0.125 9.22682954 8e+06 2.231019e+04
## 2325 0.39075691 1.09 1.09 0.2 0.125 0.72135209 8e+06 1.700725e+02
## 2326 0.49727826 1.09 1.09 0.2 0.125 1.75027955 8e+06 1.747700e+02
## 2327 0.37277954 1.09 1.09 0.2 0.125 0.34934921 8e+06 1.376206e+04
## 2328 0.22170543 1.09 1.09 0.2 0.125 5.54855800 8e+06 1.518397e+04
## 2329 0.06153334 1.09 1.09 0.2 0.125 0.43156589 8e+06 9.224897e+02
## 2330 0.07942459 1.09 1.09 0.2 0.125 6.90103977 8e+06 1.089645e+03
## 2331 0.37671258 1.09 1.09 0.2 0.125 0.87546898 8e+06 1.442098e+04
## 2332 0.14450523 1.09 1.09 0.2 0.125 8.05025228 8e+06 2.282568e+04
## 2333 0.31486231 1.09 1.09 0.2 0.125 0.39523026 8e+06 9.195617e+03
## 2334 0.13691608 1.09 1.09 0.2 0.125 5.88510885 8e+06 1.688552e+04
## 2335 0.38018782 1.09 1.09 0.2 0.125 0.40784886 8e+06 8.800898e+03
## 2336 0.77501110 1.09 1.09 0.2 0.125 2.14674230 8e+06 1.289462e+04
## 2337 0.16383250 1.09 1.09 0.2 0.125 0.34526763 8e+06 2.851806e+03
## 2338 0.15844534 1.09 1.09 0.2 0.125 8.01580124 8e+06 5.974105e+03
## 2339 0.14611898 1.09 1.09 0.2 0.125 0.83793792 8e+06 9.931662e+03
## 2340 0.52802945 1.09 1.09 0.2 0.125 26.28157354 8e+06 1.400476e+04
## 2341 0.22008397 1.09 1.09 0.2 0.125 0.83111283 8e+06 1.328645e+03
## 2342 0.10525347 1.09 1.09 0.2 0.125 5.13370521 8e+06 1.408084e+03
## 2343 0.27439102 1.09 1.09 0.2 0.125 0.69057559 8e+06 4.866678e+03
## 2344 0.68168342 1.09 1.09 0.2 0.125 2.71912583 8e+06 7.313836e+03
## 2345 0.27660692 1.09 1.09 0.2 0.125 0.70796392 8e+06 1.387394e+04
## 2346 0.17757760 1.09 1.09 0.2 0.125 5.64726057 8e+06 2.004930e+04
## 2347 0.07104483 1.09 1.09 0.2 0.125 0.26372928 8e+06 8.824246e+02
## 2348 0.10187544 1.09 1.09 0.2 0.125 3.74802343 8e+06 1.046857e+03
## 2349 0.10300990 1.09 1.09 0.2 0.125 0.89465004 8e+06 6.559931e+03
## 2350 0.12760183 1.09 1.09 0.2 0.125 4.92813247 8e+06 8.115332e+03
## 2351 0.30613047 1.09 1.09 0.2 0.125 0.23998744 8e+06 6.006824e+03
## 2352 0.20023930 1.09 1.09 0.2 0.125 7.51476871 8e+06 9.647933e+03
## 2353 0.26123871 1.09 1.09 0.2 0.125 0.43999163 8e+06 5.224879e+02
## 2354 0.17394609 1.09 1.09 0.2 0.125 3.67593519 8e+06 1.059012e+03
## 2355 0.15187324 1.09 1.09 0.2 0.125 0.90448515 8e+06 2.053512e+03
## 2356 0.65753548 1.09 1.09 0.2 0.125 7.50851890 8e+06 2.373046e+03
## 2357 0.17958173 1.09 1.09 0.2 0.125 0.94308101 8e+06 1.100110e+03
## 2358 0.09217056 1.09 1.09 0.2 0.125 9.56062395 8e+06 1.214948e+03
## 2359 0.32340898 1.09 1.09 0.2 0.125 0.66644818 8e+06 1.424692e+03
## 2360 0.12188139 1.09 1.09 0.2 0.125 5.56333826 8e+06 1.826519e+03
## 2361 0.07315995 1.09 1.09 0.2 0.125 0.68344889 8e+06 1.771993e+04
## 2362 0.13843780 1.09 1.09 0.2 0.125 6.56710537 8e+06 2.568121e+04
## 2363 0.05540632 1.09 1.09 0.2 0.125 0.34204407 8e+06 1.062396e+04
## 2364 0.56093776 1.09 1.09 0.2 0.125 2.41868987 8e+06 1.344336e+04
## 2365 0.06583372 1.09 1.09 0.2 0.125 0.35219202 8e+06 1.840812e+04
## 2366 0.45291569 1.09 1.09 0.2 0.125 4.29573188 8e+06 2.408078e+04
## 2367 0.32763633 1.09 1.09 0.2 0.125 0.62636734 8e+06 1.302288e+04
## 2368 0.14588767 1.09 1.09 0.2 0.125 3.08985142 8e+06 2.553961e+04
## 2369 0.32593597 1.09 1.09 0.2 0.125 0.94707479 8e+06 1.607304e+04
## 2370 0.20070293 1.09 1.09 0.2 0.125 7.94617754 8e+06 1.266653e+04
## 2371 0.05914470 1.09 1.09 0.2 0.125 0.61771500 8e+06 1.769810e+04
## 2372 0.16834600 1.09 1.09 0.2 0.125 2.68237616 8e+06 3.181513e+04
## 2373 0.33339700 1.09 1.09 0.2 0.125 0.84309285 8e+06 8.311024e+03
## 2374 0.12974657 1.09 1.09 0.2 0.125 15.61578904 8e+06 1.497275e+04
## 2375 0.06865215 1.09 1.09 0.2 0.125 0.72522867 8e+06 2.582203e+03
## 2376 0.11516542 1.09 1.09 0.2 0.125 4.28763354 8e+06 3.914383e+03
## 2377 0.28482020 1.09 1.09 0.2 0.125 0.66716662 8e+06 1.026392e+04
## 2378 0.11859887 1.09 1.09 0.2 0.125 4.05366399 8e+06 1.340302e+04
## 2379 0.21590035 1.09 1.09 0.2 0.125 0.40425421 8e+06 2.268211e+03
## 2380 0.56751039 1.09 1.09 0.2 0.125 15.55044181 8e+06 3.726814e+03
## 2381 0.08470714 1.09 1.09 0.2 0.125 0.73974965 8e+06 1.661190e+04
## 2382 0.15435723 1.09 1.09 0.2 0.125 2.60926434 8e+06 2.115323e+04
## 2383 0.17895601 1.09 1.09 0.2 0.125 0.73775042 8e+06 9.583433e+03
## 2384 0.15630589 1.09 1.09 0.2 0.125 9.58881028 8e+06 1.313231e+04
## 2385 0.17197945 1.09 1.09 0.2 0.125 0.78199503 8e+06 9.588560e+02
## 2386 0.50662445 1.09 1.09 0.2 0.125 10.94839773 8e+06 9.239986e+02
## 2387 0.13305595 1.09 1.09 0.2 0.125 0.68129638 8e+06 8.506649e+02
## 2388 0.12555838 1.09 1.09 0.2 0.125 5.39381988 8e+06 1.199130e+03
## 2389 0.16783409 1.09 1.09 0.2 0.125 0.53206003 8e+06 1.429322e+04
## 2390 0.14683362 1.09 1.09 0.2 0.125 8.59796364 8e+06 2.524016e+04
## 2391 0.35382104 1.09 1.09 0.2 0.125 0.30836087 8e+06 1.880862e+04
## 2392 0.56484269 1.09 1.09 0.2 0.125 4.45146226 8e+06 2.776668e+04
## 2393 0.27434933 1.09 1.09 0.2 0.125 0.63175474 8e+06 6.417854e+03
## 2394 0.54233936 1.09 1.09 0.2 0.125 1.89491974 8e+06 9.412603e+03
## 2395 0.32558807 1.09 1.09 0.2 0.125 0.94929978 8e+06 1.108075e+04
## 2396 0.13542186 1.09 1.09 0.2 0.125 7.33008869 8e+06 1.567793e+04
## 2397 0.21883761 1.09 1.09 0.2 0.125 0.24975810 8e+06 1.083155e+04
## 2398 0.56484241 1.09 1.09 0.2 0.125 2.92810092 8e+06 1.437320e+04
## 2399 0.24190449 1.09 1.09 0.2 0.125 0.56916642 8e+06 4.510047e+03
## 2400 0.11289954 1.09 1.09 0.2 0.125 5.27451842 8e+06 6.575558e+03
## 2401 0.39132011 1.09 1.09 0.2 0.125 0.34432495 8e+06 6.745142e+03
## 2402 0.13669696 1.09 1.09 0.2 0.125 6.95788227 8e+06 9.281746e+03
## 2403 0.08623577 1.09 1.09 0.2 0.125 0.81555111 8e+06 1.350630e+04
## 2404 0.21012881 1.09 1.09 0.2 0.125 5.73214155 8e+06 1.308217e+04
## 2405 0.34212082 1.09 1.09 0.2 0.125 0.75637452 8e+06 6.562273e+03
## 2406 0.11634164 1.09 1.09 0.2 0.125 8.43852088 8e+06 8.993398e+03
## 2407 0.24451628 1.09 1.09 0.2 0.125 0.27624039 8e+06 1.294837e+04
## 2408 0.14974206 1.09 1.09 0.2 0.125 5.68892628 8e+06 2.015497e+04
## 2409 0.25176083 1.09 1.09 0.2 0.125 0.82532710 8e+06 8.751661e+03
## 2410 0.17059800 1.09 1.09 0.2 0.125 8.27088549 8e+06 1.438104e+04
## 2411 0.30527122 1.09 1.09 0.2 0.125 0.98341769 8e+06 1.346108e+04
## 2412 0.16704987 1.09 1.09 0.2 0.125 4.17266168 8e+06 2.575950e+04
## 2413 0.11392537 1.09 1.09 0.2 0.125 0.81886043 8e+06 5.281749e+03
## 2414 0.63452514 1.09 1.09 0.2 0.125 1.85708531 8e+06 7.432650e+03
## 2415 0.35562419 1.09 1.09 0.2 0.125 0.28069614 8e+06 5.192727e+03
## 2416 0.11866716 1.09 1.09 0.2 0.125 14.98489965 8e+06 1.089827e+04
## 2417 0.14958315 1.09 1.09 0.2 0.125 0.40970533 8e+06 9.574582e+02
## 2418 0.13839511 1.09 1.09 0.2 0.125 17.00260051 8e+06 1.447409e+03
## 2419 0.14488327 1.09 1.09 0.2 0.125 0.82659546 8e+06 1.601635e+04
## 2420 0.16154441 1.09 1.09 0.2 0.125 9.75228300 8e+06 2.614169e+04
## 2421 0.28478251 1.09 1.09 0.2 0.125 0.88531318 8e+06 1.344103e+04
## 2422 0.14529835 1.09 1.09 0.2 0.125 25.71080580 8e+06 2.237870e+04
## 2423 0.18019889 1.09 1.09 0.2 0.125 0.56797081 8e+06 1.165516e+04
## 2424 0.13137274 1.09 1.09 0.2 0.125 3.86928596 8e+06 1.770481e+04
## 2425 0.34303684 1.09 1.09 0.2 0.125 0.89165838 8e+06 3.334625e+03
## 2426 0.11989393 1.09 1.09 0.2 0.125 3.10366249 8e+06 2.963032e+03
## 2427 0.11902229 1.09 1.09 0.2 0.125 0.69916311 8e+06 1.687940e+04
## 2428 0.14150210 1.09 1.09 0.2 0.125 8.52475834 8e+06 2.895984e+04
## 2429 0.18498762 1.09 1.09 0.2 0.125 0.62107859 8e+06 1.999738e+04
## 2430 0.17436436 1.09 1.09 0.2 0.125 21.17520646 8e+06 3.765906e+04
## 2431 0.28924663 1.09 1.09 0.2 0.125 0.68251705 8e+06 4.259094e+02
## 2432 0.07795706 1.09 1.09 0.2 0.125 9.66770268 8e+06 4.482643e+02
## 2433 0.38704413 1.09 1.09 0.2 0.125 0.45453542 8e+06 8.976269e+03
## 2434 0.16658532 1.09 1.09 0.2 0.125 5.42343558 8e+06 1.005513e+04
## 2435 0.09451104 1.09 1.09 0.2 0.125 0.79509725 8e+06 1.097382e+04
## 2436 0.14602861 1.09 1.09 0.2 0.125 19.13789235 8e+06 1.678466e+04
## 2437 0.31815083 1.09 1.09 0.2 0.125 0.89065904 8e+06 1.058076e+04
## 2438 0.14422560 1.09 1.09 0.2 0.125 3.86148017 8e+06 1.806727e+04
## 2439 0.32909506 1.09 1.09 0.2 0.125 0.73903579 8e+06 1.157101e+04
## 2440 0.16552625 1.09 1.09 0.2 0.125 7.81441566 8e+06 1.717747e+04
## 2441 0.38393099 1.09 1.09 0.2 0.125 0.95314912 8e+06 1.046132e+04
## 2442 0.14847338 1.09 1.09 0.2 0.125 6.37814440 8e+06 1.539233e+04
## 2443 0.37805910 1.09 1.09 0.2 0.125 0.58553001 8e+06 1.363749e+04
## 2444 0.14140843 1.09 1.09 0.2 0.125 11.31430544 8e+06 2.448374e+04
## 2445 0.23218799 1.09 1.09 0.2 0.125 0.39151317 8e+06 1.775834e+04
## 2446 0.21505607 1.09 1.09 0.2 0.125 4.74593399 8e+06 1.859424e+04
## 2447 0.22928066 1.09 1.09 0.2 0.125 0.97693611 8e+06 9.450877e+03
## 2448 0.13705628 1.09 1.09 0.2 0.125 4.72086040 8e+06 1.756821e+04
## 2449 0.32945201 1.09 1.09 0.2 0.125 0.69178831 8e+06 1.657423e+04
## 2450 0.07501846 1.09 1.09 0.2 0.125 6.80085195 8e+06 1.376749e+04
## 2451 0.36278641 1.09 1.09 0.2 0.125 0.37778415 8e+06 6.929251e+03
## 2452 0.14621616 1.09 1.09 0.2 0.125 4.12871427 8e+06 1.182027e+04
## 2453 0.24490450 1.09 1.09 0.2 0.125 0.66762824 8e+06 2.223242e+03
## 2454 0.10338084 1.09 1.09 0.2 0.125 10.03677143 8e+06 3.021203e+03
## 2455 0.16793565 1.09 1.09 0.2 0.125 0.47966018 8e+06 1.938099e+04
## 2456 0.17357313 1.09 1.09 0.2 0.125 2.58007921 8e+06 3.288712e+04
## 2457 0.32237332 1.09 1.09 0.2 0.125 0.82802980 8e+06 1.737054e+04
## 2458 0.18430545 1.09 1.09 0.2 0.125 6.43099623 8e+06 2.349831e+04
## 2459 0.17774028 1.09 1.09 0.2 0.125 0.93908693 8e+06 1.111700e+04
## 2460 0.70820307 1.09 1.09 0.2 0.125 2.92177975 8e+06 1.499815e+04
## 2461 0.28708579 1.09 1.09 0.2 0.125 0.25488405 8e+06 1.735690e+03
## 2462 0.58682907 1.09 1.09 0.2 0.125 2.28307914 8e+06 1.839083e+03
## 2463 0.11360486 1.09 1.09 0.2 0.125 0.26947012 8e+06 9.977410e+03
## 2464 0.54941165 1.09 1.09 0.2 0.125 3.23925930 8e+06 1.417387e+04
## 2465 0.33890748 1.09 1.09 0.2 0.125 0.75834395 8e+06 1.094727e+04
## 2466 0.16003361 1.09 1.09 0.2 0.125 14.99626143 8e+06 1.480331e+04
## 2467 0.24852335 1.09 1.09 0.2 0.125 0.27815974 8e+06 1.803204e+04
## 2468 0.27390080 1.09 1.09 0.2 0.125 10.26069307 8e+06 1.104621e+04
## 2469 0.27076143 1.09 1.09 0.2 0.125 0.93460373 8e+06 7.597079e+03
## 2470 0.64705234 1.09 1.09 0.2 0.125 1.52231313 8e+06 1.096578e+04
## 2471 0.11462393 1.09 1.09 0.2 0.125 0.24799378 8e+06 1.477897e+04
## 2472 0.15607746 1.09 1.09 0.2 0.125 5.03231093 8e+06 2.077030e+04
## 2473 0.26901268 1.09 1.09 0.2 0.125 0.33977687 8e+06 9.294984e+03
## 2474 0.12946238 1.09 1.09 0.2 0.125 4.47667648 8e+06 1.272180e+04
## 2475 0.31604404 1.09 1.09 0.2 0.125 0.50747827 8e+06 1.763939e+04
## 2476 0.15783914 1.09 1.09 0.2 0.125 8.38135208 8e+06 2.340781e+04
## 2477 0.15720740 1.09 1.09 0.2 0.125 0.70078489 8e+06 1.427107e+04
## 2478 0.15684481 1.09 1.09 0.2 0.125 2.56906358 8e+06 2.473362e+04
## 2479 0.23730364 1.09 1.09 0.2 0.125 0.78588560 8e+06 1.699525e+04
## 2480 0.14472808 1.09 1.09 0.2 0.125 4.62110162 8e+06 2.578996e+04
## 2481 0.07702306 1.09 1.09 0.2 0.125 0.91120794 8e+06 4.698265e+03
## 2482 0.53822345 1.09 1.09 0.2 0.125 2.04645454 8e+06 5.917665e+03
## 2483 0.09186818 1.09 1.09 0.2 0.125 0.99053580 8e+06 1.483717e+04
## 2484 0.59929264 1.09 1.09 0.2 0.125 2.56183806 8e+06 2.942488e+04
## 2485 0.30557914 1.09 1.09 0.2 0.125 0.96334766 8e+06 1.366085e+04
## 2486 0.16420939 1.09 1.09 0.2 0.125 4.31704252 8e+06 2.189246e+04
## 2487 0.31380989 1.09 1.09 0.2 0.125 0.51524902 8e+06 1.356143e+04
## 2488 0.58237163 1.09 1.09 0.2 0.125 1.71988199 8e+06 2.479065e+04
## 2489 0.14722218 1.09 1.09 0.2 0.125 0.70280893 8e+06 1.248846e+04
## 2490 0.14472859 1.09 1.09 0.2 0.125 3.26698664 8e+06 2.096820e+04
## 2491 0.12667902 1.09 1.09 0.2 0.125 0.30916315 8e+06 5.849360e+02
## 2492 0.72765805 1.09 1.09 0.2 0.125 0.68866032 8e+06 5.870591e+02
## 2493 0.26710258 1.09 1.09 0.2 0.125 0.99073184 8e+06 1.654208e+04
## 2494 0.16466520 1.09 1.09 0.2 0.125 4.34218001 8e+06 2.593244e+04
## 2495 0.35342066 1.09 1.09 0.2 0.125 0.41910654 8e+06 1.265649e+04
## 2496 0.16326475 1.09 1.09 0.2 0.125 5.30811705 8e+06 2.221332e+04
## 2497 0.21107165 1.09 1.09 0.2 0.125 0.62494347 8e+06 1.901869e+04
## 2498 0.15859738 1.09 1.09 0.2 0.125 5.07707728 8e+06 3.497678e+04
## 2499 0.10406756 1.09 1.09 0.2 0.125 0.43110647 8e+06 7.718411e+03
## 2500 0.13312297 1.09 1.09 0.2 0.125 9.93349551 8e+06 1.175048e+04
## 2501 0.19975222 1.09 1.09 0.2 0.125 0.62103271 8e+06 1.035789e+04
## 2502 0.13322732 1.09 1.09 0.2 0.125 4.95309751 8e+06 1.410954e+04
## 2503 0.36468055 1.09 1.09 0.2 0.125 0.21957687 8e+06 1.064166e+04
## 2504 0.05370072 1.09 1.09 0.2 0.125 6.95538293 8e+06 1.956653e+04
## 2505 0.12832135 1.09 1.09 0.2 0.125 0.96314741 8e+06 4.209565e+03
## 2506 0.13005863 1.09 1.09 0.2 0.125 5.74532745 8e+06 8.088826e+03
## 2507 0.11189889 1.09 1.09 0.2 0.125 0.41008802 8e+06 1.616155e+04
## 2508 0.15449500 1.09 1.09 0.2 0.125 4.90184827 8e+06 2.710547e+04
## 2509 0.36666426 1.09 1.09 0.2 0.125 0.67354848 8e+06 9.023266e+03
## 2510 0.14540563 1.09 1.09 0.2 0.125 5.23498329 8e+06 1.671101e+04
## 2511 0.11952955 1.09 1.09 0.2 0.125 0.23233058 8e+06 1.616603e+04
## 2512 0.19264937 1.09 1.09 0.2 0.125 3.94723107 8e+06 1.700778e+04
## 2513 0.17544448 1.09 1.09 0.2 0.125 0.98697506 8e+06 2.415027e+03
## 2514 0.11702810 1.09 1.09 0.2 0.125 5.75966354 8e+06 3.089125e+03
## 2515 0.24990897 1.09 1.09 0.2 0.125 0.75734392 8e+06 1.528946e+04
## 2516 0.71549282 1.09 1.09 0.2 0.125 6.27927136 8e+06 2.738525e+04
## 2517 0.05158961 1.09 1.09 0.2 0.125 0.31854199 8e+06 1.014737e+04
## 2518 0.15543562 1.09 1.09 0.2 0.125 5.16939638 8e+06 1.645570e+04
## 2519 0.37210144 1.09 1.09 0.2 0.125 0.53333467 8e+06 4.390796e+03
## 2520 0.12290060 1.09 1.09 0.2 0.125 4.54473373 8e+06 7.042362e+03
## 2521 0.19299334 1.09 1.09 0.2 0.125 0.66083983 8e+06 1.125228e+04
## 2522 0.57234651 1.09 1.09 0.2 0.125 1.76808103 8e+06 2.020179e+04
## 2523 0.14450764 1.09 1.09 0.2 0.125 0.54904444 8e+06 1.073448e+04
## 2524 0.17997524 1.09 1.09 0.2 0.125 8.90557924 8e+06 1.546294e+04
## 2525 0.07157560 1.09 1.09 0.2 0.125 0.86841855 8e+06 1.161148e+04
## 2526 0.15104012 1.09 1.09 0.2 0.125 3.71096964 8e+06 2.253058e+04
## 2527 0.27885842 1.09 1.09 0.2 0.125 0.31556917 8e+06 1.828736e+04
## 2528 0.60995642 1.09 1.09 0.2 0.125 2.52561420 8e+06 3.062359e+04
## 2529 0.29025045 1.09 1.09 0.2 0.125 0.22886267 8e+06 6.434337e+03
## 2530 0.15237956 1.09 1.09 0.2 0.125 11.11380927 8e+06 9.195883e+03
## 2531 0.30508706 1.09 1.09 0.2 0.125 0.73015064 8e+06 3.894173e+03
## 2532 0.12296049 1.09 1.09 0.2 0.125 9.06643043 8e+06 6.942917e+03
## 2533 0.14331707 1.09 1.09 0.2 0.125 0.86156562 8e+06 1.008923e+04
## 2534 0.14361791 1.09 1.09 0.2 0.125 9.47387446 8e+06 1.777847e+04
## 2535 0.10264869 1.09 1.09 0.2 0.125 0.58088500 8e+06 1.984621e+04
## 2536 0.18181791 1.09 1.09 0.2 0.125 3.47197669 8e+06 3.710513e+04
## 2537 0.25616125 1.09 1.09 0.2 0.125 0.25303555 8e+06 7.792590e+03
## 2538 0.14444018 1.09 1.09 0.2 0.125 13.81021871 8e+06 1.253323e+04
## 2539 0.21606901 1.09 1.09 0.2 0.125 0.26491377 8e+06 1.200237e+04
## 2540 0.15116055 1.09 1.09 0.2 0.125 4.65456989 8e+06 2.116020e+04
## 2541 0.17378520 1.09 1.09 0.2 0.125 0.34460942 8e+06 3.892917e+03
## 2542 0.11498576 1.09 1.09 0.2 0.125 6.52102196 8e+06 7.862418e+03
## 2543 0.32698605 1.09 1.09 0.2 0.125 0.91617035 8e+06 8.265035e+03
## 2544 0.12024621 1.09 1.09 0.2 0.125 2.48602078 8e+06 8.124398e+03
## 2545 0.10363066 1.09 1.09 0.2 0.125 0.27717041 8e+06 1.149792e+04
## 2546 0.58099174 1.09 1.09 0.2 0.125 2.55474846 8e+06 2.024024e+04
## 2547 0.11017399 1.09 1.09 0.2 0.125 0.79602849 8e+06 4.966709e+03
## 2548 0.12937571 1.09 1.09 0.2 0.125 14.21147791 8e+06 8.576863e+03
## 2549 0.38210314 1.09 1.09 0.2 0.125 0.87282230 8e+06 4.013616e+02
## 2550 0.09733536 1.09 1.09 0.2 0.125 14.17441517 8e+06 4.126018e+02
## 2551 0.10591190 1.09 1.09 0.2 0.125 0.38955861 8e+06 9.888540e+03
## 2552 0.16215225 1.09 1.09 0.2 0.125 16.37951270 8e+06 1.752919e+04
## 2553 0.38024417 1.09 1.09 0.2 0.125 0.53571935 8e+06 2.305061e+03
## 2554 0.12776970 1.09 1.09 0.2 0.125 21.09330150 8e+06 3.849082e+03
## 2555 0.09992966 1.09 1.09 0.2 0.125 0.21775039 8e+06 3.650301e+03
## 2556 0.11232461 1.09 1.09 0.2 0.125 10.27341503 8e+06 5.109532e+03
## 2557 0.37641357 1.09 1.09 0.2 0.125 0.41813848 8e+06 4.235385e+03
## 2558 0.12322538 1.09 1.09 0.2 0.125 4.05862816 8e+06 7.762784e+03
## 2559 0.10609214 1.09 1.09 0.2 0.125 0.99766633 8e+06 1.308419e+04
## 2560 0.15965885 1.09 1.09 0.2 0.125 7.47962391 8e+06 2.387759e+04
## 2561 0.07335938 1.09 1.09 0.2 0.125 0.62056611 8e+06 1.978063e+04
## 2562 0.69260307 1.09 1.09 0.2 0.125 1.60317562 8e+06 3.495112e+04
## 2563 0.25779964 1.09 1.09 0.2 0.125 0.69759924 8e+06 4.573874e+02
## 2564 0.13655135 1.09 1.09 0.2 0.125 6.90120289 8e+06 6.323244e+02
## 2565 0.22724379 1.09 1.09 0.2 0.125 0.38251732 8e+06 1.241637e+04
## 2566 0.14111899 1.09 1.09 0.2 0.125 9.08250379 8e+06 2.083396e+04
## 2567 0.24858494 1.09 1.09 0.2 0.125 0.78782008 8e+06 1.806470e+04
## 2568 0.18878379 1.09 1.09 0.2 0.125 4.71500495 8e+06 2.208702e+04
## 2569 0.06371389 1.09 1.09 0.2 0.125 0.25300599 8e+06 1.299044e+04
## 2570 0.58562289 1.09 1.09 0.2 0.125 2.37378298 8e+06 2.773192e+04
## 2571 0.39385565 1.09 1.09 0.2 0.125 0.87378992 8e+06 1.014424e+04
## 2572 0.51505025 1.09 1.09 0.2 0.125 6.95557262 8e+06 8.488572e+03
## 2573 0.17193046 1.09 1.09 0.2 0.125 0.55781787 8e+06 3.959290e+03
## 2574 0.11932310 1.09 1.09 0.2 0.125 5.33893391 8e+06 7.614485e+03
## 2575 0.09746926 1.09 1.09 0.2 0.125 0.69200113 8e+06 1.394299e+04
## 2576 0.18544734 1.09 1.09 0.2 0.125 5.38995376 8e+06 2.184325e+04
## 2577 0.31919189 1.09 1.09 0.2 0.125 0.39666363 8e+06 5.065656e+03
## 2578 0.13818709 1.09 1.09 0.2 0.125 19.40261168 8e+06 9.036404e+03
## 2579 0.36401899 1.09 1.09 0.2 0.125 0.94229256 8e+06 1.420000e+04
## 2580 0.16568930 1.09 1.09 0.2 0.125 1.68509431 8e+06 2.040241e+04
## 2581 0.09795052 1.09 1.09 0.2 0.125 0.55914720 8e+06 1.145099e+04
## 2582 0.13703865 1.09 1.09 0.2 0.125 6.26036570 8e+06 1.762388e+04
## 2583 0.21576370 1.09 1.09 0.2 0.125 0.54448227 8e+06 1.003157e+04
## 2584 0.17219771 1.09 1.09 0.2 0.125 4.58623901 8e+06 1.531229e+04
## 2585 0.30155703 1.09 1.09 0.2 0.125 0.79275008 8e+06 7.775722e+03
## 2586 0.20692221 1.09 1.09 0.2 0.125 11.13224997 8e+06 9.378442e+03
## 2587 0.38125704 1.09 1.09 0.2 0.125 0.88160326 8e+06 1.956262e+04
## 2588 0.23630927 1.09 1.09 0.2 0.125 12.11103596 8e+06 1.501939e+04
## 2589 0.24258568 1.09 1.09 0.2 0.125 0.80381705 8e+06 2.897776e+03
## 2590 0.17655221 1.09 1.09 0.2 0.125 17.01719071 8e+06 6.538290e+03
## 2591 0.05730250 1.09 1.09 0.2 0.125 0.87629430 8e+06 7.029546e+02
## 2592 0.58651567 1.09 1.09 0.2 0.125 31.06516471 8e+06 8.333366e+02
## 2593 0.27971532 1.09 1.09 0.2 0.125 0.84217625 8e+06 9.357026e+03
## 2594 0.15307833 1.09 1.09 0.2 0.125 3.03279521 8e+06 1.983414e+04
## 2595 0.31198679 1.09 1.09 0.2 0.125 0.67719156 8e+06 1.595910e+03
## 2596 0.51646442 1.09 1.09 0.2 0.125 3.19307346 8e+06 2.265568e+03
## 2597 0.37536769 1.09 1.09 0.2 0.125 0.71455022 8e+06 6.647385e+03
## 2598 0.13197326 1.09 1.09 0.2 0.125 5.21558126 8e+06 9.999303e+03
## 2599 0.27034864 1.09 1.09 0.2 0.125 0.88345851 8e+06 3.653421e+03
## 2600 0.50193173 1.09 1.09 0.2 0.125 2.00749424 8e+06 3.989733e+03
## 2601 0.33560996 1.09 1.09 0.2 0.125 0.36693764 8e+06 1.927986e+04
## 2602 0.19345126 1.09 1.09 0.2 0.125 4.28698895 8e+06 2.377270e+04
## 2603 0.21002553 1.09 1.09 0.2 0.125 0.47018947 8e+06 1.745610e+04
## 2604 0.14663916 1.09 1.09 0.2 0.125 20.69808628 8e+06 2.351399e+04
## 2605 0.12682147 1.09 1.09 0.2 0.125 0.41868148 8e+06 1.782387e+04
## 2606 0.18331762 1.09 1.09 0.2 0.125 2.68006427 8e+06 2.698914e+04
## 2607 0.18837766 1.09 1.09 0.2 0.125 0.78513373 8e+06 1.124015e+04
## 2608 0.16158360 1.09 1.09 0.2 0.125 7.99153287 8e+06 1.732257e+04
## 2609 0.10359103 1.09 1.09 0.2 0.125 0.74503522 8e+06 1.516427e+04
## 2610 0.14786759 1.09 1.09 0.2 0.125 4.43009531 8e+06 2.465496e+04
## 2611 0.16273806 1.09 1.09 0.2 0.125 0.30676119 8e+06 4.190468e+03
## 2612 0.14997919 1.09 1.09 0.2 0.125 8.45041751 8e+06 7.793832e+03
## 2613 0.34736713 1.09 1.09 0.2 0.125 0.67945419 8e+06 3.393483e+03
## 2614 0.09952408 1.09 1.09 0.2 0.125 7.79889290 8e+06 3.974570e+03
## 2615 0.19052555 1.09 1.09 0.2 0.125 0.89334838 8e+06 4.222994e+03
## 2616 0.69755370 1.09 1.09 0.2 0.125 14.95586038 8e+06 8.051943e+03
## 2617 0.14273169 1.09 1.09 0.2 0.125 0.63917253 8e+06 3.252303e+03
## 2618 0.66919063 1.09 1.09 0.2 0.125 1.57731497 8e+06 4.398608e+03
## 2619 0.15612854 1.09 1.09 0.2 0.125 0.41195611 8e+06 7.524628e+03
## 2620 0.13062569 1.09 1.09 0.2 0.125 17.74129062 8e+06 1.268853e+04
## 2621 0.34209468 1.09 1.09 0.2 0.125 0.61402235 8e+06 2.329130e+03
## 2622 0.64530449 1.09 1.09 0.2 0.125 2.97605456 8e+06 2.858706e+03
## 2623 0.14042446 1.09 1.09 0.2 0.125 0.71709635 8e+06 1.108941e+04
## 2624 0.11952364 1.09 1.09 0.2 0.125 6.51896067 8e+06 1.277767e+04
## 2625 0.38079879 1.09 1.09 0.2 0.125 0.37282417 8e+06 1.004924e+04
## 2626 0.13947421 1.09 1.09 0.2 0.125 3.77887515 8e+06 1.680204e+04
## 2627 0.37237472 1.09 1.09 0.2 0.125 0.35409077 8e+06 1.101813e+04
## 2628 0.15025988 1.09 1.09 0.2 0.125 10.05974579 8e+06 2.092087e+04
## 2629 0.21493964 1.09 1.09 0.2 0.125 0.52607659 8e+06 8.654774e+03
## 2630 0.14859479 1.09 1.09 0.2 0.125 6.11918788 8e+06 1.344997e+04
## 2631 0.21845274 1.09 1.09 0.2 0.125 0.52326847 8e+06 1.535521e+04
## 2632 0.14207802 1.09 1.09 0.2 0.125 3.28952437 8e+06 2.642946e+04
## 2633 0.12949172 1.09 1.09 0.2 0.125 0.98554284 8e+06 5.261100e+03
## 2634 0.17465923 1.09 1.09 0.2 0.125 12.52425921 8e+06 1.046356e+04
## 2635 0.10340346 1.09 1.09 0.2 0.125 0.99617142 8e+06 3.010135e+03
## 2636 0.13132991 1.09 1.09 0.2 0.125 4.70604180 8e+06 5.156860e+03
## 2637 0.09769587 1.09 1.09 0.2 0.125 0.84438976 8e+06 1.128511e+03
## 2638 0.10523504 1.09 1.09 0.2 0.125 14.18445008 8e+06 1.178258e+03
## 2639 0.31243154 1.09 1.09 0.2 0.125 0.38197487 8e+06 1.446594e+04
## 2640 0.16509137 1.09 1.09 0.2 0.125 27.24780340 8e+06 2.004955e+04
## 2641 0.27711774 1.09 1.09 0.2 0.125 0.71605831 8e+06 6.082038e+03
## 2642 0.06083346 1.09 1.09 0.2 0.125 5.17227959 8e+06 6.641902e+03
## 2643 0.15131362 1.09 1.09 0.2 0.125 0.92361787 8e+06 1.988490e+04
## 2644 0.59349667 1.09 1.09 0.2 0.125 4.71038445 8e+06 2.983931e+04
## 2645 0.16930528 1.09 1.09 0.2 0.125 0.48082364 8e+06 1.810956e+04
## 2646 0.57585378 1.09 1.09 0.2 0.125 18.16652910 8e+06 2.040768e+04
## 2647 0.18430851 1.09 1.09 0.2 0.125 0.41852157 8e+06 1.086343e+04
## 2648 0.57653938 1.09 1.09 0.2 0.125 1.87401804 8e+06 1.477716e+04
## 2649 0.10505953 1.09 1.09 0.2 0.125 0.68869633 8e+06 1.896536e+04
## 2650 0.12655002 1.09 1.09 0.2 0.125 9.25272268 8e+06 2.085680e+04
## 2651 0.28260687 1.09 1.09 0.2 0.125 0.54069953 8e+06 1.115691e+04
## 2652 0.15295170 1.09 1.09 0.2 0.125 3.32848823 8e+06 1.950990e+04
## 2653 0.36081564 1.09 1.09 0.2 0.125 0.92587404 8e+06 4.850204e+02
## 2654 0.11768404 1.09 1.09 0.2 0.125 4.98982898 8e+06 5.348629e+02
## 2655 0.18687573 1.09 1.09 0.2 0.125 0.71630294 8e+06 1.284608e+04
## 2656 0.19305813 1.09 1.09 0.2 0.125 7.24472087 8e+06 1.677816e+04
## 2657 0.26650007 1.09 1.09 0.2 0.125 0.67976541 8e+06 3.493125e+03
## 2658 0.12542812 1.09 1.09 0.2 0.125 6.99830502 8e+06 5.296498e+03
## 2659 0.37812572 1.09 1.09 0.2 0.125 0.80896901 8e+06 1.432278e+04
## 2660 0.13638119 1.09 1.09 0.2 0.125 5.19284396 8e+06 1.968460e+04
## 2661 0.37948127 1.09 1.09 0.2 0.125 0.30584723 8e+06 2.349895e+03
## 2662 0.22473293 1.09 1.09 0.2 0.125 4.71983373 8e+06 5.639386e+03
## 2663 0.33366572 1.09 1.09 0.2 0.125 0.89110987 8e+06 1.655444e+04
## 2664 0.13242275 1.09 1.09 0.2 0.125 5.41365415 8e+06 1.569343e+04
## 2665 0.14004147 1.09 1.09 0.2 0.125 0.81854454 8e+06 1.290886e+04
## 2666 0.20422762 1.09 1.09 0.2 0.125 8.60003796 8e+06 1.594853e+04
## 2667 0.18000188 1.09 1.09 0.2 0.125 0.75102953 8e+06 1.215704e+04
## 2668 0.20515507 1.09 1.09 0.2 0.125 4.32241978 8e+06 2.008731e+04
## 2669 0.29656606 1.09 1.09 0.2 0.125 0.54582581 8e+06 1.268721e+04
## 2670 0.17674882 1.09 1.09 0.2 0.125 6.95022628 8e+06 1.805806e+04
## 2671 0.20084495 1.09 1.09 0.2 0.125 0.43790573 8e+06 1.470778e+04
## 2672 0.16900790 1.09 1.09 0.2 0.125 4.41281443 8e+06 2.510040e+04
## 2673 0.36444912 1.09 1.09 0.2 0.125 0.56853178 8e+06 1.872222e+04
## 2674 0.75738159 1.09 1.09 0.2 0.125 0.97371886 8e+06 3.749231e+04
## 2675 0.17352601 1.09 1.09 0.2 0.125 0.23628982 8e+06 1.983898e+04
## 2676 0.16821802 1.09 1.09 0.2 0.125 9.33893193 8e+06 4.163429e+04
## 2677 0.13173205 1.09 1.09 0.2 0.125 0.44753041 8e+06 9.153351e+03
## 2678 0.14069219 1.09 1.09 0.2 0.125 4.22828181 8e+06 9.559843e+03
## 2679 0.21090939 1.09 1.09 0.2 0.125 0.31268445 8e+06 1.425049e+03
## 2680 0.22429271 1.09 1.09 0.2 0.125 1.35191812 8e+06 1.856455e+03
## 2681 0.13408941 1.09 1.09 0.2 0.125 0.52013129 8e+06 1.158315e+04
## 2682 0.14860594 1.09 1.09 0.2 0.125 4.27401847 8e+06 2.165893e+04
## 2683 0.25094218 1.09 1.09 0.2 0.125 0.37721258 8e+06 5.140235e+03
## 2684 0.59972929 1.09 1.09 0.2 0.125 2.93332328 8e+06 9.075248e+03
## 2685 0.27194094 1.09 1.09 0.2 0.125 0.38141473 8e+06 9.953470e+03
## 2686 0.55325079 1.09 1.09 0.2 0.125 4.74086256 8e+06 1.562092e+04
## 2687 0.08584775 1.09 1.09 0.2 0.125 0.75856900 8e+06 1.526073e+04
## 2688 0.62330807 1.09 1.09 0.2 0.125 10.44826775 8e+06 2.479510e+04
## 2689 0.14476315 1.09 1.09 0.2 0.125 0.39283960 8e+06 1.084264e+03
## 2690 0.17566731 1.09 1.09 0.2 0.125 5.31727721 8e+06 1.984163e+03
## 2691 0.12538121 1.09 1.09 0.2 0.125 0.98146558 8e+06 1.869375e+04
## 2692 0.19109977 1.09 1.09 0.2 0.125 9.14562074 8e+06 2.387592e+04
## 2693 0.15396724 1.09 1.09 0.2 0.125 0.76178138 8e+06 4.255370e+03
## 2694 0.52131483 1.09 1.09 0.2 0.125 6.20917537 8e+06 5.321882e+03
## 2695 0.34698369 1.09 1.09 0.2 0.125 0.44152385 8e+06 1.358074e+04
## 2696 0.20408884 1.09 1.09 0.2 0.125 4.25517175 8e+06 1.416397e+04
## 2697 0.38069784 1.09 1.09 0.2 0.125 0.86622592 8e+06 5.556542e+02
## 2698 0.10676104 1.09 1.09 0.2 0.125 9.06302954 8e+06 6.359970e+02
## 2699 0.27359015 1.09 1.09 0.2 0.125 0.70459991 8e+06 1.900645e+04
## 2700 0.15955221 1.09 1.09 0.2 0.125 3.93778763 8e+06 2.552241e+04
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## 2652 7.993953e+03 0 17 22
## 2653 1.606260e+04 0 17 22
## 2654 1.985752e+04 0 17 22
## 2655 4.420807e+03 0 17 22
## 2656 3.025351e+03 0 17 22
## 2657 8.639690e+03 0 17 22
## 2658 5.054895e+03 0 17 22
## 2659 1.678735e+04 0 17 22
## 2660 9.689104e+03 0 17 22
## 2661 9.090183e+02 0 17 22
## 2662 1.433234e+03 0 17 22
## 2663 1.413900e+04 0 17 22
## 2664 9.569075e+03 0 17 22
## 2665 3.698341e+03 0 17 22
## 2666 2.975611e+03 0 17 22
## 2667 6.108544e+03 0 17 22
## 2668 3.306874e+03 0 17 22
## 2669 5.920009e+03 0 17 22
## 2670 4.428351e+03 0 17 22
## 2671 9.295052e+03 0 17 22
## 2672 5.758811e+03 0 17 22
## 2673 3.515144e+03 0 17 22
## 2674 3.674726e+03 0 17 22
## 2675 1.648607e+04 0 17 22
## 2676 1.195871e+04 0 17 22
## 2677 1.169125e+04 0 17 22
## 2678 8.881299e+03 0 17 22
## 2679 1.301941e+03 0 17 22
## 2680 2.080628e+03 0 17 22
## 2681 1.015262e+04 0 17 22
## 2682 6.743577e+03 0 17 22
## 2683 7.417555e+03 0 17 22
## 2684 9.649142e+03 0 17 22
## 2685 1.367449e+04 0 17 22
## 2686 1.394028e+04 0 17 22
## 2687 1.511956e+03 0 17 22
## 2688 1.997766e+03 0 17 22
## 2689 1.575016e+03 0 17 22
## 2690 2.716598e+03 0 17 22
## 2691 4.936825e+03 0 17 22
## 2692 3.698904e+03 0 17 22
## 2693 9.710630e+03 0 17 22
## 2694 1.748631e+04 0 17 22
## 2695 2.088036e+03 0 17 22
## 2696 1.866531e+03 0 17 22
## 2697 1.305647e+04 0 17 22
## 2698 1.111715e+04 0 17 22
## 2699 1.562845e+04 0 17 22
## 2700 8.705325e+03 0 17 22
## 2701 1.208416e+04 0 17 22
## 2702 8.869790e+03 0 17 22
## PCR_sens sigma_M beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0
## 1 0.9 9.867105e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2 0.9 3.052595e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 3 0.9 4.871265e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 4 0.9 2.814612e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 5 0.9 1.170890e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 6 0.9 2.812833e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 7 0.9 3.876503e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 8 0.9 2.813773e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 9 0.9 1.220936e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 10 0.9 2.882137e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 11 0.9 3.328956e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 12 0.9 3.004170e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 13 0.9 2.890220e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 14 0.9 3.116942e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 15 0.9 1.264281e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 16 0.9 3.004127e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 17 0.9 4.996432e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 18 0.9 2.816628e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 19 0.9 1.013564e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 20 0.9 3.187959e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 21 0.9 1.518483e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 22 0.9 2.831911e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 23 0.9 1.011572e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 24 0.9 2.886821e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 25 0.9 1.908969e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 26 0.9 3.028676e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 27 0.9 3.602052e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 28 0.9 2.840995e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 29 0.9 2.662954e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 30 0.9 2.842662e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 31 0.9 2.297172e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 32 0.9 2.817479e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 33 0.9 2.625824e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 34 0.9 2.826957e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 35 0.9 7.033302e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 36 0.9 2.849653e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 37 0.9 2.115257e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 38 0.9 6.159118e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 39 0.9 2.954149e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 40 0.9 2.812508e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 41 0.9 1.168817e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 42 0.9 2.829757e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 43 0.9 1.396893e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 44 0.9 2.802163e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 45 0.9 3.556449e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 46 0.9 2.806694e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 47 0.9 3.085513e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 48 0.9 2.822040e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 49 0.9 1.205003e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 50 0.9 2.816765e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 51 0.9 2.516873e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 52 0.9 2.820025e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 53 0.9 2.039906e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 54 0.9 2.801721e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 55 0.9 1.643605e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 56 0.9 2.919188e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 57 0.9 9.555130e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 58 0.9 2.832178e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 59 0.9 4.223329e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 60 0.9 2.807969e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 61 0.9 3.120676e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 62 0.9 2.830270e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 63 0.9 1.178537e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 64 0.9 3.067063e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 65 0.9 3.548984e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 66 0.9 2.828850e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 67 0.9 3.237684e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 68 0.9 2.910793e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 69 0.9 4.119233e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 70 0.9 3.005047e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 71 0.9 2.237157e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 72 0.9 2.879909e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 73 0.9 4.899844e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 74 0.9 2.769607e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 75 0.9 3.495030e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 76 0.9 2.805448e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 77 0.9 1.756350e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 78 0.9 2.872016e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 79 0.9 2.104988e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 80 0.9 2.917784e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 81 0.9 3.172016e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 82 0.9 2.838683e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 83 0.9 9.989193e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 84 0.9 2.795958e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 85 0.9 2.072107e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 86 0.9 2.801200e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 87 0.9 4.932538e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 88 0.9 2.888000e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 89 0.9 1.606728e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 90 0.9 2.959620e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 91 0.9 4.311231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 92 0.9 2.841146e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 93 0.9 2.547262e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 94 0.9 2.877611e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 95 0.9 1.096275e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 96 0.9 2.884999e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 97 0.9 1.092730e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 98 0.9 2.931934e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 99 0.9 3.346850e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 100 0.9 2.788496e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 101 0.9 4.303957e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 102 0.9 4.644023e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 103 0.9 2.375810e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 104 0.9 2.770598e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 105 0.9 2.331963e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 106 0.9 2.822887e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 107 0.9 8.798013e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 108 0.9 2.808029e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 109 0.9 1.982233e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 110 0.9 2.817255e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 111 0.9 1.077679e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 112 0.9 3.010449e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 113 0.9 3.541914e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 114 0.9 2.800931e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 115 0.9 3.691242e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 116 0.9 3.139830e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 117 0.9 4.245087e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 118 0.9 2.841797e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 119 0.9 3.887851e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 120 0.9 2.975728e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 121 0.9 4.381909e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 122 0.9 2.806804e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 123 0.9 1.173806e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 124 0.9 2.883553e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 125 0.9 2.863117e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 126 0.9 2.933579e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 127 0.9 1.562014e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 128 0.9 2.827430e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 129 0.9 1.217021e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 130 0.9 2.822915e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 131 0.9 4.210966e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 132 0.9 2.781451e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 133 0.9 2.447877e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 134 0.9 3.055688e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 135 0.9 4.035369e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 136 0.9 2.831990e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 137 0.9 1.223036e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 138 0.9 2.832550e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 139 0.9 2.763662e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 140 0.9 3.020400e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 141 0.9 4.169681e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 142 0.9 3.889267e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 143 0.9 5.960251e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 144 0.9 4.529316e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 145 0.9 3.491684e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 146 0.9 2.799857e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 147 0.9 6.691083e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 148 0.9 2.817962e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 149 0.9 2.690092e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 150 0.9 2.813007e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 151 0.9 1.437300e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 152 0.9 2.798571e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 153 0.9 2.459951e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 154 0.9 2.797511e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 155 0.9 2.249613e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 156 0.9 2.965303e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 157 0.9 1.618215e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 158 0.9 2.803399e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 159 0.9 2.385701e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 160 0.9 2.822270e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 161 0.9 4.527220e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 162 0.9 2.956225e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 163 0.9 2.768707e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 164 0.9 2.913832e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 165 0.9 6.241987e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 166 0.9 2.790959e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 167 0.9 1.412653e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 168 0.9 2.801587e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 169 0.9 2.605227e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 170 0.9 3.046048e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 171 0.9 3.862565e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 172 0.9 2.804220e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 173 0.9 4.972131e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 174 0.9 4.513897e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 175 0.9 2.772573e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 176 0.9 3.040633e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 177 0.9 1.402279e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 178 0.9 2.999921e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 179 0.9 1.103740e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 180 0.9 2.914502e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 181 0.9 1.654436e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 182 0.9 2.795501e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 183 0.9 2.730868e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 184 0.9 2.981671e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 185 0.9 4.255018e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 186 0.9 2.911791e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 187 0.9 1.823889e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 188 0.9 2.867670e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 189 0.9 4.337879e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 190 0.9 2.804522e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 191 0.9 6.756294e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 192 0.9 2.818178e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 193 0.9 3.132753e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 194 0.9 3.100344e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 195 0.9 3.441650e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 196 0.9 2.814708e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 197 0.9 2.345629e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 198 0.9 2.830534e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 199 0.9 2.090291e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 200 0.9 2.821391e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 201 0.9 3.059807e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 202 0.9 2.976888e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 203 0.9 1.518841e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 204 0.9 2.850477e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 205 0.9 1.328549e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 206 0.9 3.054860e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 207 0.9 4.686791e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 208 0.9 3.034478e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 209 0.9 4.714374e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 210 0.9 2.819993e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 211 0.9 3.831520e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 212 0.9 2.794371e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 213 0.9 6.682302e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 214 0.9 2.833856e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 215 0.9 2.457703e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 216 0.9 2.812104e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 217 0.9 2.107372e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 218 0.9 2.782166e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 219 0.9 3.744975e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 220 0.9 2.936401e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 221 0.9 4.338840e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 222 0.9 2.799295e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 223 0.9 2.398257e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 224 0.9 2.823968e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 225 0.9 7.568321e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 226 0.9 2.845364e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 227 0.9 3.928951e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 228 0.9 3.086056e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 229 0.9 2.580661e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 230 0.9 2.822475e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 231 0.9 1.889721e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 232 0.9 2.781107e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 233 0.9 2.538736e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 234 0.9 2.805302e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 235 0.9 4.839398e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 236 0.9 2.827571e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 237 0.9 4.264371e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 238 0.9 3.085604e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 239 0.9 1.524545e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 240 0.9 2.807847e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 241 0.9 6.832893e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 242 0.9 2.823061e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 243 0.9 2.432345e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 244 0.9 2.856043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 245 0.9 5.141451e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 246 0.9 5.991512e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 247 0.9 1.129879e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 248 0.9 3.041688e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 249 0.9 1.601230e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 250 0.9 2.877529e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 251 0.9 4.445932e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 252 0.9 2.829136e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 253 0.9 3.292547e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 254 0.9 2.843283e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 255 0.9 3.356382e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 256 0.9 2.885697e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 257 0.9 4.424287e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 258 0.9 2.996678e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 259 0.9 4.646078e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 260 0.9 3.045088e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 261 0.9 8.904112e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 262 0.9 2.964791e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 263 0.9 4.178018e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 264 0.9 2.822810e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 265 0.9 7.045206e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 266 0.9 2.799803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 267 0.9 3.918131e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 268 0.9 2.860403e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 269 0.9 1.416176e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 270 0.9 2.827314e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 271 0.9 1.795958e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 272 0.9 2.825396e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 273 0.9 4.339043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 274 0.9 2.870001e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 275 0.9 3.177419e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 276 0.9 2.808186e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 277 0.9 4.474465e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 278 0.9 2.852002e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 279 0.9 2.216527e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 280 0.9 2.871916e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 281 0.9 2.955684e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 282 0.9 3.027486e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 283 0.9 4.615456e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 284 0.9 2.817040e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 285 0.9 1.579602e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 286 0.9 2.807815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 287 0.9 6.619067e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 288 0.9 2.918320e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 289 0.9 4.848925e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 290 0.9 3.026429e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 291 0.9 7.260462e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 292 0.9 2.760161e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 293 0.9 3.765035e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 294 0.9 2.792891e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 295 0.9 1.151511e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 296 0.9 2.811942e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 297 0.9 3.059275e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 298 0.9 2.838993e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 299 0.9 3.023668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 300 0.9 2.844185e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 301 0.9 1.602043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 302 0.9 2.923244e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 303 0.9 4.358411e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 304 0.9 2.823218e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 305 0.9 9.931193e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 306 0.9 2.818887e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 307 0.9 3.283074e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 308 0.9 2.833333e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 309 0.9 1.869586e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 310 0.9 5.959960e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 311 0.9 2.216025e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 312 0.9 3.212434e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 313 0.9 1.043715e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 314 0.9 2.797724e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 315 0.9 4.679679e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 316 0.9 2.801978e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 317 0.9 4.117394e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 318 0.9 2.835206e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 319 0.9 4.952016e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 320 0.9 2.797172e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 321 0.9 3.214492e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 322 0.9 2.816727e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 323 0.9 3.452213e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 324 0.9 2.812579e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 325 0.9 2.381208e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 326 0.9 2.793194e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 327 0.9 3.120841e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 328 0.9 2.936188e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 329 0.9 3.939863e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 330 0.9 2.936094e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 331 0.9 1.920426e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 332 0.9 2.846482e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 333 0.9 1.339259e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 334 0.9 2.911715e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 335 0.9 3.170216e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 336 0.9 3.024123e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 337 0.9 4.872507e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 338 0.9 2.829558e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 339 0.9 2.259430e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 340 0.9 2.830763e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 341 0.9 1.622985e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 342 0.9 3.070712e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 343 0.9 3.003414e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 344 0.9 2.801410e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 345 0.9 2.862724e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 346 0.9 2.848366e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 347 0.9 2.611864e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 348 0.9 2.912624e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 349 0.9 2.822818e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 350 0.9 2.936622e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 351 0.9 1.936975e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 352 0.9 3.104187e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 353 0.9 2.165806e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 354 0.9 2.855898e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 355 0.9 6.395721e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 356 0.9 2.864800e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 357 0.9 4.571342e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 358 0.9 3.052938e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 359 0.9 1.552714e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 360 0.9 2.930469e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 361 0.9 2.118577e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 362 0.9 2.809073e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 363 0.9 1.097693e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 364 0.9 2.948400e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 365 0.9 3.366419e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 366 0.9 2.896554e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 367 0.9 3.692743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 368 0.9 3.163306e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 369 0.9 1.925621e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 370 0.9 4.485316e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 371 0.9 4.493147e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 372 0.9 2.828730e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 373 0.9 1.478466e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 374 0.9 2.811964e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 375 0.9 2.006443e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 376 0.9 2.821356e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 377 0.9 2.580588e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 378 0.9 2.860635e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 379 0.9 3.408916e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 380 0.9 2.803672e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 381 0.9 4.508023e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 382 0.9 2.808959e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 383 0.9 1.163336e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 384 0.9 2.915571e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 385 0.9 4.653577e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 386 0.9 3.038490e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 387 0.9 2.766235e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 388 0.9 2.968630e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 389 0.9 4.024538e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 390 0.9 2.806421e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 391 0.9 1.896684e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 392 0.9 3.021977e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 393 0.9 3.574865e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 394 0.9 4.494019e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 395 0.9 3.585187e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 396 0.9 2.816852e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 397 0.9 6.564405e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 398 0.9 2.844946e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 399 0.9 2.331113e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 400 0.9 2.805412e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 401 0.9 4.979852e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 402 0.9 2.817836e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 403 0.9 1.947853e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 404 0.9 2.810081e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 405 0.9 3.776244e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 406 0.9 2.813034e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 407 0.9 3.048525e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 408 0.9 3.100541e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 409 0.9 2.393645e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 410 0.9 2.897169e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 411 0.9 1.410548e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 412 0.9 2.793865e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 413 0.9 3.795776e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 414 0.9 3.063410e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 415 0.9 8.114701e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 416 0.9 2.824688e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 417 0.9 3.641022e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 418 0.9 2.804700e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 419 0.9 2.038730e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 420 0.9 2.824436e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 421 0.9 2.726907e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 422 0.9 3.133922e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 423 0.9 3.977436e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 424 0.9 2.791809e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 425 0.9 4.254560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 426 0.9 2.952810e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 427 0.9 2.554227e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 428 0.9 2.829284e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 429 0.9 1.567163e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 430 0.9 2.787542e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 431 0.9 2.750655e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 432 0.9 3.132501e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 433 0.9 1.987700e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 434 0.9 2.857173e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 435 0.9 1.957880e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 436 0.9 2.814352e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 437 0.9 5.608985e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 438 0.9 2.867022e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 439 0.9 2.752235e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 440 0.9 2.851358e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 441 0.9 1.003335e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 442 0.9 2.799137e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 443 0.9 2.868985e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 444 0.9 2.830083e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 445 0.9 2.567620e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 446 0.9 2.835803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 447 0.9 1.569776e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 448 0.9 2.961729e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 449 0.9 1.307815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 450 0.9 2.855017e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 451 0.9 2.441598e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 452 0.9 2.851528e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 453 0.9 4.236296e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 454 0.9 2.986254e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 455 0.9 4.374685e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 456 0.9 2.922790e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 457 0.9 4.635392e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 458 0.9 2.948329e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 459 0.9 3.216138e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 460 0.9 2.838706e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 461 0.9 2.947597e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 462 0.9 2.806334e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 463 0.9 2.498693e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 464 0.9 2.854925e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 465 0.9 4.360894e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 466 0.9 2.821223e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 467 0.9 1.450226e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 468 0.9 2.808152e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 469 0.9 6.042636e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 470 0.9 4.444311e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 471 0.9 3.908845e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 472 0.9 2.808791e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 473 0.9 2.210415e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 474 0.9 2.831724e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 475 0.9 1.583369e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 476 0.9 2.813491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 477 0.9 3.367539e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 478 0.9 2.816658e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 479 0.9 4.983318e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 480 0.9 2.808292e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 481 0.9 2.539897e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 482 0.9 2.968718e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 483 0.9 3.913757e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 484 0.9 2.860886e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 485 0.9 1.638716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 486 0.9 2.816729e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 487 0.9 1.651538e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 488 0.9 3.179531e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 489 0.9 2.722132e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 490 0.9 2.984880e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 491 0.9 2.831343e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 492 0.9 3.058560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 493 0.9 1.301163e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 494 0.9 4.634463e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 495 0.9 2.132155e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 496 0.9 2.981398e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 497 0.9 1.974854e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 498 0.9 2.784743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 499 0.9 3.376889e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 500 0.9 2.998977e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 501 0.9 4.808165e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 502 0.9 2.794803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 503 0.9 4.544001e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 504 0.9 3.149647e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 505 0.9 2.376062e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 506 0.9 2.796012e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 507 0.9 3.671640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 508 0.9 2.953862e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 509 0.9 8.894050e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 510 0.9 2.796038e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 511 0.9 2.510748e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 512 0.9 3.038483e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 513 0.9 2.284046e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 514 0.9 2.859654e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 515 0.9 3.865834e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 516 0.9 2.881605e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 517 0.9 1.573697e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 518 0.9 6.274452e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 519 0.9 4.609741e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 520 0.9 2.956584e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 521 0.9 4.481668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 522 0.9 2.827218e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 523 0.9 2.288786e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 524 0.9 3.165183e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 525 0.9 4.148412e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 526 0.9 3.095719e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 527 0.9 1.682788e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 528 0.9 2.808217e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 529 0.9 3.117966e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 530 0.9 2.796421e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 531 0.9 3.712465e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 532 0.9 2.997284e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 533 0.9 1.017013e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 534 0.9 2.794951e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 535 0.9 8.901522e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 536 0.9 3.204076e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 537 0.9 2.858069e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 538 0.9 2.829120e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 539 0.9 1.550905e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 540 0.9 2.801533e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 541 0.9 1.180618e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 542 0.9 2.933872e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 543 0.9 2.594042e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 544 0.9 2.846343e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 545 0.9 2.259705e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 546 0.9 2.824773e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 547 0.9 6.462857e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 548 0.9 2.820245e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 549 0.9 3.440327e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 550 0.9 2.832505e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 551 0.9 1.962295e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 552 0.9 2.975171e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 553 0.9 9.237294e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 554 0.9 3.082918e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 555 0.9 4.269100e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 556 0.9 4.872658e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 557 0.9 2.075451e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 558 0.9 2.919399e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 559 0.9 3.979147e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 560 0.9 2.799618e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 561 0.9 7.577545e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 562 0.9 2.766809e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 563 0.9 4.162402e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 564 0.9 2.840643e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 565 0.9 1.962475e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 566 0.9 2.825206e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 567 0.9 4.106791e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 568 0.9 3.029897e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 569 0.9 2.860501e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 570 0.9 2.793228e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 571 0.9 4.073537e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 572 0.9 2.803567e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 573 0.9 1.004035e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 574 0.9 2.860387e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 575 0.9 4.528756e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 576 0.9 2.832245e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 577 0.9 3.193383e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 578 0.9 2.754122e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 579 0.9 4.464528e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 580 0.9 2.808628e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 581 0.9 4.110253e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 582 0.9 3.144875e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 583 0.9 3.902798e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 584 0.9 3.189971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 585 0.9 4.535715e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 586 0.9 3.072342e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 587 0.9 2.177573e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 588 0.9 2.822047e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 589 0.9 1.979322e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 590 0.9 2.807871e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 591 0.9 1.479615e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 592 0.9 2.839085e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 593 0.9 3.602335e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 594 0.9 2.784234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 595 0.9 1.879523e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 596 0.9 2.790345e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 597 0.9 3.983710e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 598 0.9 2.895030e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 599 0.9 4.877315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 600 0.9 2.787037e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 601 0.9 4.502967e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 602 0.9 2.826036e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 603 0.9 2.644037e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 604 0.9 2.884491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 605 0.9 3.743175e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 606 0.9 2.946864e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 607 0.9 2.456574e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 608 0.9 2.833207e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 609 0.9 3.143358e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 610 0.9 3.102833e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 611 0.9 4.687232e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 612 0.9 3.048218e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 613 0.9 7.156518e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 614 0.9 2.823419e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 615 0.9 4.982744e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 616 0.9 3.026692e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 617 0.9 1.130793e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 618 0.9 2.798343e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 619 0.9 3.871856e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 620 0.9 2.794592e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 621 0.9 3.066137e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 622 0.9 2.933037e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 623 0.9 4.681026e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 624 0.9 5.176706e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 625 0.9 1.455507e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 626 0.9 2.866880e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 627 0.9 1.463969e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 628 0.9 2.822549e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 629 0.9 1.315121e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 630 0.9 3.107759e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 631 0.9 9.458070e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 632 0.9 2.830368e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 633 0.9 1.507939e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 634 0.9 2.955780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 635 0.9 4.965860e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 636 0.9 2.863102e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 637 0.9 4.204433e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 638 0.9 2.962009e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 639 0.9 3.921653e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 640 0.9 2.867102e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 641 0.9 3.539773e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 642 0.9 2.834515e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 643 0.9 1.162358e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 644 0.9 2.812334e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 645 0.9 2.886398e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 646 0.9 3.303690e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 647 0.9 1.247280e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 648 0.9 2.801661e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 649 0.9 2.533733e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 650 0.9 2.834163e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 651 0.9 1.518265e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 652 0.9 2.820093e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 653 0.9 3.454321e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 654 0.9 5.870531e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 655 0.9 6.002569e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 656 0.9 2.806527e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 657 0.9 6.422799e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 658 0.9 3.380804e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 659 0.9 5.212175e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 660 0.9 3.017648e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 661 0.9 6.494299e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 662 0.9 2.852330e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 663 0.9 2.236134e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 664 0.9 2.800273e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 665 0.9 4.926895e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 666 0.9 2.824368e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 667 0.9 9.366781e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 668 0.9 2.843100e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 669 0.9 1.648683e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 670 0.9 2.806043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 671 0.9 4.285815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 672 0.9 2.816537e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 673 0.9 2.706728e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 674 0.9 2.866520e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 675 0.9 2.537940e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 676 0.9 2.793994e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 677 0.9 1.106786e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 678 0.9 2.828785e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 679 0.9 4.865245e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 680 0.9 2.800818e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 681 0.9 1.741842e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 682 0.9 2.966739e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 683 0.9 7.441828e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 684 0.9 2.825548e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 685 0.9 1.814022e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 686 0.9 3.083853e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 687 0.9 2.191200e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 688 0.9 2.823866e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 689 0.9 1.202242e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 690 0.9 2.892231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 691 0.9 3.785880e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 692 0.9 3.017351e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 693 0.9 1.442635e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 694 0.9 2.810322e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 695 0.9 3.815949e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 696 0.9 2.814251e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 697 0.9 3.071136e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 698 0.9 3.091005e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 699 0.9 2.971559e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 700 0.9 2.826038e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 701 0.9 3.471139e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 702 0.9 2.840753e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 703 0.9 2.872325e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 704 0.9 2.837291e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 705 0.9 1.857149e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 706 0.9 2.854402e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 707 0.9 3.451052e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 708 0.9 2.927917e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 709 0.9 3.351444e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 710 0.9 3.309145e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 711 0.9 4.073291e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 712 0.9 2.830188e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 713 0.9 3.685449e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 714 0.9 2.851282e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 715 0.9 1.766870e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 716 0.9 2.830388e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 717 0.9 3.095291e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 718 0.9 2.824804e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 719 0.9 3.888486e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 720 0.9 3.134616e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 721 0.9 3.809933e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 722 0.9 2.815875e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 723 0.9 4.593803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 724 0.9 2.830699e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 725 0.9 1.024576e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 726 0.9 3.088913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 727 0.9 7.566025e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 728 0.9 4.628064e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 729 0.9 1.205657e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 730 0.9 2.802478e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 731 0.9 4.322930e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 732 0.9 2.808702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 733 0.9 3.714039e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 734 0.9 2.826310e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 735 0.9 1.693361e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 736 0.9 2.984948e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 737 0.9 2.758833e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 738 0.9 2.811842e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 739 0.9 3.698089e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 740 0.9 4.954977e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 741 0.9 3.802236e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 742 0.9 2.844228e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 743 0.9 1.361682e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 744 0.9 2.803339e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 745 0.9 7.377780e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 746 0.9 2.835833e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 747 0.9 2.147940e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 748 0.9 2.831704e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 749 0.9 2.548053e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 750 0.9 2.974479e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 751 0.9 1.709860e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 752 0.9 2.852611e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 753 0.9 1.768536e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 754 0.9 2.839848e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 755 0.9 3.199724e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 756 0.9 2.838561e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 757 0.9 1.558403e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 758 0.9 2.996411e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 759 0.9 2.300433e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 760 0.9 2.812460e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 761 0.9 1.849995e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 762 0.9 6.152450e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 763 0.9 2.146409e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 764 0.9 2.816935e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 765 0.9 4.179073e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 766 0.9 3.122187e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 767 0.9 2.852637e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 768 0.9 2.876583e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 769 0.9 4.604227e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 770 0.9 2.943700e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 771 0.9 3.403598e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 772 0.9 3.042416e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 773 0.9 3.497493e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 774 0.9 2.802885e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 775 0.9 6.673320e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 776 0.9 2.776579e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 777 0.9 7.091357e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 778 0.9 2.824837e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 779 0.9 1.352428e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 780 0.9 2.914934e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 781 0.9 3.527469e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 782 0.9 3.165934e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 783 0.9 2.257772e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 784 0.9 2.848054e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 785 0.9 2.291140e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 786 0.9 2.810890e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 787 0.9 1.067965e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 788 0.9 2.899851e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 789 0.9 1.944013e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 790 0.9 2.818554e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 791 0.9 1.771305e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 792 0.9 2.823245e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 793 0.9 4.963794e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 794 0.9 2.922482e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 795 0.9 2.359524e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 796 0.9 2.870754e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 797 0.9 1.581062e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 798 0.9 2.957233e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 799 0.9 5.721206e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 800 0.9 2.817666e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 801 0.9 4.015351e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 802 0.9 2.995674e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 803 0.9 4.163100e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 804 0.9 3.016090e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 805 0.9 2.008242e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 806 0.9 2.828465e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 807 0.9 3.416882e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 808 0.9 2.790176e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 809 0.9 9.887876e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 810 0.9 3.508519e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 811 0.9 3.038945e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 812 0.9 2.799945e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 813 0.9 3.047593e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 814 0.9 2.794661e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 815 0.9 2.762279e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 816 0.9 2.813634e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 817 0.9 2.485450e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 818 0.9 2.816939e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 819 0.9 7.542506e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 820 0.9 2.961091e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 821 0.9 2.513373e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 822 0.9 2.842845e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 823 0.9 2.738038e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 824 0.9 2.891590e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 825 0.9 3.974491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 826 0.9 2.847856e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 827 0.9 8.654712e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 828 0.9 2.798336e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 829 0.9 4.323764e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 830 0.9 3.010763e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 831 0.9 7.630129e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 832 0.9 2.813163e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 833 0.9 4.831164e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 834 0.9 2.928965e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 835 0.9 1.910712e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 836 0.9 2.809234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 837 0.9 4.552228e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 838 0.9 3.000078e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 839 0.9 1.129323e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 840 0.9 2.786123e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 841 0.9 2.378815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 842 0.9 2.979858e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 843 0.9 2.637761e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 844 0.9 2.850384e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 845 0.9 1.952696e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 846 0.9 2.793987e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 847 0.9 2.600986e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 848 0.9 2.806753e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 849 0.9 1.268100e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 850 0.9 3.001967e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 851 0.9 1.983088e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 852 0.9 2.986919e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 853 0.9 1.096942e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 854 0.9 2.888670e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 855 0.9 8.579931e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 856 0.9 2.958388e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 857 0.9 8.330285e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 858 0.9 3.054632e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 859 0.9 4.176817e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 860 0.9 3.025563e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 861 0.9 3.534818e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 862 0.9 2.817503e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 863 0.9 1.096581e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 864 0.9 2.823399e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 865 0.9 2.850699e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 866 0.9 2.831757e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 867 0.9 1.234971e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 868 0.9 2.845234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 869 0.9 3.650483e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 870 0.9 2.806376e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 871 0.9 4.412892e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 872 0.9 2.809123e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 873 0.9 2.999921e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 874 0.9 2.839850e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 875 0.9 1.443495e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 876 0.9 2.816867e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 877 0.9 3.448202e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 878 0.9 2.833763e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 879 0.9 3.303670e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 880 0.9 2.940241e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 881 0.9 4.189260e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 882 0.9 2.829366e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 883 0.9 4.573260e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 884 0.9 2.967527e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 885 0.9 1.247850e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 886 0.9 2.999482e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 887 0.9 4.837587e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 888 0.9 3.042104e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 889 0.9 2.230494e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 890 0.9 2.829474e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 891 0.9 3.614682e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 892 0.9 2.860979e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 893 0.9 4.453801e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 894 0.9 2.815900e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 895 0.9 1.532427e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 896 0.9 2.842944e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 897 0.9 6.782224e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 898 0.9 2.828748e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 899 0.9 1.115938e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 900 0.9 2.797643e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 901 0.9 1.092418e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 902 0.9 2.826965e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 903 0.9 1.923804e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 904 0.9 2.785837e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 905 0.9 2.199605e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 906 0.9 2.809340e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 907 0.9 9.972621e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 908 0.9 2.825604e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 909 0.9 2.816305e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 910 0.9 2.797512e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 911 0.9 3.061783e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 912 0.9 2.827136e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 913 0.9 2.091601e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 914 0.9 2.833012e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 915 0.9 3.826209e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 916 0.9 3.009900e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 917 0.9 1.431267e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 918 0.9 3.006785e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 919 0.9 2.307483e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 920 0.9 2.872356e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 921 0.9 1.456312e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 922 0.9 2.801245e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 923 0.9 9.971107e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 924 0.9 2.778400e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 925 0.9 1.601653e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 926 0.9 2.903618e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 927 0.9 2.872987e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 928 0.9 2.958110e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 929 0.9 1.582871e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 930 0.9 3.210393e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 931 0.9 1.314890e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 932 0.9 2.943966e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 933 0.9 1.914423e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 934 0.9 3.019364e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 935 0.9 3.150178e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 936 0.9 3.186023e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 937 0.9 9.572548e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 938 0.9 2.787581e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 939 0.9 3.657336e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 940 0.9 3.201941e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 941 0.9 3.542962e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 942 0.9 2.923180e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 943 0.9 2.866549e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 944 0.9 3.083699e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 945 0.9 4.926574e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 946 0.9 2.826630e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 947 0.9 3.683192e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 948 0.9 2.823883e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 949 0.9 2.209305e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 950 0.9 2.791895e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 951 0.9 4.068913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 952 0.9 2.823334e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 953 0.9 2.090024e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 954 0.9 2.998688e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 955 0.9 2.267671e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 956 0.9 3.013877e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 957 0.9 4.334160e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 958 0.9 3.019672e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 959 0.9 2.592979e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 960 0.9 2.784679e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 961 0.9 2.013843e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 962 0.9 2.870806e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 963 0.9 3.979732e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 964 0.9 2.929033e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 965 0.9 4.630506e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 966 0.9 2.855094e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 967 0.9 4.473599e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 968 0.9 3.102213e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 969 0.9 3.772664e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 970 0.9 2.821572e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 971 0.9 4.236665e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 972 0.9 2.799102e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 973 0.9 4.777571e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 974 0.9 2.820935e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 975 0.9 3.002470e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 976 0.9 2.770020e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 977 0.9 2.246607e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 978 0.9 3.204173e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 979 0.9 4.400551e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 980 0.9 2.765916e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 981 0.9 2.846672e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 982 0.9 4.962399e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 983 0.9 1.348767e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 984 0.9 2.803304e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 985 0.9 3.553220e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 986 0.9 2.851968e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 987 0.9 2.271064e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 988 0.9 3.328771e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 989 0.9 3.482582e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 990 0.9 2.827434e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 991 0.9 4.272352e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 992 0.9 2.803864e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 993 0.9 3.571452e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 994 0.9 3.233106e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 995 0.9 4.134537e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 996 0.9 2.955083e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 997 0.9 4.063504e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 998 0.9 3.083607e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 999 0.9 2.840192e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1000 0.9 3.041406e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1001 0.9 2.322689e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1002 0.9 3.023136e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1003 0.9 4.514415e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1004 0.9 2.881103e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1005 0.9 3.009818e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1006 0.9 2.813673e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1007 0.9 2.232193e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1008 0.9 2.823881e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1009 0.9 2.504058e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1010 0.9 2.786603e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1011 0.9 3.498752e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1012 0.9 2.900248e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1013 0.9 2.667512e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1014 0.9 2.799837e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1015 0.9 3.096870e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1016 0.9 3.046696e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1017 0.9 4.293912e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1018 0.9 3.131320e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1019 0.9 3.962375e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1020 0.9 3.036443e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1021 0.9 2.621396e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1022 0.9 2.911443e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1023 0.9 3.248977e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1024 0.9 3.202169e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1025 0.9 9.696314e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1026 0.9 2.836613e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1027 0.9 1.533455e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1028 0.9 2.989543e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1029 0.9 8.511777e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1030 0.9 2.959373e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1031 0.9 2.471777e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1032 0.9 2.833188e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1033 0.9 4.738638e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1034 0.9 3.036930e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1035 0.9 6.634379e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1036 0.9 2.962229e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1037 0.9 1.982732e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1038 0.9 2.827124e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1039 0.9 4.669679e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1040 0.9 2.914604e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1041 0.9 6.195551e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1042 0.9 3.167741e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1043 0.9 3.605680e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1044 0.9 2.830093e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1045 0.9 5.526209e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1046 0.9 3.203297e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1047 0.9 1.042518e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1048 0.9 2.807963e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1049 0.9 2.136293e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1050 0.9 2.797442e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1051 0.9 3.037712e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1052 0.9 2.850815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1053 0.9 8.404844e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1054 0.9 2.798978e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1055 0.9 2.920965e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1056 0.9 3.068205e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1057 0.9 4.557714e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1058 0.9 3.106299e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1059 0.9 3.581712e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1060 0.9 2.812256e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1061 0.9 3.197434e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1062 0.9 2.813780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1063 0.9 1.180019e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1064 0.9 2.832272e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1065 0.9 3.131017e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1066 0.9 2.851345e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1067 0.9 4.953684e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1068 0.9 2.818737e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1069 0.9 3.474601e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1070 0.9 6.544561e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1071 0.9 6.929736e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1072 0.9 2.902159e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1073 0.9 4.396653e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1074 0.9 2.828372e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1075 0.9 1.449633e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1076 0.9 2.824874e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1077 0.9 6.493103e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1078 0.9 2.946895e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1079 0.9 5.220342e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1080 0.9 2.882136e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1081 0.9 2.009902e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1082 0.9 2.807037e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1083 0.9 1.018444e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1084 0.9 2.815535e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1085 0.9 3.343216e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1086 0.9 3.155271e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1087 0.9 4.598633e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1088 0.9 2.797716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1089 0.9 2.482367e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1090 0.9 2.803400e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1091 0.9 4.329086e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1092 0.9 2.834904e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1093 0.9 2.626910e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1094 0.9 2.851436e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1095 0.9 2.814557e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1096 0.9 2.820173e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1097 0.9 3.716188e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1098 0.9 2.993670e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1099 0.9 2.593972e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1100 0.9 3.013886e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1101 0.9 1.522890e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1102 0.9 2.837605e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1103 0.9 4.388404e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1104 0.9 2.964422e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1105 0.9 3.224717e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1106 0.9 2.858236e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1107 0.9 4.552410e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1108 0.9 2.834834e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1109 0.9 2.085936e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1110 0.9 3.383918e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1111 0.9 2.844872e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1112 0.9 2.957515e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1113 0.9 1.181930e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1114 0.9 2.811740e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1115 0.9 3.186486e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1116 0.9 3.235740e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1117 0.9 3.104067e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1118 0.9 2.809283e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1119 0.9 2.073450e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1120 0.9 2.815306e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1121 0.9 1.716797e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1122 0.9 2.809092e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1123 0.9 4.386144e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1124 0.9 2.961227e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1125 0.9 3.678656e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1126 0.9 2.857414e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1127 0.9 3.122160e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1128 0.9 3.107312e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1129 0.9 1.831566e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1130 0.9 2.809791e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1131 0.9 2.417180e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1132 0.9 2.809204e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1133 0.9 3.409093e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1134 0.9 4.431357e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1135 0.9 4.675368e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1136 0.9 2.817071e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1137 0.9 1.919388e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1138 0.9 2.943503e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1139 0.9 2.933744e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1140 0.9 2.950102e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1141 0.9 1.972952e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1142 0.9 2.813372e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1143 0.9 2.401131e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1144 0.9 3.020098e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1145 0.9 4.318369e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1146 0.9 3.205572e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1147 0.9 4.930500e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1148 0.9 2.811733e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1149 0.9 3.377871e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1150 0.9 3.198560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1151 0.9 4.712287e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1152 0.9 2.827250e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1153 0.9 1.889259e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1154 0.9 2.870184e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1155 0.9 1.049772e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1156 0.9 2.847277e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1157 0.9 1.644982e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1158 0.9 4.564600e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1159 0.9 3.884674e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1160 0.9 2.962073e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1161 0.9 1.714718e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1162 0.9 2.803893e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1163 0.9 1.849732e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1164 0.9 2.819422e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1165 0.9 5.193277e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1166 0.9 2.818314e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1167 0.9 4.998524e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1168 0.9 2.824452e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1169 0.9 4.716413e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1170 0.9 2.974078e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1171 0.9 1.505900e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1172 0.9 4.515410e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1173 0.9 3.683253e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1174 0.9 2.887887e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1175 0.9 1.431416e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1176 0.9 2.811813e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1177 0.9 2.779863e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1178 0.9 6.608189e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1179 0.9 3.065636e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1180 0.9 2.789557e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1181 0.9 1.946991e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1182 0.9 3.011645e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1183 0.9 3.822726e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1184 0.9 2.999501e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1185 0.9 8.359529e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1186 0.9 2.808346e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1187 0.9 4.729380e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1188 0.9 3.153586e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1189 0.9 5.837779e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1190 0.9 3.011734e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1191 0.9 4.834053e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1192 0.9 2.803856e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1193 0.9 2.798745e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1194 0.9 2.797997e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1195 0.9 4.651982e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1196 0.9 2.833556e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1197 0.9 9.016771e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1198 0.9 3.155584e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1199 0.9 7.273710e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1200 0.9 4.275229e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1201 0.9 4.740197e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1202 0.9 3.610451e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1203 0.9 3.334783e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1204 0.9 3.149300e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1205 0.9 4.027945e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1206 0.9 3.033959e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1207 0.9 3.999498e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1208 0.9 2.816815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1209 0.9 4.230798e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1210 0.9 2.813765e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1211 0.9 9.430996e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1212 0.9 2.870093e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1213 0.9 4.211403e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1214 0.9 3.168092e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1215 0.9 2.094995e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1216 0.9 2.816957e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1217 0.9 4.067930e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1218 0.9 2.835077e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1219 0.9 4.002327e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1220 0.9 2.909011e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1221 0.9 1.969959e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1222 0.9 2.814651e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1223 0.9 8.063556e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1224 0.9 2.822255e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1225 0.9 4.322648e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1226 0.9 7.502743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1227 0.9 4.371921e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1228 0.9 2.820265e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1229 0.9 2.292705e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1230 0.9 3.144553e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1231 0.9 4.960882e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1232 0.9 2.824154e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1233 0.9 6.482792e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1234 0.9 2.833177e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1235 0.9 4.938254e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1236 0.9 2.933863e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1237 0.9 3.378303e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1238 0.9 2.830170e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1239 0.9 6.198777e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1240 0.9 2.805291e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1241 0.9 2.264619e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1242 0.9 2.826445e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1243 0.9 1.603761e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1244 0.9 2.820397e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1245 0.9 1.673987e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1246 0.9 6.719853e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1247 0.9 2.041206e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1248 0.9 2.795231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1249 0.9 6.452018e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1250 0.9 2.898852e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1251 0.9 7.103941e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1252 0.9 2.815068e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1253 0.9 1.999646e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1254 0.9 2.807467e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1255 0.9 1.010544e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1256 0.9 2.802579e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1257 0.9 4.852743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1258 0.9 2.919855e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1259 0.9 4.995210e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1260 0.9 2.936728e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1261 0.9 3.562749e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1262 0.9 3.222322e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1263 0.9 1.406185e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1264 0.9 2.793141e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1265 0.9 1.966250e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1266 0.9 2.880646e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1267 0.9 4.097324e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1268 0.9 2.926448e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1269 0.9 2.593729e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1270 0.9 2.848378e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1271 0.9 3.664605e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1272 0.9 3.012706e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1273 0.9 3.056723e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1274 0.9 2.848052e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1275 0.9 2.074407e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1276 0.9 3.029380e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1277 0.9 2.287375e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1278 0.9 2.796931e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1279 0.9 3.831122e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1280 0.9 2.805694e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1281 0.9 3.394134e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1282 0.9 5.766296e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1283 0.9 2.131356e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1284 0.9 2.950191e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1285 0.9 3.918634e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1286 0.9 5.928256e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1287 0.9 3.005945e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1288 0.9 2.807559e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1289 0.9 3.581480e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1290 0.9 3.185202e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1291 0.9 4.698712e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1292 0.9 2.897079e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1293 0.9 2.262214e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1294 0.9 2.812630e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1295 0.9 3.825541e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1296 0.9 3.133068e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1297 0.9 6.826917e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1298 0.9 2.846313e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1299 0.9 7.992650e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1300 0.9 2.827723e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1301 0.9 1.996464e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1302 0.9 2.927586e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1303 0.9 1.657378e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1304 0.9 6.143964e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1305 0.9 3.563815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1306 0.9 2.828440e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1307 0.9 6.212548e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1308 0.9 3.013532e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1309 0.9 4.425842e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1310 0.9 2.827788e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1311 0.9 2.425630e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1312 0.9 2.789418e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1313 0.9 2.368803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1314 0.9 2.821095e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1315 0.9 3.513091e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1316 0.9 2.794758e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1317 0.9 2.912894e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1318 0.9 2.902036e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1319 0.9 4.913619e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1320 0.9 2.839989e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1321 0.9 4.537093e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1322 0.9 2.864197e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1323 0.9 5.671367e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1324 0.9 2.808091e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1325 0.9 3.343140e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1326 0.9 2.935225e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1327 0.9 3.180532e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1328 0.9 2.793847e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1329 0.9 2.358651e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1330 0.9 2.800537e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1331 0.9 2.772773e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1332 0.9 2.999177e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1333 0.9 1.982439e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1334 0.9 3.071155e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1335 0.9 2.379001e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1336 0.9 2.831783e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1337 0.9 2.547805e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1338 0.9 2.890001e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1339 0.9 3.034478e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1340 0.9 2.889487e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1341 0.9 4.821552e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1342 0.9 3.991996e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1343 0.9 3.536976e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1344 0.9 2.980266e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1345 0.9 2.103913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1346 0.9 2.801885e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1347 0.9 1.987283e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1348 0.9 2.909444e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1349 0.9 3.486161e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1350 0.9 2.825705e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1351 0.9 2.725798e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1352 0.9 2.820100e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1353 0.9 2.057125e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1354 0.9 2.819092e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1355 0.9 2.756507e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1356 0.9 2.811568e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1357 0.9 4.922379e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1358 0.9 2.776674e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1359 0.9 2.001832e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1360 0.9 2.789494e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1361 0.9 2.070449e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1362 0.9 2.835461e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1363 0.9 2.673109e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1364 0.9 3.103665e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1365 0.9 1.972871e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1366 0.9 3.155570e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1367 0.9 4.600892e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1368 0.9 2.802604e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1369 0.9 1.987543e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1370 0.9 2.875752e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1371 0.9 3.936545e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1372 0.9 3.052717e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1373 0.9 1.520544e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1374 0.9 2.824750e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1375 0.9 3.544260e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1376 0.9 2.990747e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1377 0.9 3.229987e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1378 0.9 2.773426e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1379 0.9 2.378742e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1380 0.9 2.842164e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1381 0.9 4.352732e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1382 0.9 2.801744e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1383 0.9 2.282417e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1384 0.9 2.953392e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1385 0.9 2.802337e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1386 0.9 2.821433e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1387 0.9 1.931025e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1388 0.9 2.779911e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1389 0.9 2.692132e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1390 0.9 3.055010e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1391 0.9 3.388395e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1392 0.9 2.982292e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1393 0.9 2.332706e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1394 0.9 2.836525e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1395 0.9 1.180447e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1396 0.9 2.852823e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1397 0.9 1.794203e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1398 0.9 2.846974e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1399 0.9 9.878444e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1400 0.9 3.126537e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1401 0.9 3.208413e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1402 0.9 2.827690e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1403 0.9 4.904536e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1404 0.9 2.790764e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1405 0.9 1.414554e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1406 0.9 2.810091e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1407 0.9 4.041488e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1408 0.9 2.817626e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1409 0.9 9.571496e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1410 0.9 3.152719e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1411 0.9 3.510636e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1412 0.9 3.123155e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1413 0.9 2.907902e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1414 0.9 2.802674e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1415 0.9 4.824729e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1416 0.9 2.834431e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1417 0.9 1.941129e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1418 0.9 2.816212e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1419 0.9 1.869252e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1420 0.9 2.961369e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1421 0.9 2.932117e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1422 0.9 2.791086e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1423 0.9 4.424543e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1424 0.9 4.431892e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1425 0.9 4.601724e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1426 0.9 2.789690e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1427 0.9 3.836011e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1428 0.9 1.274111e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1429 0.9 4.815360e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1430 0.9 3.089920e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1431 0.9 4.882837e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1432 0.9 2.834591e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1433 0.9 4.242507e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1434 0.9 2.822114e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1435 0.9 4.267048e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1436 0.9 2.962986e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1437 0.9 3.847365e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1438 0.9 3.216885e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1439 0.9 2.319467e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1440 0.9 2.961658e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1441 0.9 3.493235e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1442 0.9 2.912093e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1443 0.9 4.790988e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1444 0.9 2.775340e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1445 0.9 1.524767e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1446 0.9 2.802312e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1447 0.9 4.489568e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1448 0.9 3.953663e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1449 0.9 4.123315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1450 0.9 2.810496e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1451 0.9 7.359905e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1452 0.9 2.920437e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1453 0.9 3.796142e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1454 0.9 2.798557e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1455 0.9 4.132705e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1456 0.9 3.148107e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1457 0.9 2.016995e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1458 0.9 2.805315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1459 0.9 1.613252e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1460 0.9 2.829933e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1461 0.9 8.693371e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1462 0.9 2.851348e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1463 0.9 1.939477e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1464 0.9 2.833702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1465 0.9 2.901210e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1466 0.9 2.778340e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1467 0.9 2.202130e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1468 0.9 2.881070e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1469 0.9 2.857327e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1470 0.9 3.080168e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1471 0.9 4.782350e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1472 0.9 2.945183e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1473 0.9 3.926959e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1474 0.9 2.820836e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1475 0.9 3.795802e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1476 0.9 2.905557e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1477 0.9 3.893621e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1478 0.9 2.847530e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1479 0.9 1.562529e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1480 0.9 2.780782e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1481 0.9 4.166386e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1482 0.9 2.789037e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1483 0.9 3.043846e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1484 0.9 2.814522e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1485 0.9 2.120633e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1486 0.9 3.045004e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1487 0.9 3.058898e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1488 0.9 2.880386e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1489 0.9 3.215406e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1490 0.9 2.844208e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1491 0.9 1.016411e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1492 0.9 2.808192e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1493 0.9 2.118687e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1494 0.9 2.967688e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1495 0.9 2.546934e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1496 0.9 2.846212e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1497 0.9 1.349948e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1498 0.9 2.856466e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1499 0.9 1.650836e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1500 0.9 3.149840e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1501 0.9 2.526055e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1502 0.9 5.744517e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1503 0.9 2.162472e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1504 0.9 2.991720e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1505 0.9 3.028157e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1506 0.9 2.821852e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1507 0.9 4.482392e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1508 0.9 2.820002e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1509 0.9 3.842667e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1510 0.9 2.900267e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1511 0.9 4.254897e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1512 0.9 2.800995e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1513 0.9 4.908149e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1514 0.9 2.838620e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1515 0.9 2.948273e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1516 0.9 2.816044e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1517 0.9 8.982902e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1518 0.9 3.165338e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1519 0.9 2.214528e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1520 0.9 3.053275e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1521 0.9 4.098426e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1522 0.9 2.816336e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1523 0.9 3.516605e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1524 0.9 2.839379e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1525 0.9 2.133195e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1526 0.9 2.788660e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1527 0.9 2.506457e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1528 0.9 2.830906e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1529 0.9 3.233052e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1530 0.9 2.986059e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1531 0.9 1.610387e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1532 0.9 4.451605e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1533 0.9 3.094821e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1534 0.9 2.823014e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1535 0.9 4.726422e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1536 0.9 2.819349e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1537 0.9 4.771364e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1538 0.9 2.820448e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1539 0.9 3.167038e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1540 0.9 2.855430e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1541 0.9 3.599215e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1542 0.9 2.832367e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1543 0.9 9.956918e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1544 0.9 2.828259e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1545 0.9 3.318917e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1546 0.9 2.984972e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1547 0.9 3.853693e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1548 0.9 2.816798e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1549 0.9 1.341068e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1550 0.9 3.040595e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1551 0.9 2.539130e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1552 0.9 2.884298e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1553 0.9 3.596184e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1554 0.9 2.912971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1555 0.9 2.265949e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1556 0.9 2.832697e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1557 0.9 1.957543e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1558 0.9 2.817942e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1559 0.9 1.508256e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1560 0.9 2.836557e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1561 0.9 3.113069e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1562 0.9 2.847783e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1563 0.9 3.430294e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1564 0.9 2.807616e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1565 0.9 3.464846e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1566 0.9 2.981876e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1567 0.9 2.722401e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1568 0.9 2.821487e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1569 0.9 4.079440e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1570 0.9 2.814712e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1571 0.9 5.988260e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1572 0.9 3.035946e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1573 0.9 4.075165e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1574 0.9 2.986990e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1575 0.9 2.531765e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1576 0.9 2.795380e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1577 0.9 2.765891e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1578 0.9 3.087500e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1579 0.9 3.395070e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1580 0.9 2.792740e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1581 0.9 3.196847e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1582 0.9 3.018473e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1583 0.9 1.004856e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1584 0.9 2.782694e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1585 0.9 5.690191e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1586 0.9 2.800966e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1587 0.9 3.217222e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1588 0.9 2.792062e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1589 0.9 1.957018e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1590 0.9 1.280489e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1591 0.9 2.543578e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1592 0.9 3.872083e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1593 0.9 2.009155e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1594 0.9 3.085048e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1595 0.9 3.910574e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1596 0.9 2.900224e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1597 0.9 2.794490e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1598 0.9 2.885514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1599 0.9 2.137704e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1600 0.9 3.048201e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1601 0.9 4.192342e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1602 0.9 2.872957e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1603 0.9 4.784292e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1604 0.9 2.834291e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1605 0.9 7.689240e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1606 0.9 2.834634e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1607 0.9 3.430110e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1608 0.9 3.124749e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1609 0.9 4.893707e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1610 0.9 2.975840e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1611 0.9 4.179584e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1612 0.9 2.951275e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1613 0.9 4.028676e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1614 0.9 2.918043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1615 0.9 2.926945e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1616 0.9 2.801170e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1617 0.9 3.834905e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1618 0.9 2.924498e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1619 0.9 9.817069e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1620 0.9 2.843491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1621 0.9 2.659513e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1622 0.9 2.812071e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1623 0.9 4.475488e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1624 0.9 2.783277e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1625 0.9 2.608903e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1626 0.9 2.831960e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1627 0.9 2.237562e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1628 0.9 2.841993e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1629 0.9 2.865723e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1630 0.9 2.996325e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1631 0.9 3.795097e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1632 0.9 2.868071e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1633 0.9 8.271753e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1634 0.9 2.852874e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1635 0.9 4.872075e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1636 0.9 3.039147e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1637 0.9 4.623719e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1638 0.9 6.255774e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1639 0.9 1.731194e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1640 0.9 4.594423e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1641 0.9 1.950249e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1642 0.9 2.801295e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1643 0.9 1.910412e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1644 0.9 2.823972e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1645 0.9 3.744768e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1646 0.9 2.930573e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1647 0.9 3.193405e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1648 0.9 2.959959e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1649 0.9 7.412560e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1650 0.9 2.835110e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1651 0.9 4.411252e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1652 0.9 2.862820e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1653 0.9 4.748337e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1654 0.9 2.776976e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1655 0.9 4.215338e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1656 0.9 3.038218e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1657 0.9 1.232278e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1658 0.9 2.826242e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1659 0.9 3.886704e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1660 0.9 2.799968e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1661 0.9 2.117894e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1662 0.9 2.833893e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1663 0.9 6.539283e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1664 0.9 2.792951e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1665 0.9 3.322768e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1666 0.9 2.818189e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1667 0.9 1.887315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1668 0.9 2.977139e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1669 0.9 1.154529e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1670 0.9 2.799096e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1671 0.9 4.149107e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1672 0.9 2.808705e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1673 0.9 1.429318e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1674 0.9 2.824560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1675 0.9 1.071963e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1676 0.9 2.859193e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1677 0.9 2.917751e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1678 0.9 2.763048e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1679 0.9 1.828779e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1680 0.9 3.072041e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1681 0.9 1.499973e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1682 0.9 2.988719e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1683 0.9 9.539036e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1684 0.9 2.820807e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1685 0.9 3.213982e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1686 0.9 4.659380e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1687 0.9 6.307425e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1688 0.9 2.884028e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1689 0.9 7.678192e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1690 0.9 2.789201e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1691 0.9 2.266721e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1692 0.9 2.832653e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1693 0.9 4.541492e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1694 0.9 2.864895e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1695 0.9 3.716917e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1696 0.9 2.995747e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1697 0.9 4.034736e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1698 0.9 3.013659e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1699 0.9 3.018244e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1700 0.9 2.877714e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1701 0.9 1.165988e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1702 0.9 2.881529e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1703 0.9 2.010966e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1704 0.9 3.069055e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1705 0.9 1.303586e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1706 0.9 2.948755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1707 0.9 1.117459e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1708 0.9 3.931366e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1709 0.9 3.943466e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1710 0.9 6.314486e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1711 0.9 3.677262e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1712 0.9 2.792556e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1713 0.9 2.911964e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1714 0.9 2.982144e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1715 0.9 2.309415e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1716 0.9 2.830032e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1717 0.9 3.777834e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1718 0.9 3.168661e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1719 0.9 4.701492e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1720 0.9 2.982546e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1721 0.9 1.113272e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1722 0.9 2.903594e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1723 0.9 1.898928e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1724 0.9 2.930764e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1725 0.9 4.556822e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1726 0.9 2.814699e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1727 0.9 2.499045e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1728 0.9 2.848738e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1729 0.9 1.296522e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1730 0.9 2.822055e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1731 0.9 2.487200e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1732 0.9 3.100998e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1733 0.9 4.596084e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1734 0.9 2.861615e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1735 0.9 4.664626e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1736 0.9 2.811656e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1737 0.9 4.135332e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1738 0.9 2.991547e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1739 0.9 1.375207e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1740 0.9 3.103707e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1741 0.9 1.462179e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1742 0.9 2.797476e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1743 0.9 3.962967e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1744 0.9 2.805129e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1745 0.9 2.180414e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1746 0.9 3.053829e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1747 0.9 4.172492e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1748 0.9 2.906332e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1749 0.9 2.762971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1750 0.9 2.814525e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1751 0.9 9.904472e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1752 0.9 2.813723e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1753 0.9 2.185425e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1754 0.9 2.957276e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1755 0.9 3.958336e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1756 0.9 2.812219e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1757 0.9 1.996604e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1758 0.9 3.061627e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1759 0.9 3.304867e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1760 0.9 2.991625e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1761 0.9 2.788247e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1762 0.9 2.819052e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1763 0.9 3.666158e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1764 0.9 2.806110e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1765 0.9 1.641366e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1766 0.9 2.862528e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1767 0.9 1.217251e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1768 0.9 3.172778e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1769 0.9 1.801376e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1770 0.9 3.028789e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1771 0.9 3.229295e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1772 0.9 2.842838e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1773 0.9 2.764175e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1774 0.9 2.784423e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1775 0.9 2.461953e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1776 0.9 2.793456e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1777 0.9 9.596140e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1778 0.9 4.717414e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1779 0.9 1.414416e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1780 0.9 2.845373e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1781 0.9 1.967724e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1782 0.9 2.800619e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1783 0.9 1.214290e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1784 0.9 2.805387e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1785 0.9 4.115994e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1786 0.9 2.889553e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1787 0.9 1.524643e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1788 0.9 2.824780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1789 0.9 3.739748e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1790 0.9 3.054006e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1791 0.9 3.042847e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1792 0.9 2.792441e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1793 0.9 3.986042e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1794 0.9 2.826052e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1795 0.9 1.083199e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1796 0.9 2.872171e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1797 0.9 8.712479e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1798 0.9 2.806412e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1799 0.9 2.488692e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1800 0.9 2.826494e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1801 0.9 3.230371e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1802 0.9 2.816581e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1803 0.9 1.654218e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1804 0.9 2.780436e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1805 0.9 3.136048e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1806 0.9 2.830397e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1807 0.9 4.023434e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1808 0.9 2.804190e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1809 0.9 8.175861e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1810 0.9 2.989187e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1811 0.9 1.302615e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1812 0.9 3.022776e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1813 0.9 2.810700e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1814 0.9 2.937983e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1815 0.9 4.055440e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1816 0.9 2.798787e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1817 0.9 7.939359e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1818 0.9 3.228613e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1819 0.9 4.433534e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1820 0.9 2.840625e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1821 0.9 1.055468e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1822 0.9 6.144662e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1823 0.9 1.700567e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1824 0.9 2.804682e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1825 0.9 1.295664e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1826 0.9 2.897908e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1827 0.9 4.612495e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1828 0.9 2.907216e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1829 0.9 6.085994e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1830 0.9 5.906100e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1831 0.9 2.985861e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1832 0.9 2.796882e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1833 0.9 1.534211e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1834 0.9 2.811075e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1835 0.9 4.549371e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1836 0.9 2.998428e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1837 0.9 2.764567e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1838 0.9 2.804080e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1839 0.9 2.775553e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1840 0.9 2.812307e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1841 0.9 3.691133e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1842 0.9 2.797022e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1843 0.9 4.314755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1844 0.9 3.037764e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1845 0.9 2.431196e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1846 0.9 2.818408e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1847 0.9 1.925488e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1848 0.9 3.039289e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1849 0.9 2.459089e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1850 0.9 2.865003e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1851 0.9 6.272095e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1852 0.9 2.929968e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1853 0.9 2.462883e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1854 0.9 2.818375e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1855 0.9 4.835429e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1856 0.9 2.964691e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1857 0.9 2.767955e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1858 0.9 2.807965e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1859 0.9 6.502026e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1860 0.9 2.855774e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1861 0.9 7.165549e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1862 0.9 2.874575e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1863 0.9 1.654377e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1864 0.9 2.796253e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1865 0.9 1.240497e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1866 0.9 2.836914e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1867 0.9 3.161642e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1868 0.9 2.795351e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1869 0.9 2.851220e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1870 0.9 2.809325e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1871 0.9 2.500229e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1872 0.9 2.926292e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1873 0.9 1.936170e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1874 0.9 3.162927e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1875 0.9 4.904847e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1876 0.9 2.856153e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1877 0.9 4.377661e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1878 0.9 2.825639e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1879 0.9 1.280223e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1880 0.9 2.961275e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1881 0.9 1.380379e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1882 0.9 2.807765e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1883 0.9 3.948286e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1884 0.9 2.867487e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1885 0.9 5.315981e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1886 0.9 2.814761e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1887 0.9 4.127369e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1888 0.9 2.998129e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1889 0.9 2.419998e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1890 0.9 2.950293e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1891 0.9 4.917632e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1892 0.9 2.803755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1893 0.9 1.953562e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1894 0.9 2.809138e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1895 0.9 9.603467e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1896 0.9 2.810334e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1897 0.9 1.174750e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1898 0.9 2.819212e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1899 0.9 2.921860e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1900 0.9 4.096703e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1901 0.9 3.852746e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1902 0.9 2.950998e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1903 0.9 1.735227e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1904 0.9 2.908800e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1905 0.9 3.863379e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1906 0.9 2.805472e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1907 0.9 3.854631e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1908 0.9 3.103068e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1909 0.9 3.633918e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1910 0.9 2.827453e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1911 0.9 6.105016e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1912 0.9 2.858294e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1913 0.9 3.491376e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1914 0.9 2.935533e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1915 0.9 3.808247e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1916 0.9 2.800426e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1917 0.9 3.404848e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1918 0.9 2.901869e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1919 0.9 1.549076e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1920 0.9 2.805981e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1921 0.9 4.275480e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1922 0.9 3.015335e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1923 0.9 4.575681e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1924 0.9 2.809871e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1925 0.9 7.547340e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1926 0.9 2.805058e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1927 0.9 1.402007e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1928 0.9 2.942257e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1929 0.9 4.480566e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1930 0.9 2.965843e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1931 0.9 2.752089e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1932 0.9 2.825728e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1933 0.9 4.393430e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1934 0.9 2.800709e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1935 0.9 4.535812e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1936 0.9 2.790696e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1937 0.9 4.428302e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1938 0.9 2.809935e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1939 0.9 2.564712e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1940 0.9 2.835372e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1941 0.9 1.822832e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1942 0.9 2.810606e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1943 0.9 1.491318e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1944 0.9 2.814467e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1945 0.9 2.272397e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1946 0.9 4.651589e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1947 0.9 3.056544e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1948 0.9 2.808335e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1949 0.9 2.508373e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1950 0.9 2.845009e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1951 0.9 2.648944e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1952 0.9 3.063653e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1953 0.9 3.135110e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1954 0.9 2.830948e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1955 0.9 3.845617e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1956 0.9 2.774385e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1957 0.9 8.740343e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1958 0.9 2.823886e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1959 0.9 3.172220e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1960 0.9 2.808608e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1961 0.9 1.574287e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1962 0.9 1.820841e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1963 0.9 4.870940e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1964 0.9 3.031025e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1965 0.9 3.157805e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1966 0.9 2.835319e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1967 0.9 2.167717e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1968 0.9 2.830006e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1969 0.9 2.035547e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1970 0.9 2.948567e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1971 0.9 3.294974e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1972 0.9 2.947916e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1973 0.9 2.887923e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1974 0.9 2.808025e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1975 0.9 4.312860e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1976 0.9 2.788808e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1977 0.9 1.829206e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1978 0.9 3.125249e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1979 0.9 2.371697e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1980 0.9 2.854037e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1981 0.9 2.537644e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1982 0.9 2.830872e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1983 0.9 2.600325e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1984 0.9 2.967437e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1985 0.9 2.073265e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1986 0.9 2.842855e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1987 0.9 3.635124e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1988 0.9 2.926562e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1989 0.9 3.743224e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1990 0.9 3.038790e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1991 0.9 5.045587e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1992 0.9 2.790582e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1993 0.9 2.891985e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1994 0.9 2.949633e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1995 0.9 1.905975e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1996 0.9 2.797358e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1997 0.9 4.684770e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1998 0.9 3.135969e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1999 0.9 4.922790e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2000 0.9 2.798445e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2001 0.9 3.439539e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2002 0.9 2.804708e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2003 0.9 2.858706e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2004 0.9 2.814356e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2005 0.9 8.324047e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2006 0.9 2.814950e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2007 0.9 4.737756e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2008 0.9 2.891149e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2009 0.9 1.125807e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2010 0.9 2.799244e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2011 0.9 5.343315e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2012 0.9 7.272142e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2013 0.9 3.650369e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2014 0.9 2.867006e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2015 0.9 3.837033e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2016 0.9 2.781786e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2017 0.9 3.588529e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2018 0.9 2.824501e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2019 0.9 3.276529e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2020 0.9 2.782692e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2021 0.9 3.901728e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2022 0.9 2.837887e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2023 0.9 4.042565e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2024 0.9 2.852756e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2025 0.9 4.808783e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2026 0.9 2.837391e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2027 0.9 4.706172e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2028 0.9 2.796421e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2029 0.9 4.715997e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2030 0.9 3.018559e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2031 0.9 3.589528e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2032 0.9 2.995788e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2033 0.9 4.813474e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2034 0.9 2.795110e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2035 0.9 4.951838e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2036 0.9 2.794097e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2037 0.9 4.006458e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2038 0.9 2.822625e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2039 0.9 4.875247e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2040 0.9 2.815974e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2041 0.9 1.390085e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2042 0.9 2.810956e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2043 0.9 3.379468e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2044 0.9 2.901552e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2045 0.9 3.089688e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2046 0.9 2.877692e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2047 0.9 4.613378e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2048 0.9 2.813548e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2049 0.9 3.608622e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2050 0.9 4.531979e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2051 0.9 4.332339e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2052 0.9 2.871072e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2053 0.9 4.436070e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2054 0.9 2.830646e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2055 0.9 4.403847e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2056 0.9 3.075933e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2057 0.9 3.246468e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2058 0.9 2.858399e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2059 0.9 2.495986e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2060 0.9 2.995730e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2061 0.9 4.110139e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2062 0.9 2.799582e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2063 0.9 2.900356e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2064 0.9 2.958632e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2065 0.9 4.722717e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2066 0.9 2.816568e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2067 0.9 2.669378e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2068 0.9 2.803207e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2069 0.9 3.817514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2070 0.9 2.910166e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2071 0.9 4.617425e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2072 0.9 2.817833e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2073 0.9 2.068808e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2074 0.9 2.848286e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2075 0.9 1.493898e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2076 0.9 4.924419e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2077 0.9 6.231870e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2078 0.9 2.868938e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2079 0.9 3.499222e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2080 0.9 2.812292e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2081 0.9 2.950284e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2082 0.9 2.845025e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2083 0.9 4.703183e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2084 0.9 2.824910e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2085 0.9 4.818656e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2086 0.9 2.848610e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2087 0.9 1.157903e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2088 0.9 2.918663e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2089 0.9 1.489160e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2090 0.9 3.025349e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2091 0.9 3.761971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2092 0.9 2.858511e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2093 0.9 4.704260e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2094 0.9 3.186571e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2095 0.9 5.263629e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2096 0.9 2.803369e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2097 0.9 4.734143e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2098 0.9 2.947452e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2099 0.9 4.161111e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2100 0.9 2.824038e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2101 0.9 2.007014e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2102 0.9 3.177567e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2103 0.9 1.098665e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2104 0.9 2.811875e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2105 0.9 3.938752e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2106 0.9 2.861994e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2107 0.9 4.523381e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2108 0.9 3.327757e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2109 0.9 2.865178e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2110 0.9 2.789949e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2111 0.9 1.556200e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2112 0.9 2.800468e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2113 0.9 3.500421e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2114 0.9 2.840038e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2115 0.9 4.182444e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2116 0.9 2.953892e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2117 0.9 3.986615e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2118 0.9 2.820366e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2119 0.9 2.432572e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2120 0.9 2.834560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2121 0.9 1.282740e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2122 0.9 2.835331e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2123 0.9 3.344689e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2124 0.9 2.781865e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2125 0.9 4.515577e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2126 0.9 2.780539e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2127 0.9 1.478349e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2128 0.9 2.830295e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2129 0.9 1.614181e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2130 0.9 2.859430e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2131 0.9 5.434682e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2132 0.9 2.829197e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2133 0.9 2.363676e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2134 0.9 2.988255e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2135 0.9 4.413886e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2136 0.9 2.857081e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2137 0.9 4.304807e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2138 0.9 5.590722e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2139 0.9 1.502185e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2140 0.9 2.793043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2141 0.9 3.985862e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2142 0.9 2.918767e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2143 0.9 2.902134e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2144 0.9 2.953414e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2145 0.9 1.243914e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2146 0.9 2.825733e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2147 0.9 4.696060e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2148 0.9 2.822273e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2149 0.9 4.419740e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2150 0.9 2.826240e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2151 0.9 2.076516e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2152 0.9 3.173264e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2153 0.9 1.469811e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2154 0.9 1.255984e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2155 0.9 6.314879e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2156 0.9 2.817898e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2157 0.9 3.785777e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2158 0.9 2.804396e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2159 0.9 1.322622e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2160 0.9 2.796454e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2161 0.9 4.848863e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2162 0.9 2.834583e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2163 0.9 3.452839e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2164 0.9 2.814320e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2165 0.9 3.313502e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2166 0.9 2.802324e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2167 0.9 5.309235e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2168 0.9 2.907971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2169 0.9 1.556106e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2170 0.9 5.732186e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2171 0.9 1.071135e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2172 0.9 2.809819e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2173 0.9 4.977402e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2174 0.9 2.817941e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2175 0.9 4.430472e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2176 0.9 2.828139e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2177 0.9 9.326869e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2178 0.9 6.320526e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2179 0.9 2.152713e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2180 0.9 3.133062e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2181 0.9 5.054128e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2182 0.9 2.801104e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2183 0.9 3.458499e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2184 0.9 2.834420e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2185 0.9 2.385035e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2186 0.9 3.039465e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2187 0.9 3.012809e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2188 0.9 2.812000e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2189 0.9 4.860718e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2190 0.9 2.832361e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2191 0.9 5.426086e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2192 0.9 2.799764e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2193 0.9 2.023764e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2194 0.9 2.798678e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2195 0.9 4.011116e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2196 0.9 2.830201e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2197 0.9 1.261275e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2198 0.9 2.972209e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2199 0.9 3.894250e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2200 0.9 2.912878e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2201 0.9 4.524046e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2202 0.9 2.818384e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2203 0.9 2.768933e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2204 0.9 2.917679e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2205 0.9 3.880234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2206 0.9 2.840975e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2207 0.9 8.274833e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2208 0.9 2.958097e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2209 0.9 1.950969e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2210 0.9 3.129036e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2211 0.9 5.750228e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2212 0.9 2.827103e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2213 0.9 2.072445e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2214 0.9 5.483881e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2215 0.9 1.120562e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2216 0.9 2.799297e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2217 0.9 2.072887e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2218 0.9 3.055400e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2219 0.9 3.369722e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2220 0.9 2.831984e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2221 0.9 4.305610e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2222 0.9 2.868072e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2223 0.9 2.295914e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2224 0.9 2.866334e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2225 0.9 1.814442e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2226 0.9 2.806913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2227 0.9 2.603051e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2228 0.9 3.032053e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2229 0.9 1.557436e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2230 0.9 3.152179e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2231 0.9 3.391679e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2232 0.9 2.966176e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2233 0.9 3.673150e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2234 0.9 2.779463e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2235 0.9 4.393825e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2236 0.9 2.799996e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2237 0.9 4.428502e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2238 0.9 2.807639e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2239 0.9 3.905795e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2240 0.9 2.814965e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2241 0.9 2.699491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2242 0.9 2.851175e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2243 0.9 1.403754e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2244 0.9 2.818248e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2245 0.9 2.188940e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2246 0.9 2.817257e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2247 0.9 8.278980e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2248 0.9 2.786502e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2249 0.9 1.401809e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2250 0.9 2.816762e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2251 0.9 4.577880e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2252 0.9 2.961608e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2253 0.9 1.214973e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2254 0.9 2.810229e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2255 0.9 3.242301e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2256 0.9 4.941662e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2257 0.9 4.109016e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2258 0.9 2.860960e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2259 0.9 4.635847e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2260 0.9 2.995802e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2261 0.9 3.770448e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2262 0.9 7.495916e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2263 0.9 1.507574e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2264 0.9 2.804491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2265 0.9 1.556510e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2266 0.9 4.805302e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2267 0.9 2.087533e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2268 0.9 2.913366e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2269 0.9 4.959989e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2270 0.9 2.779410e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2271 0.9 1.204406e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2272 0.9 3.029663e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2273 0.9 1.789556e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2274 0.9 2.867181e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2275 0.9 8.791473e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2276 0.9 2.831538e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2277 0.9 4.625022e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2278 0.9 2.814257e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2279 0.9 3.772261e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2280 0.9 2.842354e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2281 0.9 4.806327e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2282 0.9 2.845597e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2283 0.9 4.927236e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2284 0.9 2.858007e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2285 0.9 4.027739e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2286 0.9 2.852811e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2287 0.9 6.758854e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2288 0.9 3.071840e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2289 0.9 3.480273e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2290 0.9 3.124404e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2291 0.9 4.726841e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2292 0.9 2.799762e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2293 0.9 2.675124e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2294 0.9 2.944097e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2295 0.9 1.973616e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2296 0.9 2.806991e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2297 0.9 4.611287e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2298 0.9 2.838903e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2299 0.9 4.578717e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2300 0.9 2.809815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2301 0.9 1.188231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2302 0.9 2.844302e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2303 0.9 3.643917e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2304 0.9 3.232970e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2305 0.9 4.319562e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2306 0.9 3.099956e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2307 0.9 4.736218e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2308 0.9 4.568099e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2309 0.9 3.438426e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2310 0.9 2.818675e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2311 0.9 1.549469e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2312 0.9 2.800698e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2313 0.9 3.019371e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2314 0.9 2.792614e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2315 0.9 4.914172e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2316 0.9 2.879428e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2317 0.9 9.336487e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2318 0.9 2.888290e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2319 0.9 4.304269e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2320 0.9 2.980192e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2321 0.9 1.267815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2322 0.9 2.865353e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2323 0.9 8.440361e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2324 0.9 2.824624e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2325 0.9 2.232618e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2326 0.9 3.242925e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2327 0.9 3.196701e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2328 0.9 2.796585e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2329 0.9 3.380287e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2330 0.9 2.949291e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2331 0.9 3.413740e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2332 0.9 2.782228e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2333 0.9 4.543900e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2334 0.9 2.824766e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2335 0.9 4.781836e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2336 0.9 2.981026e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2337 0.9 1.473108e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2338 0.9 2.847384e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2339 0.9 3.661654e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2340 0.9 3.082220e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2341 0.9 4.120590e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2342 0.9 2.987491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2343 0.9 2.733464e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2344 0.9 3.105279e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2345 0.9 2.392297e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2346 0.9 2.831944e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2347 0.9 2.185775e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2348 0.9 2.947079e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2349 0.9 3.028234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2350 0.9 2.861379e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2351 0.9 4.573926e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2352 0.9 2.847775e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2353 0.9 3.843104e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2354 0.9 2.951913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2355 0.9 4.318548e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2356 0.9 3.210629e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2357 0.9 6.901224e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2358 0.9 3.044469e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2359 0.9 4.723028e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2360 0.9 2.902400e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2361 0.9 1.309336e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2362 0.9 2.807436e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2363 0.9 4.871853e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2364 0.9 3.054261e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2365 0.9 2.047827e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2366 0.9 3.142291e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2367 0.9 1.718087e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2368 0.9 2.840123e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2369 0.9 4.146175e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2370 0.9 2.792922e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2371 0.9 3.155373e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2372 0.9 2.818001e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2373 0.9 2.130113e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2374 0.9 2.831207e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2375 0.9 1.166651e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2376 0.9 2.894324e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2377 0.9 5.057939e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2378 0.9 2.867752e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2379 0.9 4.401998e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2380 0.9 3.108428e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2381 0.9 4.047361e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2382 0.9 2.818539e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2383 0.9 2.060615e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2384 0.9 2.805975e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2385 0.9 3.793315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2386 0.9 3.202408e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2387 0.9 2.671995e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2388 0.9 2.927606e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2389 0.9 3.136379e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2390 0.9 2.811126e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2391 0.9 3.009551e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2392 0.9 3.005421e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2393 0.9 3.371792e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2394 0.9 3.043764e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2395 0.9 2.925657e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2396 0.9 2.822446e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2397 0.9 4.393215e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2398 0.9 3.048878e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2399 0.9 1.354415e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2400 0.9 2.871789e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2401 0.9 8.560008e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2402 0.9 2.823183e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2403 0.9 1.944758e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2404 0.9 2.786167e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2405 0.9 3.344847e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2406 0.9 2.854871e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2407 0.9 1.511588e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2408 0.9 2.786438e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2409 0.9 2.869155e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2410 0.9 2.789490e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2411 0.9 7.480465e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2412 0.9 2.795047e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2413 0.9 3.961206e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2414 0.9 3.204208e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2415 0.9 8.563653e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2416 0.9 2.875799e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2417 0.9 3.004675e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2418 0.9 2.923756e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2419 0.9 1.815203e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2420 0.9 2.826864e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2421 0.9 9.444962e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2422 0.9 2.818052e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2423 0.9 2.947194e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2424 0.9 2.842525e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2425 0.9 2.312874e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2426 0.9 4.528803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2427 0.9 1.316912e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2428 0.9 2.823320e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2429 0.9 4.615142e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2430 0.9 2.752298e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2431 0.9 4.966045e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2432 0.9 3.002634e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2433 0.9 1.374345e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2434 0.9 2.802325e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2435 0.9 2.212666e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2436 0.9 2.819420e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2437 0.9 2.515010e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2438 0.9 2.817542e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2439 0.9 7.109792e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2440 0.9 2.823197e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2441 0.9 3.149583e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2442 0.9 2.820155e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2443 0.9 3.057451e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2444 0.9 2.780705e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2445 0.9 2.142794e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2446 0.9 2.819370e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2447 0.9 4.819793e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2448 0.9 2.819213e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2449 0.9 1.831769e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2450 0.9 2.933558e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2451 0.9 4.561231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2452 0.9 2.844905e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2453 0.9 2.047609e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2454 0.9 2.907166e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2455 0.9 1.856775e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2456 0.9 2.784444e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2457 0.9 2.214327e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2458 0.9 2.805628e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2459 0.9 1.156449e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2460 0.9 3.029812e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2461 0.9 2.814927e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2462 0.9 3.217643e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2463 0.9 1.849135e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2464 0.9 3.024110e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2465 0.9 1.123760e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2466 0.9 2.816708e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2467 0.9 1.263687e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2468 0.9 2.834294e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2469 0.9 3.430749e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2470 0.9 3.105285e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2471 0.9 7.859798e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2472 0.9 2.800857e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2473 0.9 4.236049e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2474 0.9 2.881656e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2475 0.9 4.258629e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2476 0.9 2.824258e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2477 0.9 4.799840e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2478 0.9 2.798789e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2479 0.9 3.993417e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2480 0.9 2.828892e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2481 0.9 9.401836e-04 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2482 0.9 3.099076e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2483 0.9 7.788086e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2484 0.9 2.979334e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2485 0.9 6.911005e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2486 0.9 2.805818e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2487 0.9 1.500345e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2488 0.9 2.981962e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2489 0.9 7.783094e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2490 0.9 2.828132e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2491 0.9 4.272697e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2492 0.9 1.278273e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2493 0.9 1.642706e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2494 0.9 2.797272e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2495 0.9 4.278430e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2496 0.9 2.769161e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2497 0.9 2.897943e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2498 0.9 2.781492e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2499 0.9 4.270715e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2500 0.9 2.848600e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2501 0.9 4.107090e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2502 0.9 2.870836e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2503 0.9 1.614621e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2504 0.9 6.712011e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2505 0.9 2.897686e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2506 0.9 2.880616e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2507 0.9 1.434137e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2508 0.9 2.833702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2509 0.9 3.215282e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2510 0.9 2.802011e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2511 0.9 1.617782e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2512 0.9 2.838376e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2513 0.9 3.557081e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2514 0.9 2.937035e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2515 0.9 4.612994e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2516 0.9 2.981152e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2517 0.9 4.918389e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2518 0.9 2.830499e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2519 0.9 2.229336e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2520 0.9 2.864504e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2521 0.9 3.734006e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2522 0.9 3.018299e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2523 0.9 4.817033e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2524 0.9 2.815684e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2525 0.9 1.770057e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2526 0.9 2.824490e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2527 0.9 1.624310e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2528 0.9 3.000500e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2529 0.9 4.919957e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2530 0.9 2.801354e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2531 0.9 3.766793e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2532 0.9 2.874698e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2533 0.9 2.757333e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2534 0.9 2.809761e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2535 0.9 4.082877e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2536 0.9 2.808043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2537 0.9 6.062935e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2538 0.9 2.804779e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2539 0.9 2.410705e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2540 0.9 2.814094e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2541 0.9 4.967301e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2542 0.9 2.869613e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2543 0.9 2.502747e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2544 0.9 2.857481e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2545 0.9 3.673531e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2546 0.9 2.987798e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2547 0.9 1.051471e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2548 0.9 2.844689e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2549 0.9 3.943795e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2550 0.9 2.985788e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2551 0.9 2.529178e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2552 0.9 2.786352e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2553 0.9 3.161625e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2554 0.9 2.858909e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2555 0.9 4.016584e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2556 0.9 2.882111e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2557 0.9 2.936562e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2558 0.9 2.871079e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2559 0.9 1.592514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2560 0.9 2.820417e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2561 0.9 2.930241e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2562 0.9 2.923486e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2563 0.9 4.623292e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2564 0.9 2.977422e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2565 0.9 2.408449e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2566 0.9 2.808667e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2567 0.9 3.329169e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2568 0.9 2.805391e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2569 0.9 2.065055e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2570 0.9 2.958387e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2571 0.9 8.674536e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2572 0.9 4.012721e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2573 0.9 2.677616e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2574 0.9 2.873516e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2575 0.9 2.273934e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2576 0.9 2.789357e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2577 0.9 1.079047e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2578 0.9 2.851049e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2579 0.9 1.117391e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2580 0.9 5.731986e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2581 0.9 4.252221e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2582 0.9 2.801063e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2583 0.9 3.135941e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2584 0.9 2.844801e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2585 0.9 2.353343e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2586 0.9 2.811202e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2587 0.9 2.067931e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2588 0.9 2.837722e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2589 0.9 1.692282e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2590 0.9 2.855566e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2591 0.9 4.212123e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2592 0.9 3.335627e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2593 0.9 4.716156e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2594 0.9 2.810456e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2595 0.9 3.643706e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2596 0.9 3.116881e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2597 0.9 2.940988e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2598 0.9 2.858186e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2599 0.9 3.239610e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2600 0.9 3.151257e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2601 0.9 4.633162e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2602 0.9 2.792330e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2603 0.9 4.223977e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2604 0.9 2.820276e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2605 0.9 2.724966e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2606 0.9 2.824595e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2607 0.9 7.205673e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2608 0.9 2.807529e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2609 0.9 2.350094e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2610 0.9 2.831536e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2611 0.9 1.594750e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2612 0.9 2.827668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2613 0.9 5.431809e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2614 0.9 2.953862e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2615 0.9 1.782129e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2616 0.9 3.088472e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2617 0.9 1.649000e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2618 0.9 3.181355e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2619 0.9 2.748253e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2620 0.9 2.854869e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2621 0.9 4.970597e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2622 0.9 3.118590e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2623 0.9 1.938668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2624 0.9 2.846630e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2625 0.9 3.198640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2626 0.9 2.839973e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2627 0.9 3.264068e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2628 0.9 2.812429e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2629 0.9 3.548326e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2630 0.9 2.814300e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2631 0.9 5.143973e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2632 0.9 2.793020e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2633 0.9 8.469107e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2634 0.9 2.818045e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2635 0.9 3.925815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2636 0.9 2.858784e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2637 0.9 8.372584e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2638 0.9 2.978113e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2639 0.9 8.417392e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2640 0.9 2.848973e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2641 0.9 3.758165e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2642 0.9 2.936206e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2643 0.9 2.898240e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2644 0.9 2.929360e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2645 0.9 2.698442e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2646 0.9 2.956953e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2647 0.9 3.110217e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2648 0.9 3.019735e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2649 0.9 4.861027e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2650 0.9 5.503028e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2651 0.9 3.622021e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2652 0.9 2.847827e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2653 0.9 7.372783e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2654 0.9 2.975905e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2655 0.9 3.147971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2656 0.9 2.837743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2657 0.9 6.178007e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2658 0.9 2.878368e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2659 0.9 1.344454e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2660 0.9 2.836090e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2661 0.9 3.944191e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2662 0.9 2.830813e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2663 0.9 3.473078e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2664 0.9 2.829180e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2665 0.9 1.671588e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2666 0.9 2.788848e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2667 0.9 2.795408e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2668 0.9 2.799419e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2669 0.9 3.368697e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2670 0.9 2.809515e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2671 0.9 3.817714e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2672 0.9 2.813267e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2673 0.9 3.308718e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2674 0.9 2.925083e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2675 0.9 3.247661e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2676 0.9 2.788868e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2677 0.9 2.616227e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2678 0.9 4.713237e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2679 0.9 4.949039e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2680 0.9 2.958823e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2681 0.9 3.875196e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2682 0.9 2.823297e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2683 0.9 3.727311e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2684 0.9 3.129537e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2685 0.9 3.102881e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2686 0.9 3.048597e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2687 0.9 4.313887e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2688 0.9 3.079138e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2689 0.9 1.598436e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2690 0.9 2.950404e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2691 0.9 1.517916e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2692 0.9 2.796787e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2693 0.9 1.360714e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2694 0.9 3.073433e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2695 0.9 4.516198e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2696 0.9 2.824547e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2697 0.9 3.411490e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2698 0.9 2.999246e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2699 0.9 3.163439e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2700 0.9 2.805777e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2701 0.9 2.717030e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2702 0.9 2.940405e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## g_F sigma_epsilon G_w_y_scaling msg iter_num param_index
## 1 0.1162005 109.1121 0.162 start 1 1
## 2 0.1162005 109.1121 0.162 mif1 1 1
## 3 0.1162005 109.1121 0.162 start 2 1
## 4 0.1162005 109.1121 0.162 mif1 2 1
## 5 0.1162005 109.1121 0.162 start 3 1
## 6 0.1162005 109.1121 0.162 mif1 3 1
## 7 0.1162005 109.1121 0.162 start 4 1
## 8 0.1162005 109.1121 0.162 mif1 4 1
## 9 0.1162005 109.1121 0.162 start 5 1
## 10 0.1162005 109.1121 0.162 mif1 5 1
## 11 0.1162005 109.1121 0.162 start 6 1
## 12 0.1162005 109.1121 0.162 mif1 6 1
## 13 0.1162005 109.1121 0.162 start 7 1
## 14 0.1162005 109.1121 0.162 mif1 7 1
## 15 0.1162005 109.1121 0.162 start 8 1
## 16 0.1162005 109.1121 0.162 mif1 8 1
## 17 0.1162005 109.1121 0.162 start 9 1
## 18 0.1162005 109.1121 0.162 mif1 9 1
## 19 0.1162005 109.1121 0.162 start 10 1
## 20 0.1162005 109.1121 0.162 mif1 10 1
## 21 0.1162005 109.1121 0.162 start 11 1
## 22 0.1162005 109.1121 0.162 mif1 11 1
## 23 0.1162005 109.1121 0.162 start 12 1
## 24 0.1162005 109.1121 0.162 mif1 12 1
## 25 0.1162005 109.1121 0.162 start 13 1
## 26 0.1162005 109.1121 0.162 mif1 13 1
## 27 0.1162005 109.1121 0.162 start 14 1
## 28 0.1162005 109.1121 0.162 mif1 14 1
## 29 0.1162005 109.1121 0.162 start 15 1
## 30 0.1162005 109.1121 0.162 mif1 15 1
## 31 0.1162005 109.1121 0.162 start 16 1
## 32 0.1162005 109.1121 0.162 mif1 16 1
## 33 0.1162005 109.1121 0.162 start 17 1
## 34 0.1162005 109.1121 0.162 mif1 17 1
## 35 0.1162005 109.1121 0.162 start 18 1
## 36 0.1162005 109.1121 0.162 mif1 18 1
## 37 0.1162005 109.1121 0.162 start 19 1
## 38 0.1162005 109.1121 0.162 mif1 19 1
## 39 0.1162005 109.1121 0.162 start 20 1
## 40 0.1162005 109.1121 0.162 mif1 20 1
## 41 0.1162005 109.1121 0.162 start 21 1
## 42 0.1162005 109.1121 0.162 mif1 21 1
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## 44 0.1162005 109.1121 0.162 mif1 22 1
## 45 0.1162005 109.1121 0.162 start 23 1
## 46 0.1162005 109.1121 0.162 mif1 23 1
## 47 0.1162005 109.1121 0.162 start 24 1
## 48 0.1162005 109.1121 0.162 mif1 24 1
## 49 0.1162005 109.1121 0.162 start 25 1
## 50 0.1162005 109.1121 0.162 mif1 25 1
## 51 0.1162005 109.1121 0.162 start 26 1
## 52 0.1162005 109.1121 0.162 mif1 26 1
## 53 0.1162005 109.1121 0.162 start 27 1
## 54 0.1162005 109.1121 0.162 mif1 27 1
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## 56 0.1162005 109.1121 0.162 mif1 28 1
## 57 0.1162005 109.1121 0.162 start 29 1
## 58 0.1162005 109.1121 0.162 mif1 29 1
## 59 0.1162005 109.1121 0.162 start 30 1
## 60 0.1162005 109.1121 0.162 mif1 30 1
## 61 0.1162005 109.1121 0.162 start 31 1
## 62 0.1162005 109.1121 0.162 mif1 31 1
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## 64 0.1162005 109.1121 0.162 mif1 32 1
## 65 0.1162005 109.1121 0.162 start 33 1
## 66 0.1162005 109.1121 0.162 mif1 33 1
## 67 0.1162005 109.1121 0.162 start 34 1
## 68 0.1162005 109.1121 0.162 mif1 34 1
## 69 0.1162005 109.1121 0.162 start 35 1
## 70 0.1162005 109.1121 0.162 mif1 35 1
## 71 0.1162005 109.1121 0.162 start 36 1
## 72 0.1162005 109.1121 0.162 mif1 36 1
## 73 0.1162005 109.1121 0.162 start 37 1
## 74 0.1162005 109.1121 0.162 mif1 37 1
## 75 0.1162005 109.1121 0.162 start 38 1
## 76 0.1162005 109.1121 0.162 mif1 38 1
## 77 0.1162005 109.1121 0.162 start 39 1
## 78 0.1162005 109.1121 0.162 mif1 39 1
## 79 0.1162005 109.1121 0.162 start 40 1
## 80 0.1162005 109.1121 0.162 mif1 40 1
## 81 0.1162005 109.1121 0.162 start 41 1
## 82 0.1162005 109.1121 0.162 mif1 41 1
## 83 0.1162005 109.1121 0.162 start 42 1
## 84 0.1162005 109.1121 0.162 mif1 42 1
## 85 0.1162005 109.1121 0.162 start 43 1
## 86 0.1162005 109.1121 0.162 mif1 43 1
## 87 0.1162005 109.1121 0.162 start 44 1
## 88 0.1162005 109.1121 0.162 mif1 44 1
## 89 0.1162005 109.1121 0.162 start 45 1
## 90 0.1162005 109.1121 0.162 mif1 45 1
## 91 0.1162005 109.1121 0.162 start 46 1
## 92 0.1162005 109.1121 0.162 mif1 46 1
## 93 0.1162005 109.1121 0.162 start 47 1
## 94 0.1162005 109.1121 0.162 mif1 47 1
## 95 0.1162005 109.1121 0.162 start 48 1
## 96 0.1162005 109.1121 0.162 mif1 48 1
## 97 0.1162005 109.1121 0.162 start 49 1
## 98 0.1162005 109.1121 0.162 mif1 49 1
## 99 0.1162005 109.1121 0.162 start 50 1
## 100 0.1162005 109.1121 0.162 mif1 50 1
## 101 0.1162005 109.1121 0.162 start 1 2
## 102 0.1162005 109.1121 0.162 mif1 1 2
## 103 0.1162005 109.1121 0.162 start 2 2
## 104 0.1162005 109.1121 0.162 mif1 2 2
## 105 0.1162005 109.1121 0.162 start 3 2
## 106 0.1162005 109.1121 0.162 mif1 3 2
## 107 0.1162005 109.1121 0.162 start 4 2
## 108 0.1162005 109.1121 0.162 mif1 4 2
## 109 0.1162005 109.1121 0.162 start 5 2
## 110 0.1162005 109.1121 0.162 mif1 5 2
## 111 0.1162005 109.1121 0.162 start 6 2
## 112 0.1162005 109.1121 0.162 mif1 6 2
## 113 0.1162005 109.1121 0.162 start 7 2
## 114 0.1162005 109.1121 0.162 mif1 7 2
## 115 0.1162005 109.1121 0.162 start 8 2
## 116 0.1162005 109.1121 0.162 mif1 8 2
## 117 0.1162005 109.1121 0.162 start 9 2
## 118 0.1162005 109.1121 0.162 mif1 9 2
## 119 0.1162005 109.1121 0.162 start 10 2
## 120 0.1162005 109.1121 0.162 mif1 10 2
## 121 0.1162005 109.1121 0.162 start 11 2
## 122 0.1162005 109.1121 0.162 mif1 11 2
## 123 0.1162005 109.1121 0.162 start 12 2
## 124 0.1162005 109.1121 0.162 mif1 12 2
## 125 0.1162005 109.1121 0.162 start 13 2
## 126 0.1162005 109.1121 0.162 mif1 13 2
## 127 0.1162005 109.1121 0.162 start 14 2
## 128 0.1162005 109.1121 0.162 mif1 14 2
## 129 0.1162005 109.1121 0.162 start 15 2
## 130 0.1162005 109.1121 0.162 mif1 15 2
## 131 0.1162005 109.1121 0.162 start 16 2
## 132 0.1162005 109.1121 0.162 mif1 16 2
## 133 0.1162005 109.1121 0.162 start 17 2
## 134 0.1162005 109.1121 0.162 mif1 17 2
## 135 0.1162005 109.1121 0.162 start 18 2
## 136 0.1162005 109.1121 0.162 mif1 18 2
## 137 0.1162005 109.1121 0.162 start 19 2
## 138 0.1162005 109.1121 0.162 mif1 19 2
## 139 0.1162005 109.1121 0.162 start 20 2
## 140 0.1162005 109.1121 0.162 mif1 20 2
## 141 0.1162005 109.1121 0.162 start 21 2
## 142 0.1162005 109.1121 0.162 mif1 21 2
## 143 0.1162005 109.1121 0.162 start 22 2
## 144 0.1162005 109.1121 0.162 mif1 22 2
## 145 0.1162005 109.1121 0.162 start 23 2
## 146 0.1162005 109.1121 0.162 mif1 23 2
## 147 0.1162005 109.1121 0.162 start 24 2
## 148 0.1162005 109.1121 0.162 mif1 24 2
## 149 0.1162005 109.1121 0.162 start 25 2
## 150 0.1162005 109.1121 0.162 mif1 25 2
## 151 0.1162005 109.1121 0.162 start 26 2
## 152 0.1162005 109.1121 0.162 mif1 26 2
## 153 0.1162005 109.1121 0.162 start 27 2
## 154 0.1162005 109.1121 0.162 mif1 27 2
## 155 0.1162005 109.1121 0.162 start 28 2
## 156 0.1162005 109.1121 0.162 mif1 28 2
## 157 0.1162005 109.1121 0.162 start 29 2
## 158 0.1162005 109.1121 0.162 mif1 29 2
## 159 0.1162005 109.1121 0.162 start 30 2
## 160 0.1162005 109.1121 0.162 mif1 30 2
## 161 0.1162005 109.1121 0.162 start 31 2
## 162 0.1162005 109.1121 0.162 mif1 31 2
## 163 0.1162005 109.1121 0.162 start 32 2
## 164 0.1162005 109.1121 0.162 mif1 32 2
## 165 0.1162005 109.1121 0.162 start 33 2
## 166 0.1162005 109.1121 0.162 mif1 33 2
## 167 0.1162005 109.1121 0.162 start 34 2
## 168 0.1162005 109.1121 0.162 mif1 34 2
## 169 0.1162005 109.1121 0.162 start 35 2
## 170 0.1162005 109.1121 0.162 mif1 35 2
## 171 0.1162005 109.1121 0.162 start 36 2
## 172 0.1162005 109.1121 0.162 mif1 36 2
## 173 0.1162005 109.1121 0.162 start 37 2
## 174 0.1162005 109.1121 0.162 mif1 37 2
## 175 0.1162005 109.1121 0.162 start 38 2
## 176 0.1162005 109.1121 0.162 mif1 38 2
## 177 0.1162005 109.1121 0.162 start 39 2
## 178 0.1162005 109.1121 0.162 mif1 39 2
## 179 0.1162005 109.1121 0.162 start 40 2
## 180 0.1162005 109.1121 0.162 mif1 40 2
## 181 0.1162005 109.1121 0.162 start 41 2
## 182 0.1162005 109.1121 0.162 mif1 41 2
## 183 0.1162005 109.1121 0.162 start 42 2
## 184 0.1162005 109.1121 0.162 mif1 42 2
## 185 0.1162005 109.1121 0.162 start 43 2
## 186 0.1162005 109.1121 0.162 mif1 43 2
## 187 0.1162005 109.1121 0.162 start 44 2
## 188 0.1162005 109.1121 0.162 mif1 44 2
## 189 0.1162005 109.1121 0.162 start 45 2
## 190 0.1162005 109.1121 0.162 mif1 45 2
## 191 0.1162005 109.1121 0.162 start 46 2
## 192 0.1162005 109.1121 0.162 mif1 46 2
## 193 0.1162005 109.1121 0.162 start 47 2
## 194 0.1162005 109.1121 0.162 mif1 47 2
## 195 0.1162005 109.1121 0.162 start 48 2
## 196 0.1162005 109.1121 0.162 mif1 48 2
## 197 0.1162005 109.1121 0.162 start 49 2
## 198 0.1162005 109.1121 0.162 mif1 49 2
## 199 0.1162005 109.1121 0.162 start 50 2
## 200 0.1162005 109.1121 0.162 mif1 50 2
## 201 0.1162005 109.1121 0.162 start 1 3
## 202 0.1162005 109.1121 0.162 mif1 1 3
## 203 0.1162005 109.1121 0.162 start 2 3
## 204 0.1162005 109.1121 0.162 mif1 2 3
## 205 0.1162005 109.1121 0.162 start 3 3
## 206 0.1162005 109.1121 0.162 mif1 3 3
## 207 0.1162005 109.1121 0.162 start 4 3
## 208 0.1162005 109.1121 0.162 mif1 4 3
## 209 0.1162005 109.1121 0.162 start 5 3
## 210 0.1162005 109.1121 0.162 mif1 5 3
## 211 0.1162005 109.1121 0.162 start 6 3
## 212 0.1162005 109.1121 0.162 mif1 6 3
## 213 0.1162005 109.1121 0.162 start 7 3
## 214 0.1162005 109.1121 0.162 mif1 7 3
## 215 0.1162005 109.1121 0.162 start 8 3
## 216 0.1162005 109.1121 0.162 mif1 8 3
## 217 0.1162005 109.1121 0.162 start 9 3
## 218 0.1162005 109.1121 0.162 mif1 9 3
## 219 0.1162005 109.1121 0.162 start 10 3
## 220 0.1162005 109.1121 0.162 mif1 10 3
## 221 0.1162005 109.1121 0.162 start 11 3
## 222 0.1162005 109.1121 0.162 mif1 11 3
## 223 0.1162005 109.1121 0.162 start 12 3
## 224 0.1162005 109.1121 0.162 mif1 12 3
## 225 0.1162005 109.1121 0.162 start 13 3
## 226 0.1162005 109.1121 0.162 mif1 13 3
## 227 0.1162005 109.1121 0.162 start 14 3
## 228 0.1162005 109.1121 0.162 mif1 14 3
## 229 0.1162005 109.1121 0.162 start 15 3
## 230 0.1162005 109.1121 0.162 mif1 15 3
## 231 0.1162005 109.1121 0.162 start 16 3
## 232 0.1162005 109.1121 0.162 mif1 16 3
## 233 0.1162005 109.1121 0.162 start 17 3
## 234 0.1162005 109.1121 0.162 mif1 17 3
## 235 0.1162005 109.1121 0.162 start 18 3
## 236 0.1162005 109.1121 0.162 mif1 18 3
## 237 0.1162005 109.1121 0.162 start 19 3
## 238 0.1162005 109.1121 0.162 mif1 19 3
## 239 0.1162005 109.1121 0.162 start 20 3
## 240 0.1162005 109.1121 0.162 mif1 20 3
## 241 0.1162005 109.1121 0.162 start 21 3
## 242 0.1162005 109.1121 0.162 mif1 21 3
## 243 0.1162005 109.1121 0.162 start 22 3
## 244 0.1162005 109.1121 0.162 mif1 22 3
## 245 0.1162005 109.1121 0.162 start 23 3
## 246 0.1162005 109.1121 0.162 mif1 23 3
## 247 0.1162005 109.1121 0.162 start 24 3
## 248 0.1162005 109.1121 0.162 mif1 24 3
## 249 0.1162005 109.1121 0.162 start 25 3
## 250 0.1162005 109.1121 0.162 mif1 25 3
## 251 0.1162005 109.1121 0.162 start 26 3
## 252 0.1162005 109.1121 0.162 mif1 26 3
## 253 0.1162005 109.1121 0.162 start 27 3
## 254 0.1162005 109.1121 0.162 mif1 27 3
## 255 0.1162005 109.1121 0.162 start 28 3
## 256 0.1162005 109.1121 0.162 mif1 28 3
## 257 0.1162005 109.1121 0.162 start 29 3
## 258 0.1162005 109.1121 0.162 mif1 29 3
## 259 0.1162005 109.1121 0.162 start 30 3
## 260 0.1162005 109.1121 0.162 mif1 30 3
## 261 0.1162005 109.1121 0.162 start 31 3
## 262 0.1162005 109.1121 0.162 mif1 31 3
## 263 0.1162005 109.1121 0.162 start 32 3
## 264 0.1162005 109.1121 0.162 mif1 32 3
## 265 0.1162005 109.1121 0.162 start 33 3
## 266 0.1162005 109.1121 0.162 mif1 33 3
## 267 0.1162005 109.1121 0.162 start 34 3
## 268 0.1162005 109.1121 0.162 mif1 34 3
## 269 0.1162005 109.1121 0.162 start 35 3
## 270 0.1162005 109.1121 0.162 mif1 35 3
## 271 0.1162005 109.1121 0.162 start 36 3
## 272 0.1162005 109.1121 0.162 mif1 36 3
## 273 0.1162005 109.1121 0.162 start 37 3
## 274 0.1162005 109.1121 0.162 mif1 37 3
## 275 0.1162005 109.1121 0.162 start 38 3
## 276 0.1162005 109.1121 0.162 mif1 38 3
## 277 0.1162005 109.1121 0.162 start 39 3
## 278 0.1162005 109.1121 0.162 mif1 39 3
## 279 0.1162005 109.1121 0.162 start 40 3
## 280 0.1162005 109.1121 0.162 mif1 40 3
## 281 0.1162005 109.1121 0.162 start 41 3
## 282 0.1162005 109.1121 0.162 mif1 41 3
## 283 0.1162005 109.1121 0.162 start 42 3
## 284 0.1162005 109.1121 0.162 mif1 42 3
## 285 0.1162005 109.1121 0.162 start 43 3
## 286 0.1162005 109.1121 0.162 mif1 43 3
## 287 0.1162005 109.1121 0.162 start 44 3
## 288 0.1162005 109.1121 0.162 mif1 44 3
## 289 0.1162005 109.1121 0.162 start 45 3
## 290 0.1162005 109.1121 0.162 mif1 45 3
## 291 0.1162005 109.1121 0.162 start 46 3
## 292 0.1162005 109.1121 0.162 mif1 46 3
## 293 0.1162005 109.1121 0.162 start 47 3
## 294 0.1162005 109.1121 0.162 mif1 47 3
## 295 0.1162005 109.1121 0.162 start 48 3
## 296 0.1162005 109.1121 0.162 mif1 48 3
## 297 0.1162005 109.1121 0.162 start 49 3
## 298 0.1162005 109.1121 0.162 mif1 49 3
## 299 0.1162005 109.1121 0.162 start 50 3
## 300 0.1162005 109.1121 0.162 mif1 50 3
## 301 0.1162005 109.1121 0.162 start 1 4
## 302 0.1162005 109.1121 0.162 mif1 1 4
## 303 0.1162005 109.1121 0.162 start 2 4
## 304 0.1162005 109.1121 0.162 mif1 2 4
## 305 0.1162005 109.1121 0.162 start 3 4
## 306 0.1162005 109.1121 0.162 mif1 3 4
## 307 0.1162005 109.1121 0.162 start 4 4
## 308 0.1162005 109.1121 0.162 mif1 4 4
## 309 0.1162005 109.1121 0.162 start 5 4
## 310 0.1162005 109.1121 0.162 mif1 5 4
## 311 0.1162005 109.1121 0.162 start 6 4
## 312 0.1162005 109.1121 0.162 mif1 6 4
## 313 0.1162005 109.1121 0.162 start 7 4
## 314 0.1162005 109.1121 0.162 mif1 7 4
## 315 0.1162005 109.1121 0.162 start 8 4
## 316 0.1162005 109.1121 0.162 mif1 8 4
## 317 0.1162005 109.1121 0.162 start 9 4
## 318 0.1162005 109.1121 0.162 mif1 9 4
## 319 0.1162005 109.1121 0.162 start 10 4
## 320 0.1162005 109.1121 0.162 mif1 10 4
## 321 0.1162005 109.1121 0.162 start 11 4
## 322 0.1162005 109.1121 0.162 mif1 11 4
## 323 0.1162005 109.1121 0.162 start 12 4
## 324 0.1162005 109.1121 0.162 mif1 12 4
## 325 0.1162005 109.1121 0.162 start 13 4
## 326 0.1162005 109.1121 0.162 mif1 13 4
## 327 0.1162005 109.1121 0.162 start 14 4
## 328 0.1162005 109.1121 0.162 mif1 14 4
## 329 0.1162005 109.1121 0.162 start 15 4
## 330 0.1162005 109.1121 0.162 mif1 15 4
## 331 0.1162005 109.1121 0.162 start 16 4
## 332 0.1162005 109.1121 0.162 mif1 16 4
## 333 0.1162005 109.1121 0.162 start 17 4
## 334 0.1162005 109.1121 0.162 mif1 17 4
## 335 0.1162005 109.1121 0.162 start 18 4
## 336 0.1162005 109.1121 0.162 mif1 18 4
## 337 0.1162005 109.1121 0.162 start 19 4
## 338 0.1162005 109.1121 0.162 mif1 19 4
## 339 0.1162005 109.1121 0.162 start 20 4
## 340 0.1162005 109.1121 0.162 mif1 20 4
## 341 0.1162005 109.1121 0.162 start 21 4
## 342 0.1162005 109.1121 0.162 mif1 21 4
## 343 0.1162005 109.1121 0.162 start 22 4
## 344 0.1162005 109.1121 0.162 mif1 22 4
## 345 0.1162005 109.1121 0.162 start 23 4
## 346 0.1162005 109.1121 0.162 mif1 23 4
## 347 0.1162005 109.1121 0.162 start 24 4
## 348 0.1162005 109.1121 0.162 mif1 24 4
## 349 0.1162005 109.1121 0.162 start 25 4
## 350 0.1162005 109.1121 0.162 mif1 25 4
## 351 0.1162005 109.1121 0.162 start 26 4
## 352 0.1162005 109.1121 0.162 mif1 26 4
## 353 0.1162005 109.1121 0.162 start 27 4
## 354 0.1162005 109.1121 0.162 mif1 27 4
## 355 0.1162005 109.1121 0.162 start 28 4
## 356 0.1162005 109.1121 0.162 mif1 28 4
## 357 0.1162005 109.1121 0.162 start 29 4
## 358 0.1162005 109.1121 0.162 mif1 29 4
## 359 0.1162005 109.1121 0.162 start 30 4
## 360 0.1162005 109.1121 0.162 mif1 30 4
## 361 0.1162005 109.1121 0.162 start 31 4
## 362 0.1162005 109.1121 0.162 mif1 31 4
## 363 0.1162005 109.1121 0.162 start 32 4
## 364 0.1162005 109.1121 0.162 mif1 32 4
## 365 0.1162005 109.1121 0.162 start 33 4
## 366 0.1162005 109.1121 0.162 mif1 33 4
## 367 0.1162005 109.1121 0.162 start 34 4
## 368 0.1162005 109.1121 0.162 mif1 34 4
## 369 0.1162005 109.1121 0.162 start 35 4
## 370 0.1162005 109.1121 0.162 mif1 35 4
## 371 0.1162005 109.1121 0.162 start 36 4
## 372 0.1162005 109.1121 0.162 mif1 36 4
## 373 0.1162005 109.1121 0.162 start 37 4
## 374 0.1162005 109.1121 0.162 mif1 37 4
## 375 0.1162005 109.1121 0.162 start 38 4
## 376 0.1162005 109.1121 0.162 mif1 38 4
## 377 0.1162005 109.1121 0.162 start 39 4
## 378 0.1162005 109.1121 0.162 mif1 39 4
## 379 0.1162005 109.1121 0.162 start 40 4
## 380 0.1162005 109.1121 0.162 mif1 40 4
## 381 0.1162005 109.1121 0.162 start 41 4
## 382 0.1162005 109.1121 0.162 mif1 41 4
## 383 0.1162005 109.1121 0.162 start 42 4
## 384 0.1162005 109.1121 0.162 mif1 42 4
## 385 0.1162005 109.1121 0.162 start 43 4
## 386 0.1162005 109.1121 0.162 mif1 43 4
## 387 0.1162005 109.1121 0.162 start 44 4
## 388 0.1162005 109.1121 0.162 mif1 44 4
## 389 0.1162005 109.1121 0.162 start 45 4
## 390 0.1162005 109.1121 0.162 mif1 45 4
## 391 0.1162005 109.1121 0.162 start 46 4
## 392 0.1162005 109.1121 0.162 mif1 46 4
## 393 0.1162005 109.1121 0.162 start 47 4
## 394 0.1162005 109.1121 0.162 mif1 47 4
## 395 0.1162005 109.1121 0.162 start 48 4
## 396 0.1162005 109.1121 0.162 mif1 48 4
## 397 0.1162005 109.1121 0.162 start 49 4
## 398 0.1162005 109.1121 0.162 mif1 49 4
## 399 0.1162005 109.1121 0.162 start 50 4
## 400 0.1162005 109.1121 0.162 mif1 50 4
## 401 0.1162005 109.1121 0.162 start 1 5
## 402 0.1162005 109.1121 0.162 mif1 1 5
## 403 0.1162005 109.1121 0.162 start 2 5
## 404 0.1162005 109.1121 0.162 mif1 2 5
## 405 0.1162005 109.1121 0.162 start 3 5
## 406 0.1162005 109.1121 0.162 mif1 3 5
## 407 0.1162005 109.1121 0.162 start 4 5
## 408 0.1162005 109.1121 0.162 mif1 4 5
## 409 0.1162005 109.1121 0.162 start 5 5
## 410 0.1162005 109.1121 0.162 mif1 5 5
## 411 0.1162005 109.1121 0.162 start 6 5
## 412 0.1162005 109.1121 0.162 mif1 6 5
## 413 0.1162005 109.1121 0.162 start 7 5
## 414 0.1162005 109.1121 0.162 mif1 7 5
## 415 0.1162005 109.1121 0.162 start 8 5
## 416 0.1162005 109.1121 0.162 mif1 8 5
## 417 0.1162005 109.1121 0.162 start 9 5
## 418 0.1162005 109.1121 0.162 mif1 9 5
## 419 0.1162005 109.1121 0.162 start 10 5
## 420 0.1162005 109.1121 0.162 mif1 10 5
## 421 0.1162005 109.1121 0.162 start 11 5
## 422 0.1162005 109.1121 0.162 mif1 11 5
## 423 0.1162005 109.1121 0.162 start 12 5
## 424 0.1162005 109.1121 0.162 mif1 12 5
## 425 0.1162005 109.1121 0.162 start 13 5
## 426 0.1162005 109.1121 0.162 mif1 13 5
## 427 0.1162005 109.1121 0.162 start 14 5
## 428 0.1162005 109.1121 0.162 mif1 14 5
## 429 0.1162005 109.1121 0.162 start 15 5
## 430 0.1162005 109.1121 0.162 mif1 15 5
## 431 0.1162005 109.1121 0.162 start 16 5
## 432 0.1162005 109.1121 0.162 mif1 16 5
## 433 0.1162005 109.1121 0.162 start 17 5
## 434 0.1162005 109.1121 0.162 mif1 17 5
## 435 0.1162005 109.1121 0.162 start 18 5
## 436 0.1162005 109.1121 0.162 mif1 18 5
## 437 0.1162005 109.1121 0.162 start 19 5
## 438 0.1162005 109.1121 0.162 mif1 19 5
## 439 0.1162005 109.1121 0.162 start 20 5
## 440 0.1162005 109.1121 0.162 mif1 20 5
## 441 0.1162005 109.1121 0.162 start 21 5
## 442 0.1162005 109.1121 0.162 mif1 21 5
## 443 0.1162005 109.1121 0.162 start 22 5
## 444 0.1162005 109.1121 0.162 mif1 22 5
## 445 0.1162005 109.1121 0.162 start 23 5
## 446 0.1162005 109.1121 0.162 mif1 23 5
## 447 0.1162005 109.1121 0.162 start 24 5
## 448 0.1162005 109.1121 0.162 mif1 24 5
## 449 0.1162005 109.1121 0.162 start 25 5
## 450 0.1162005 109.1121 0.162 mif1 25 5
## 451 0.1162005 109.1121 0.162 start 26 5
## 452 0.1162005 109.1121 0.162 mif1 26 5
## 453 0.1162005 109.1121 0.162 start 27 5
## 454 0.1162005 109.1121 0.162 mif1 27 5
## 455 0.1162005 109.1121 0.162 start 28 5
## 456 0.1162005 109.1121 0.162 mif1 28 5
## 457 0.1162005 109.1121 0.162 start 29 5
## 458 0.1162005 109.1121 0.162 mif1 29 5
## 459 0.1162005 109.1121 0.162 start 30 5
## 460 0.1162005 109.1121 0.162 mif1 30 5
## 461 0.1162005 109.1121 0.162 start 31 5
## 462 0.1162005 109.1121 0.162 mif1 31 5
## 463 0.1162005 109.1121 0.162 start 32 5
## 464 0.1162005 109.1121 0.162 mif1 32 5
## 465 0.1162005 109.1121 0.162 start 33 5
## 466 0.1162005 109.1121 0.162 mif1 33 5
## 467 0.1162005 109.1121 0.162 start 34 5
## 468 0.1162005 109.1121 0.162 mif1 34 5
## 469 0.1162005 109.1121 0.162 start 35 5
## 470 0.1162005 109.1121 0.162 mif1 35 5
## 471 0.1162005 109.1121 0.162 start 36 5
## 472 0.1162005 109.1121 0.162 mif1 36 5
## 473 0.1162005 109.1121 0.162 start 37 5
## 474 0.1162005 109.1121 0.162 mif1 37 5
## 475 0.1162005 109.1121 0.162 start 38 5
## 476 0.1162005 109.1121 0.162 mif1 38 5
## 477 0.1162005 109.1121 0.162 start 39 5
## 478 0.1162005 109.1121 0.162 mif1 39 5
## 479 0.1162005 109.1121 0.162 start 40 5
## 480 0.1162005 109.1121 0.162 mif1 40 5
## 481 0.1162005 109.1121 0.162 start 41 5
## 482 0.1162005 109.1121 0.162 mif1 41 5
## 483 0.1162005 109.1121 0.162 start 42 5
## 484 0.1162005 109.1121 0.162 mif1 42 5
## 485 0.1162005 109.1121 0.162 start 43 5
## 486 0.1162005 109.1121 0.162 mif1 43 5
## 487 0.1162005 109.1121 0.162 start 44 5
## 488 0.1162005 109.1121 0.162 mif1 44 5
## 489 0.1162005 109.1121 0.162 start 45 5
## 490 0.1162005 109.1121 0.162 mif1 45 5
## 491 0.1162005 109.1121 0.162 start 46 5
## 492 0.1162005 109.1121 0.162 mif1 46 5
## 493 0.1162005 109.1121 0.162 start 47 5
## 494 0.1162005 109.1121 0.162 mif1 47 5
## 495 0.1162005 109.1121 0.162 start 48 5
## 496 0.1162005 109.1121 0.162 mif1 48 5
## 497 0.1162005 109.1121 0.162 start 49 5
## 498 0.1162005 109.1121 0.162 mif1 49 5
## 499 0.1162005 109.1121 0.162 start 50 5
## 500 0.1162005 109.1121 0.162 mif1 50 5
## 501 0.1162005 109.1121 0.162 start 1 6
## 502 0.1162005 109.1121 0.162 mif1 1 6
## 503 0.1162005 109.1121 0.162 start 2 6
## 504 0.1162005 109.1121 0.162 mif1 2 6
## 505 0.1162005 109.1121 0.162 start 3 6
## 506 0.1162005 109.1121 0.162 mif1 3 6
## 507 0.1162005 109.1121 0.162 start 4 6
## 508 0.1162005 109.1121 0.162 mif1 4 6
## 509 0.1162005 109.1121 0.162 start 5 6
## 510 0.1162005 109.1121 0.162 mif1 5 6
## 511 0.1162005 109.1121 0.162 start 6 6
## 512 0.1162005 109.1121 0.162 mif1 6 6
## 513 0.1162005 109.1121 0.162 start 7 6
## 514 0.1162005 109.1121 0.162 mif1 7 6
## 515 0.1162005 109.1121 0.162 start 8 6
## 516 0.1162005 109.1121 0.162 mif1 8 6
## 517 0.1162005 109.1121 0.162 start 9 6
## 518 0.1162005 109.1121 0.162 mif1 9 6
## 519 0.1162005 109.1121 0.162 start 10 6
## 520 0.1162005 109.1121 0.162 mif1 10 6
## 521 0.1162005 109.1121 0.162 start 11 6
## 522 0.1162005 109.1121 0.162 mif1 11 6
## 523 0.1162005 109.1121 0.162 start 12 6
## 524 0.1162005 109.1121 0.162 mif1 12 6
## 525 0.1162005 109.1121 0.162 start 13 6
## 526 0.1162005 109.1121 0.162 mif1 13 6
## 527 0.1162005 109.1121 0.162 start 14 6
## 528 0.1162005 109.1121 0.162 mif1 14 6
## 529 0.1162005 109.1121 0.162 start 15 6
## 530 0.1162005 109.1121 0.162 mif1 15 6
## 531 0.1162005 109.1121 0.162 start 16 6
## 532 0.1162005 109.1121 0.162 mif1 16 6
## 533 0.1162005 109.1121 0.162 start 17 6
## 534 0.1162005 109.1121 0.162 mif1 17 6
## 535 0.1162005 109.1121 0.162 start 18 6
## 536 0.1162005 109.1121 0.162 mif1 18 6
## 537 0.1162005 109.1121 0.162 start 19 6
## 538 0.1162005 109.1121 0.162 mif1 19 6
## 539 0.1162005 109.1121 0.162 start 20 6
## 540 0.1162005 109.1121 0.162 mif1 20 6
## 541 0.1162005 109.1121 0.162 start 21 6
## 542 0.1162005 109.1121 0.162 mif1 21 6
## 543 0.1162005 109.1121 0.162 start 22 6
## 544 0.1162005 109.1121 0.162 mif1 22 6
## 545 0.1162005 109.1121 0.162 start 23 6
## 546 0.1162005 109.1121 0.162 mif1 23 6
## 547 0.1162005 109.1121 0.162 start 24 6
## 548 0.1162005 109.1121 0.162 mif1 24 6
## 549 0.1162005 109.1121 0.162 start 25 6
## 550 0.1162005 109.1121 0.162 mif1 25 6
## 551 0.1162005 109.1121 0.162 start 26 6
## 552 0.1162005 109.1121 0.162 mif1 26 6
## 553 0.1162005 109.1121 0.162 start 27 6
## 554 0.1162005 109.1121 0.162 mif1 27 6
## 555 0.1162005 109.1121 0.162 start 28 6
## 556 0.1162005 109.1121 0.162 mif1 28 6
## 557 0.1162005 109.1121 0.162 start 29 6
## 558 0.1162005 109.1121 0.162 mif1 29 6
## 559 0.1162005 109.1121 0.162 start 30 6
## 560 0.1162005 109.1121 0.162 mif1 30 6
## 561 0.1162005 109.1121 0.162 start 31 6
## 562 0.1162005 109.1121 0.162 mif1 31 6
## 563 0.1162005 109.1121 0.162 start 32 6
## 564 0.1162005 109.1121 0.162 mif1 32 6
## 565 0.1162005 109.1121 0.162 start 33 6
## 566 0.1162005 109.1121 0.162 mif1 33 6
## 567 0.1162005 109.1121 0.162 start 34 6
## 568 0.1162005 109.1121 0.162 mif1 34 6
## 569 0.1162005 109.1121 0.162 start 35 6
## 570 0.1162005 109.1121 0.162 mif1 35 6
## 571 0.1162005 109.1121 0.162 start 36 6
## 572 0.1162005 109.1121 0.162 mif1 36 6
## 573 0.1162005 109.1121 0.162 start 37 6
## 574 0.1162005 109.1121 0.162 mif1 37 6
## 575 0.1162005 109.1121 0.162 start 38 6
## 576 0.1162005 109.1121 0.162 mif1 38 6
## 577 0.1162005 109.1121 0.162 start 39 6
## 578 0.1162005 109.1121 0.162 mif1 39 6
## 579 0.1162005 109.1121 0.162 start 40 6
## 580 0.1162005 109.1121 0.162 mif1 40 6
## 581 0.1162005 109.1121 0.162 start 41 6
## 582 0.1162005 109.1121 0.162 mif1 41 6
## 583 0.1162005 109.1121 0.162 start 42 6
## 584 0.1162005 109.1121 0.162 mif1 42 6
## 585 0.1162005 109.1121 0.162 start 43 6
## 586 0.1162005 109.1121 0.162 mif1 43 6
## 587 0.1162005 109.1121 0.162 start 44 6
## 588 0.1162005 109.1121 0.162 mif1 44 6
## 589 0.1162005 109.1121 0.162 start 45 6
## 590 0.1162005 109.1121 0.162 mif1 45 6
## 591 0.1162005 109.1121 0.162 start 46 6
## 592 0.1162005 109.1121 0.162 mif1 46 6
## 593 0.1162005 109.1121 0.162 start 47 6
## 594 0.1162005 109.1121 0.162 mif1 47 6
## 595 0.1162005 109.1121 0.162 start 48 6
## 596 0.1162005 109.1121 0.162 mif1 48 6
## 597 0.1162005 109.1121 0.162 start 49 6
## 598 0.1162005 109.1121 0.162 mif1 49 6
## 599 0.1162005 109.1121 0.162 start 50 6
## 600 0.1162005 109.1121 0.162 mif1 50 6
## 601 0.1162005 109.1121 0.162 start 1 7
## 602 0.1162005 109.1121 0.162 mif1 1 7
## 603 0.1162005 109.1121 0.162 start 2 7
## 604 0.1162005 109.1121 0.162 mif1 2 7
## 605 0.1162005 109.1121 0.162 start 3 7
## 606 0.1162005 109.1121 0.162 mif1 3 7
## 607 0.1162005 109.1121 0.162 start 4 7
## 608 0.1162005 109.1121 0.162 mif1 4 7
## 609 0.1162005 109.1121 0.162 start 5 7
## 610 0.1162005 109.1121 0.162 mif1 5 7
## 611 0.1162005 109.1121 0.162 start 6 7
## 612 0.1162005 109.1121 0.162 mif1 6 7
## 613 0.1162005 109.1121 0.162 start 7 7
## 614 0.1162005 109.1121 0.162 mif1 7 7
## 615 0.1162005 109.1121 0.162 start 8 7
## 616 0.1162005 109.1121 0.162 mif1 8 7
## 617 0.1162005 109.1121 0.162 start 9 7
## 618 0.1162005 109.1121 0.162 mif1 9 7
## 619 0.1162005 109.1121 0.162 start 10 7
## 620 0.1162005 109.1121 0.162 mif1 10 7
## 621 0.1162005 109.1121 0.162 start 11 7
## 622 0.1162005 109.1121 0.162 mif1 11 7
## 623 0.1162005 109.1121 0.162 start 12 7
## 624 0.1162005 109.1121 0.162 mif1 12 7
## 625 0.1162005 109.1121 0.162 start 13 7
## 626 0.1162005 109.1121 0.162 mif1 13 7
## 627 0.1162005 109.1121 0.162 start 14 7
## 628 0.1162005 109.1121 0.162 mif1 14 7
## 629 0.1162005 109.1121 0.162 start 15 7
## 630 0.1162005 109.1121 0.162 mif1 15 7
## 631 0.1162005 109.1121 0.162 start 16 7
## 632 0.1162005 109.1121 0.162 mif1 16 7
## 633 0.1162005 109.1121 0.162 start 17 7
## 634 0.1162005 109.1121 0.162 mif1 17 7
## 635 0.1162005 109.1121 0.162 start 18 7
## 636 0.1162005 109.1121 0.162 mif1 18 7
## 637 0.1162005 109.1121 0.162 start 19 7
## 638 0.1162005 109.1121 0.162 mif1 19 7
## 639 0.1162005 109.1121 0.162 start 20 7
## 640 0.1162005 109.1121 0.162 mif1 20 7
## 641 0.1162005 109.1121 0.162 start 21 7
## 642 0.1162005 109.1121 0.162 mif1 21 7
## 643 0.1162005 109.1121 0.162 start 22 7
## 644 0.1162005 109.1121 0.162 mif1 22 7
## 645 0.1162005 109.1121 0.162 start 23 7
## 646 0.1162005 109.1121 0.162 mif1 23 7
## 647 0.1162005 109.1121 0.162 start 24 7
## 648 0.1162005 109.1121 0.162 mif1 24 7
## 649 0.1162005 109.1121 0.162 start 25 7
## 650 0.1162005 109.1121 0.162 mif1 25 7
## 651 0.1162005 109.1121 0.162 start 26 7
## 652 0.1162005 109.1121 0.162 mif1 26 7
## 653 0.1162005 109.1121 0.162 start 27 7
## 654 0.1162005 109.1121 0.162 mif1 27 7
## 655 0.1162005 109.1121 0.162 start 28 7
## 656 0.1162005 109.1121 0.162 mif1 28 7
## 657 0.1162005 109.1121 0.162 start 29 7
## 658 0.1162005 109.1121 0.162 mif1 29 7
## 659 0.1162005 109.1121 0.162 start 30 7
## 660 0.1162005 109.1121 0.162 mif1 30 7
## 661 0.1162005 109.1121 0.162 start 31 7
## 662 0.1162005 109.1121 0.162 mif1 31 7
## 663 0.1162005 109.1121 0.162 start 32 7
## 664 0.1162005 109.1121 0.162 mif1 32 7
## 665 0.1162005 109.1121 0.162 start 33 7
## 666 0.1162005 109.1121 0.162 mif1 33 7
## 667 0.1162005 109.1121 0.162 start 34 7
## 668 0.1162005 109.1121 0.162 mif1 34 7
## 669 0.1162005 109.1121 0.162 start 35 7
## 670 0.1162005 109.1121 0.162 mif1 35 7
## 671 0.1162005 109.1121 0.162 start 36 7
## 672 0.1162005 109.1121 0.162 mif1 36 7
## 673 0.1162005 109.1121 0.162 start 37 7
## 674 0.1162005 109.1121 0.162 mif1 37 7
## 675 0.1162005 109.1121 0.162 start 38 7
## 676 0.1162005 109.1121 0.162 mif1 38 7
## 677 0.1162005 109.1121 0.162 start 39 7
## 678 0.1162005 109.1121 0.162 mif1 39 7
## 679 0.1162005 109.1121 0.162 start 40 7
## 680 0.1162005 109.1121 0.162 mif1 40 7
## 681 0.1162005 109.1121 0.162 start 41 7
## 682 0.1162005 109.1121 0.162 mif1 41 7
## 683 0.1162005 109.1121 0.162 start 42 7
## 684 0.1162005 109.1121 0.162 mif1 42 7
## 685 0.1162005 109.1121 0.162 start 43 7
## 686 0.1162005 109.1121 0.162 mif1 43 7
## 687 0.1162005 109.1121 0.162 start 44 7
## 688 0.1162005 109.1121 0.162 mif1 44 7
## 689 0.1162005 109.1121 0.162 start 45 7
## 690 0.1162005 109.1121 0.162 mif1 45 7
## 691 0.1162005 109.1121 0.162 start 46 7
## 692 0.1162005 109.1121 0.162 mif1 46 7
## 693 0.1162005 109.1121 0.162 start 47 7
## 694 0.1162005 109.1121 0.162 mif1 47 7
## 695 0.1162005 109.1121 0.162 start 48 7
## 696 0.1162005 109.1121 0.162 mif1 48 7
## 697 0.1162005 109.1121 0.162 start 49 7
## 698 0.1162005 109.1121 0.162 mif1 49 7
## 699 0.1162005 109.1121 0.162 start 50 7
## 700 0.1162005 109.1121 0.162 mif1 50 7
## 701 0.1162005 109.1121 0.162 start 1 8
## 702 0.1162005 109.1121 0.162 mif1 1 8
## 703 0.1162005 109.1121 0.162 start 2 8
## 704 0.1162005 109.1121 0.162 mif1 2 8
## 705 0.1162005 109.1121 0.162 start 3 8
## 706 0.1162005 109.1121 0.162 mif1 3 8
## 707 0.1162005 109.1121 0.162 start 4 8
## 708 0.1162005 109.1121 0.162 mif1 4 8
## 709 0.1162005 109.1121 0.162 start 5 8
## 710 0.1162005 109.1121 0.162 mif1 5 8
## 711 0.1162005 109.1121 0.162 start 6 8
## 712 0.1162005 109.1121 0.162 mif1 6 8
## 713 0.1162005 109.1121 0.162 start 7 8
## 714 0.1162005 109.1121 0.162 mif1 7 8
## 715 0.1162005 109.1121 0.162 start 8 8
## 716 0.1162005 109.1121 0.162 mif1 8 8
## 717 0.1162005 109.1121 0.162 start 9 8
## 718 0.1162005 109.1121 0.162 mif1 9 8
## 719 0.1162005 109.1121 0.162 start 10 8
## 720 0.1162005 109.1121 0.162 mif1 10 8
## 721 0.1162005 109.1121 0.162 start 11 8
## 722 0.1162005 109.1121 0.162 mif1 11 8
## 723 0.1162005 109.1121 0.162 start 12 8
## 724 0.1162005 109.1121 0.162 mif1 12 8
## 725 0.1162005 109.1121 0.162 start 13 8
## 726 0.1162005 109.1121 0.162 mif1 13 8
## 727 0.1162005 109.1121 0.162 start 14 8
## 728 0.1162005 109.1121 0.162 mif1 14 8
## 729 0.1162005 109.1121 0.162 start 15 8
## 730 0.1162005 109.1121 0.162 mif1 15 8
## 731 0.1162005 109.1121 0.162 start 16 8
## 732 0.1162005 109.1121 0.162 mif1 16 8
## 733 0.1162005 109.1121 0.162 start 17 8
## 734 0.1162005 109.1121 0.162 mif1 17 8
## 735 0.1162005 109.1121 0.162 start 18 8
## 736 0.1162005 109.1121 0.162 mif1 18 8
## 737 0.1162005 109.1121 0.162 start 19 8
## 738 0.1162005 109.1121 0.162 mif1 19 8
## 739 0.1162005 109.1121 0.162 start 20 8
## 740 0.1162005 109.1121 0.162 mif1 20 8
## 741 0.1162005 109.1121 0.162 start 21 8
## 742 0.1162005 109.1121 0.162 mif1 21 8
## 743 0.1162005 109.1121 0.162 start 22 8
## 744 0.1162005 109.1121 0.162 mif1 22 8
## 745 0.1162005 109.1121 0.162 start 23 8
## 746 0.1162005 109.1121 0.162 mif1 23 8
## 747 0.1162005 109.1121 0.162 start 24 8
## 748 0.1162005 109.1121 0.162 mif1 24 8
## 749 0.1162005 109.1121 0.162 start 25 8
## 750 0.1162005 109.1121 0.162 mif1 25 8
## 751 0.1162005 109.1121 0.162 start 26 8
## 752 0.1162005 109.1121 0.162 mif1 26 8
## 753 0.1162005 109.1121 0.162 start 27 8
## 754 0.1162005 109.1121 0.162 mif1 27 8
## 755 0.1162005 109.1121 0.162 start 28 8
## 756 0.1162005 109.1121 0.162 mif1 28 8
## 757 0.1162005 109.1121 0.162 start 29 8
## 758 0.1162005 109.1121 0.162 mif1 29 8
## 759 0.1162005 109.1121 0.162 start 30 8
## 760 0.1162005 109.1121 0.162 mif1 30 8
## 761 0.1162005 109.1121 0.162 start 31 8
## 762 0.1162005 109.1121 0.162 mif1 31 8
## 763 0.1162005 109.1121 0.162 start 32 8
## 764 0.1162005 109.1121 0.162 mif1 32 8
## 765 0.1162005 109.1121 0.162 start 33 8
## 766 0.1162005 109.1121 0.162 mif1 33 8
## 767 0.1162005 109.1121 0.162 start 34 8
## 768 0.1162005 109.1121 0.162 mif1 34 8
## 769 0.1162005 109.1121 0.162 start 35 8
## 770 0.1162005 109.1121 0.162 mif1 35 8
## 771 0.1162005 109.1121 0.162 start 36 8
## 772 0.1162005 109.1121 0.162 mif1 36 8
## 773 0.1162005 109.1121 0.162 start 37 8
## 774 0.1162005 109.1121 0.162 mif1 37 8
## 775 0.1162005 109.1121 0.162 start 38 8
## 776 0.1162005 109.1121 0.162 mif1 38 8
## 777 0.1162005 109.1121 0.162 start 39 8
## 778 0.1162005 109.1121 0.162 mif1 39 8
## 779 0.1162005 109.1121 0.162 start 40 8
## 780 0.1162005 109.1121 0.162 mif1 40 8
## 781 0.1162005 109.1121 0.162 start 41 8
## 782 0.1162005 109.1121 0.162 mif1 41 8
## 783 0.1162005 109.1121 0.162 start 42 8
## 784 0.1162005 109.1121 0.162 mif1 42 8
## 785 0.1162005 109.1121 0.162 start 43 8
## 786 0.1162005 109.1121 0.162 mif1 43 8
## 787 0.1162005 109.1121 0.162 start 44 8
## 788 0.1162005 109.1121 0.162 mif1 44 8
## 789 0.1162005 109.1121 0.162 start 45 8
## 790 0.1162005 109.1121 0.162 mif1 45 8
## 791 0.1162005 109.1121 0.162 start 46 8
## 792 0.1162005 109.1121 0.162 mif1 46 8
## 793 0.1162005 109.1121 0.162 start 47 8
## 794 0.1162005 109.1121 0.162 mif1 47 8
## 795 0.1162005 109.1121 0.162 start 48 8
## 796 0.1162005 109.1121 0.162 mif1 48 8
## 797 0.1162005 109.1121 0.162 start 49 8
## 798 0.1162005 109.1121 0.162 mif1 49 8
## 799 0.1162005 109.1121 0.162 start 50 8
## 800 0.1162005 109.1121 0.162 mif1 50 8
## 801 0.1162005 109.1121 0.162 start 1 9
## 802 0.1162005 109.1121 0.162 mif1 1 9
## 803 0.1162005 109.1121 0.162 start 2 9
## 804 0.1162005 109.1121 0.162 mif1 2 9
## 805 0.1162005 109.1121 0.162 start 3 9
## 806 0.1162005 109.1121 0.162 mif1 3 9
## 807 0.1162005 109.1121 0.162 start 4 9
## 808 0.1162005 109.1121 0.162 mif1 4 9
## 809 0.1162005 109.1121 0.162 start 5 9
## 810 0.1162005 109.1121 0.162 mif1 5 9
## 811 0.1162005 109.1121 0.162 start 6 9
## 812 0.1162005 109.1121 0.162 mif1 6 9
## 813 0.1162005 109.1121 0.162 start 7 9
## 814 0.1162005 109.1121 0.162 mif1 7 9
## 815 0.1162005 109.1121 0.162 start 8 9
## 816 0.1162005 109.1121 0.162 mif1 8 9
## 817 0.1162005 109.1121 0.162 start 9 9
## 818 0.1162005 109.1121 0.162 mif1 9 9
## 819 0.1162005 109.1121 0.162 start 10 9
## 820 0.1162005 109.1121 0.162 mif1 10 9
## 821 0.1162005 109.1121 0.162 start 11 9
## 822 0.1162005 109.1121 0.162 mif1 11 9
## 823 0.1162005 109.1121 0.162 start 12 9
## 824 0.1162005 109.1121 0.162 mif1 12 9
## 825 0.1162005 109.1121 0.162 start 13 9
## 826 0.1162005 109.1121 0.162 mif1 13 9
## 827 0.1162005 109.1121 0.162 start 14 9
## 828 0.1162005 109.1121 0.162 mif1 14 9
## 829 0.1162005 109.1121 0.162 start 15 9
## 830 0.1162005 109.1121 0.162 mif1 15 9
## 831 0.1162005 109.1121 0.162 start 16 9
## 832 0.1162005 109.1121 0.162 mif1 16 9
## 833 0.1162005 109.1121 0.162 start 17 9
## 834 0.1162005 109.1121 0.162 mif1 17 9
## 835 0.1162005 109.1121 0.162 start 18 9
## 836 0.1162005 109.1121 0.162 mif1 18 9
## 837 0.1162005 109.1121 0.162 start 19 9
## 838 0.1162005 109.1121 0.162 mif1 19 9
## 839 0.1162005 109.1121 0.162 start 20 9
## 840 0.1162005 109.1121 0.162 mif1 20 9
## 841 0.1162005 109.1121 0.162 start 21 9
## 842 0.1162005 109.1121 0.162 mif1 21 9
## 843 0.1162005 109.1121 0.162 start 22 9
## 844 0.1162005 109.1121 0.162 mif1 22 9
## 845 0.1162005 109.1121 0.162 start 23 9
## 846 0.1162005 109.1121 0.162 mif1 23 9
## 847 0.1162005 109.1121 0.162 start 24 9
## 848 0.1162005 109.1121 0.162 mif1 24 9
## 849 0.1162005 109.1121 0.162 start 25 9
## 850 0.1162005 109.1121 0.162 mif1 25 9
## 851 0.1162005 109.1121 0.162 start 26 9
## 852 0.1162005 109.1121 0.162 mif1 26 9
## 853 0.1162005 109.1121 0.162 start 27 9
## 854 0.1162005 109.1121 0.162 mif1 27 9
## 855 0.1162005 109.1121 0.162 start 28 9
## 856 0.1162005 109.1121 0.162 mif1 28 9
## 857 0.1162005 109.1121 0.162 start 29 9
## 858 0.1162005 109.1121 0.162 mif1 29 9
## 859 0.1162005 109.1121 0.162 start 30 9
## 860 0.1162005 109.1121 0.162 mif1 30 9
## 861 0.1162005 109.1121 0.162 start 31 9
## 862 0.1162005 109.1121 0.162 mif1 31 9
## 863 0.1162005 109.1121 0.162 start 32 9
## 864 0.1162005 109.1121 0.162 mif1 32 9
## 865 0.1162005 109.1121 0.162 start 33 9
## 866 0.1162005 109.1121 0.162 mif1 33 9
## 867 0.1162005 109.1121 0.162 start 34 9
## 868 0.1162005 109.1121 0.162 mif1 34 9
## 869 0.1162005 109.1121 0.162 start 35 9
## 870 0.1162005 109.1121 0.162 mif1 35 9
## 871 0.1162005 109.1121 0.162 start 36 9
## 872 0.1162005 109.1121 0.162 mif1 36 9
## 873 0.1162005 109.1121 0.162 start 37 9
## 874 0.1162005 109.1121 0.162 mif1 37 9
## 875 0.1162005 109.1121 0.162 start 38 9
## 876 0.1162005 109.1121 0.162 mif1 38 9
## 877 0.1162005 109.1121 0.162 start 39 9
## 878 0.1162005 109.1121 0.162 mif1 39 9
## 879 0.1162005 109.1121 0.162 start 40 9
## 880 0.1162005 109.1121 0.162 mif1 40 9
## 881 0.1162005 109.1121 0.162 start 41 9
## 882 0.1162005 109.1121 0.162 mif1 41 9
## 883 0.1162005 109.1121 0.162 start 42 9
## 884 0.1162005 109.1121 0.162 mif1 42 9
## 885 0.1162005 109.1121 0.162 start 43 9
## 886 0.1162005 109.1121 0.162 mif1 43 9
## 887 0.1162005 109.1121 0.162 start 44 9
## 888 0.1162005 109.1121 0.162 mif1 44 9
## 889 0.1162005 109.1121 0.162 start 45 9
## 890 0.1162005 109.1121 0.162 mif1 45 9
## 891 0.1162005 109.1121 0.162 start 46 9
## 892 0.1162005 109.1121 0.162 mif1 46 9
## 893 0.1162005 109.1121 0.162 start 47 9
## 894 0.1162005 109.1121 0.162 mif1 47 9
## 895 0.1162005 109.1121 0.162 start 48 9
## 896 0.1162005 109.1121 0.162 mif1 48 9
## 897 0.1162005 109.1121 0.162 start 49 9
## 898 0.1162005 109.1121 0.162 mif1 49 9
## 899 0.1162005 109.1121 0.162 start 50 9
## 900 0.1162005 109.1121 0.162 mif1 50 9
## 901 0.1162005 109.1121 0.162 start 1 10
## 902 0.1162005 109.1121 0.162 mif1 1 10
## 903 0.1162005 109.1121 0.162 start 2 10
## 904 0.1162005 109.1121 0.162 mif1 2 10
## 905 0.1162005 109.1121 0.162 start 3 10
## 906 0.1162005 109.1121 0.162 mif1 3 10
## 907 0.1162005 109.1121 0.162 start 4 10
## 908 0.1162005 109.1121 0.162 mif1 4 10
## 909 0.1162005 109.1121 0.162 start 5 10
## 910 0.1162005 109.1121 0.162 mif1 5 10
## 911 0.1162005 109.1121 0.162 start 6 10
## 912 0.1162005 109.1121 0.162 mif1 6 10
## 913 0.1162005 109.1121 0.162 start 7 10
## 914 0.1162005 109.1121 0.162 mif1 7 10
## 915 0.1162005 109.1121 0.162 start 8 10
## 916 0.1162005 109.1121 0.162 mif1 8 10
## 917 0.1162005 109.1121 0.162 start 9 10
## 918 0.1162005 109.1121 0.162 mif1 9 10
## 919 0.1162005 109.1121 0.162 start 10 10
## 920 0.1162005 109.1121 0.162 mif1 10 10
## 921 0.1162005 109.1121 0.162 start 11 10
## 922 0.1162005 109.1121 0.162 mif1 11 10
## 923 0.1162005 109.1121 0.162 start 12 10
## 924 0.1162005 109.1121 0.162 mif1 12 10
## 925 0.1162005 109.1121 0.162 start 13 10
## 926 0.1162005 109.1121 0.162 mif1 13 10
## 927 0.1162005 109.1121 0.162 start 14 10
## 928 0.1162005 109.1121 0.162 mif1 14 10
## 929 0.1162005 109.1121 0.162 start 15 10
## 930 0.1162005 109.1121 0.162 mif1 15 10
## 931 0.1162005 109.1121 0.162 start 16 10
## 932 0.1162005 109.1121 0.162 mif1 16 10
## 933 0.1162005 109.1121 0.162 start 17 10
## 934 0.1162005 109.1121 0.162 mif1 17 10
## 935 0.1162005 109.1121 0.162 start 18 10
## 936 0.1162005 109.1121 0.162 mif1 18 10
## 937 0.1162005 109.1121 0.162 start 19 10
## 938 0.1162005 109.1121 0.162 mif1 19 10
## 939 0.1162005 109.1121 0.162 start 20 10
## 940 0.1162005 109.1121 0.162 mif1 20 10
## 941 0.1162005 109.1121 0.162 start 21 10
## 942 0.1162005 109.1121 0.162 mif1 21 10
## 943 0.1162005 109.1121 0.162 start 22 10
## 944 0.1162005 109.1121 0.162 mif1 22 10
## 945 0.1162005 109.1121 0.162 start 23 10
## 946 0.1162005 109.1121 0.162 mif1 23 10
## 947 0.1162005 109.1121 0.162 start 24 10
## 948 0.1162005 109.1121 0.162 mif1 24 10
## 949 0.1162005 109.1121 0.162 start 25 10
## 950 0.1162005 109.1121 0.162 mif1 25 10
## 951 0.1162005 109.1121 0.162 start 26 10
## 952 0.1162005 109.1121 0.162 mif1 26 10
## 953 0.1162005 109.1121 0.162 start 27 10
## 954 0.1162005 109.1121 0.162 mif1 27 10
## 955 0.1162005 109.1121 0.162 start 28 10
## 956 0.1162005 109.1121 0.162 mif1 28 10
## 957 0.1162005 109.1121 0.162 start 29 10
## 958 0.1162005 109.1121 0.162 mif1 29 10
## 959 0.1162005 109.1121 0.162 start 30 10
## 960 0.1162005 109.1121 0.162 mif1 30 10
## 961 0.1162005 109.1121 0.162 start 31 10
## 962 0.1162005 109.1121 0.162 mif1 31 10
## 963 0.1162005 109.1121 0.162 start 32 10
## 964 0.1162005 109.1121 0.162 mif1 32 10
## 965 0.1162005 109.1121 0.162 start 33 10
## 966 0.1162005 109.1121 0.162 mif1 33 10
## 967 0.1162005 109.1121 0.162 start 34 10
## 968 0.1162005 109.1121 0.162 mif1 34 10
## 969 0.1162005 109.1121 0.162 start 35 10
## 970 0.1162005 109.1121 0.162 mif1 35 10
## 971 0.1162005 109.1121 0.162 start 36 10
## 972 0.1162005 109.1121 0.162 mif1 36 10
## 973 0.1162005 109.1121 0.162 start 37 10
## 974 0.1162005 109.1121 0.162 mif1 37 10
## 975 0.1162005 109.1121 0.162 start 38 10
## 976 0.1162005 109.1121 0.162 mif1 38 10
## 977 0.1162005 109.1121 0.162 start 39 10
## 978 0.1162005 109.1121 0.162 mif1 39 10
## 979 0.1162005 109.1121 0.162 start 40 10
## 980 0.1162005 109.1121 0.162 mif1 40 10
## 981 0.1162005 109.1121 0.162 start 41 10
## 982 0.1162005 109.1121 0.162 mif1 41 10
## 983 0.1162005 109.1121 0.162 start 42 10
## 984 0.1162005 109.1121 0.162 mif1 42 10
## 985 0.1162005 109.1121 0.162 start 43 10
## 986 0.1162005 109.1121 0.162 mif1 43 10
## 987 0.1162005 109.1121 0.162 start 44 10
## 988 0.1162005 109.1121 0.162 mif1 44 10
## 989 0.1162005 109.1121 0.162 start 45 10
## 990 0.1162005 109.1121 0.162 mif1 45 10
## 991 0.1162005 109.1121 0.162 start 46 10
## 992 0.1162005 109.1121 0.162 mif1 46 10
## 993 0.1162005 109.1121 0.162 start 47 10
## 994 0.1162005 109.1121 0.162 mif1 47 10
## 995 0.1162005 109.1121 0.162 start 48 10
## 996 0.1162005 109.1121 0.162 mif1 48 10
## 997 0.1162005 109.1121 0.162 start 49 10
## 998 0.1162005 109.1121 0.162 mif1 49 10
## 999 0.1162005 109.1121 0.162 start 50 10
## 1000 0.1162005 109.1121 0.162 mif1 50 10
## 1001 0.1162005 109.1121 0.162 start 1 11
## 1002 0.1162005 109.1121 0.162 mif1 1 11
## 1003 0.1162005 109.1121 0.162 start 2 11
## 1004 0.1162005 109.1121 0.162 mif1 2 11
## 1005 0.1162005 109.1121 0.162 start 3 11
## 1006 0.1162005 109.1121 0.162 mif1 3 11
## 1007 0.1162005 109.1121 0.162 start 4 11
## 1008 0.1162005 109.1121 0.162 mif1 4 11
## 1009 0.1162005 109.1121 0.162 start 5 11
## 1010 0.1162005 109.1121 0.162 mif1 5 11
## 1011 0.1162005 109.1121 0.162 start 6 11
## 1012 0.1162005 109.1121 0.162 mif1 6 11
## 1013 0.1162005 109.1121 0.162 start 7 11
## 1014 0.1162005 109.1121 0.162 mif1 7 11
## 1015 0.1162005 109.1121 0.162 start 8 11
## 1016 0.1162005 109.1121 0.162 mif1 8 11
## 1017 0.1162005 109.1121 0.162 start 9 11
## 1018 0.1162005 109.1121 0.162 mif1 9 11
## 1019 0.1162005 109.1121 0.162 start 10 11
## 1020 0.1162005 109.1121 0.162 mif1 10 11
## 1021 0.1162005 109.1121 0.162 start 11 11
## 1022 0.1162005 109.1121 0.162 mif1 11 11
## 1023 0.1162005 109.1121 0.162 start 12 11
## 1024 0.1162005 109.1121 0.162 mif1 12 11
## 1025 0.1162005 109.1121 0.162 start 13 11
## 1026 0.1162005 109.1121 0.162 mif1 13 11
## 1027 0.1162005 109.1121 0.162 start 14 11
## 1028 0.1162005 109.1121 0.162 mif1 14 11
## 1029 0.1162005 109.1121 0.162 start 15 11
## 1030 0.1162005 109.1121 0.162 mif1 15 11
## 1031 0.1162005 109.1121 0.162 start 16 11
## 1032 0.1162005 109.1121 0.162 mif1 16 11
## 1033 0.1162005 109.1121 0.162 start 17 11
## 1034 0.1162005 109.1121 0.162 mif1 17 11
## 1035 0.1162005 109.1121 0.162 start 18 11
## 1036 0.1162005 109.1121 0.162 mif1 18 11
## 1037 0.1162005 109.1121 0.162 start 19 11
## 1038 0.1162005 109.1121 0.162 mif1 19 11
## 1039 0.1162005 109.1121 0.162 start 20 11
## 1040 0.1162005 109.1121 0.162 mif1 20 11
## 1041 0.1162005 109.1121 0.162 start 21 11
## 1042 0.1162005 109.1121 0.162 mif1 21 11
## 1043 0.1162005 109.1121 0.162 start 22 11
## 1044 0.1162005 109.1121 0.162 mif1 22 11
## 1045 0.1162005 109.1121 0.162 start 23 11
## 1046 0.1162005 109.1121 0.162 mif1 23 11
## 1047 0.1162005 109.1121 0.162 start 24 11
## 1048 0.1162005 109.1121 0.162 mif1 24 11
## 1049 0.1162005 109.1121 0.162 start 25 11
## 1050 0.1162005 109.1121 0.162 mif1 25 11
## 1051 0.1162005 109.1121 0.162 start 26 11
## 1052 0.1162005 109.1121 0.162 mif1 26 11
## 1053 0.1162005 109.1121 0.162 start 27 11
## 1054 0.1162005 109.1121 0.162 mif1 27 11
## 1055 0.1162005 109.1121 0.162 start 28 11
## 1056 0.1162005 109.1121 0.162 mif1 28 11
## 1057 0.1162005 109.1121 0.162 start 29 11
## 1058 0.1162005 109.1121 0.162 mif1 29 11
## 1059 0.1162005 109.1121 0.162 start 30 11
## 1060 0.1162005 109.1121 0.162 mif1 30 11
## 1061 0.1162005 109.1121 0.162 start 31 11
## 1062 0.1162005 109.1121 0.162 mif1 31 11
## 1063 0.1162005 109.1121 0.162 start 32 11
## 1064 0.1162005 109.1121 0.162 mif1 32 11
## 1065 0.1162005 109.1121 0.162 start 33 11
## 1066 0.1162005 109.1121 0.162 mif1 33 11
## 1067 0.1162005 109.1121 0.162 start 34 11
## 1068 0.1162005 109.1121 0.162 mif1 34 11
## 1069 0.1162005 109.1121 0.162 start 35 11
## 1070 0.1162005 109.1121 0.162 mif1 35 11
## 1071 0.1162005 109.1121 0.162 start 36 11
## 1072 0.1162005 109.1121 0.162 mif1 36 11
## 1073 0.1162005 109.1121 0.162 start 37 11
## 1074 0.1162005 109.1121 0.162 mif1 37 11
## 1075 0.1162005 109.1121 0.162 start 38 11
## 1076 0.1162005 109.1121 0.162 mif1 38 11
## 1077 0.1162005 109.1121 0.162 start 39 11
## 1078 0.1162005 109.1121 0.162 mif1 39 11
## 1079 0.1162005 109.1121 0.162 start 40 11
## 1080 0.1162005 109.1121 0.162 mif1 40 11
## 1081 0.1162005 109.1121 0.162 start 41 11
## 1082 0.1162005 109.1121 0.162 mif1 41 11
## 1083 0.1162005 109.1121 0.162 start 42 11
## 1084 0.1162005 109.1121 0.162 mif1 42 11
## 1085 0.1162005 109.1121 0.162 start 43 11
## 1086 0.1162005 109.1121 0.162 mif1 43 11
## 1087 0.1162005 109.1121 0.162 start 44 11
## 1088 0.1162005 109.1121 0.162 mif1 44 11
## 1089 0.1162005 109.1121 0.162 start 45 11
## 1090 0.1162005 109.1121 0.162 mif1 45 11
## 1091 0.1162005 109.1121 0.162 start 46 11
## 1092 0.1162005 109.1121 0.162 mif1 46 11
## 1093 0.1162005 109.1121 0.162 start 47 11
## 1094 0.1162005 109.1121 0.162 mif1 47 11
## 1095 0.1162005 109.1121 0.162 start 48 11
## 1096 0.1162005 109.1121 0.162 mif1 48 11
## 1097 0.1162005 109.1121 0.162 start 49 11
## 1098 0.1162005 109.1121 0.162 mif1 49 11
## 1099 0.1162005 109.1121 0.162 start 50 11
## 1100 0.1162005 109.1121 0.162 mif1 50 11
## 1101 0.1162005 109.1121 0.162 start 1 12
## 1102 0.1162005 109.1121 0.162 mif1 1 12
## 1103 0.1162005 109.1121 0.162 start 2 12
## 1104 0.1162005 109.1121 0.162 mif1 2 12
## 1105 0.1162005 109.1121 0.162 start 3 12
## 1106 0.1162005 109.1121 0.162 mif1 3 12
## 1107 0.1162005 109.1121 0.162 start 4 12
## 1108 0.1162005 109.1121 0.162 mif1 4 12
## 1109 0.1162005 109.1121 0.162 start 5 12
## 1110 0.1162005 109.1121 0.162 mif1 5 12
## 1111 0.1162005 109.1121 0.162 start 6 12
## 1112 0.1162005 109.1121 0.162 mif1 6 12
## 1113 0.1162005 109.1121 0.162 start 7 12
## 1114 0.1162005 109.1121 0.162 mif1 7 12
## 1115 0.1162005 109.1121 0.162 start 8 12
## 1116 0.1162005 109.1121 0.162 mif1 8 12
## 1117 0.1162005 109.1121 0.162 start 9 12
## 1118 0.1162005 109.1121 0.162 mif1 9 12
## 1119 0.1162005 109.1121 0.162 start 10 12
## 1120 0.1162005 109.1121 0.162 mif1 10 12
## 1121 0.1162005 109.1121 0.162 start 11 12
## 1122 0.1162005 109.1121 0.162 mif1 11 12
## 1123 0.1162005 109.1121 0.162 start 12 12
## 1124 0.1162005 109.1121 0.162 mif1 12 12
## 1125 0.1162005 109.1121 0.162 start 13 12
## 1126 0.1162005 109.1121 0.162 mif1 13 12
## 1127 0.1162005 109.1121 0.162 start 14 12
## 1128 0.1162005 109.1121 0.162 mif1 14 12
## 1129 0.1162005 109.1121 0.162 start 15 12
## 1130 0.1162005 109.1121 0.162 mif1 15 12
## 1131 0.1162005 109.1121 0.162 start 16 12
## 1132 0.1162005 109.1121 0.162 mif1 16 12
## 1133 0.1162005 109.1121 0.162 start 17 12
## 1134 0.1162005 109.1121 0.162 mif1 17 12
## 1135 0.1162005 109.1121 0.162 start 18 12
## 1136 0.1162005 109.1121 0.162 mif1 18 12
## 1137 0.1162005 109.1121 0.162 start 19 12
## 1138 0.1162005 109.1121 0.162 mif1 19 12
## 1139 0.1162005 109.1121 0.162 start 20 12
## 1140 0.1162005 109.1121 0.162 mif1 20 12
## 1141 0.1162005 109.1121 0.162 start 21 12
## 1142 0.1162005 109.1121 0.162 mif1 21 12
## 1143 0.1162005 109.1121 0.162 start 22 12
## 1144 0.1162005 109.1121 0.162 mif1 22 12
## 1145 0.1162005 109.1121 0.162 start 23 12
## 1146 0.1162005 109.1121 0.162 mif1 23 12
## 1147 0.1162005 109.1121 0.162 start 24 12
## 1148 0.1162005 109.1121 0.162 mif1 24 12
## 1149 0.1162005 109.1121 0.162 start 25 12
## 1150 0.1162005 109.1121 0.162 mif1 25 12
## 1151 0.1162005 109.1121 0.162 start 26 12
## 1152 0.1162005 109.1121 0.162 mif1 26 12
## 1153 0.1162005 109.1121 0.162 start 27 12
## 1154 0.1162005 109.1121 0.162 mif1 27 12
## 1155 0.1162005 109.1121 0.162 start 28 12
## 1156 0.1162005 109.1121 0.162 mif1 28 12
## 1157 0.1162005 109.1121 0.162 start 29 12
## 1158 0.1162005 109.1121 0.162 mif1 29 12
## 1159 0.1162005 109.1121 0.162 start 30 12
## 1160 0.1162005 109.1121 0.162 mif1 30 12
## 1161 0.1162005 109.1121 0.162 start 31 12
## 1162 0.1162005 109.1121 0.162 mif1 31 12
## 1163 0.1162005 109.1121 0.162 start 32 12
## 1164 0.1162005 109.1121 0.162 mif1 32 12
## 1165 0.1162005 109.1121 0.162 start 33 12
## 1166 0.1162005 109.1121 0.162 mif1 33 12
## 1167 0.1162005 109.1121 0.162 start 34 12
## 1168 0.1162005 109.1121 0.162 mif1 34 12
## 1169 0.1162005 109.1121 0.162 start 35 12
## 1170 0.1162005 109.1121 0.162 mif1 35 12
## 1171 0.1162005 109.1121 0.162 start 36 12
## 1172 0.1162005 109.1121 0.162 mif1 36 12
## 1173 0.1162005 109.1121 0.162 start 37 12
## 1174 0.1162005 109.1121 0.162 mif1 37 12
## 1175 0.1162005 109.1121 0.162 start 38 12
## 1176 0.1162005 109.1121 0.162 mif1 38 12
## 1177 0.1162005 109.1121 0.162 start 39 12
## 1178 0.1162005 109.1121 0.162 mif1 39 12
## 1179 0.1162005 109.1121 0.162 start 40 12
## 1180 0.1162005 109.1121 0.162 mif1 40 12
## 1181 0.1162005 109.1121 0.162 start 41 12
## 1182 0.1162005 109.1121 0.162 mif1 41 12
## 1183 0.1162005 109.1121 0.162 start 42 12
## 1184 0.1162005 109.1121 0.162 mif1 42 12
## 1185 0.1162005 109.1121 0.162 start 43 12
## 1186 0.1162005 109.1121 0.162 mif1 43 12
## 1187 0.1162005 109.1121 0.162 start 44 12
## 1188 0.1162005 109.1121 0.162 mif1 44 12
## 1189 0.1162005 109.1121 0.162 start 45 12
## 1190 0.1162005 109.1121 0.162 mif1 45 12
## 1191 0.1162005 109.1121 0.162 start 46 12
## 1192 0.1162005 109.1121 0.162 mif1 46 12
## 1193 0.1162005 109.1121 0.162 start 47 12
## 1194 0.1162005 109.1121 0.162 mif1 47 12
## 1195 0.1162005 109.1121 0.162 start 48 12
## 1196 0.1162005 109.1121 0.162 mif1 48 12
## 1197 0.1162005 109.1121 0.162 start 49 12
## 1198 0.1162005 109.1121 0.162 mif1 49 12
## 1199 0.1162005 109.1121 0.162 start 50 12
## 1200 0.1162005 109.1121 0.162 mif1 50 12
## 1201 0.1162005 109.1121 0.162 start 1 13
## 1202 0.1162005 109.1121 0.162 mif1 1 13
## 1203 0.1162005 109.1121 0.162 start 2 13
## 1204 0.1162005 109.1121 0.162 mif1 2 13
## 1205 0.1162005 109.1121 0.162 start 3 13
## 1206 0.1162005 109.1121 0.162 mif1 3 13
## 1207 0.1162005 109.1121 0.162 start 4 13
## 1208 0.1162005 109.1121 0.162 mif1 4 13
## 1209 0.1162005 109.1121 0.162 start 5 13
## 1210 0.1162005 109.1121 0.162 mif1 5 13
## 1211 0.1162005 109.1121 0.162 start 6 13
## 1212 0.1162005 109.1121 0.162 mif1 6 13
## 1213 0.1162005 109.1121 0.162 start 7 13
## 1214 0.1162005 109.1121 0.162 mif1 7 13
## 1215 0.1162005 109.1121 0.162 start 8 13
## 1216 0.1162005 109.1121 0.162 mif1 8 13
## 1217 0.1162005 109.1121 0.162 start 9 13
## 1218 0.1162005 109.1121 0.162 mif1 9 13
## 1219 0.1162005 109.1121 0.162 start 10 13
## 1220 0.1162005 109.1121 0.162 mif1 10 13
## 1221 0.1162005 109.1121 0.162 start 11 13
## 1222 0.1162005 109.1121 0.162 mif1 11 13
## 1223 0.1162005 109.1121 0.162 start 12 13
## 1224 0.1162005 109.1121 0.162 mif1 12 13
## 1225 0.1162005 109.1121 0.162 start 13 13
## 1226 0.1162005 109.1121 0.162 mif1 13 13
## 1227 0.1162005 109.1121 0.162 start 14 13
## 1228 0.1162005 109.1121 0.162 mif1 14 13
## 1229 0.1162005 109.1121 0.162 start 15 13
## 1230 0.1162005 109.1121 0.162 mif1 15 13
## 1231 0.1162005 109.1121 0.162 start 16 13
## 1232 0.1162005 109.1121 0.162 mif1 16 13
## 1233 0.1162005 109.1121 0.162 start 17 13
## 1234 0.1162005 109.1121 0.162 mif1 17 13
## 1235 0.1162005 109.1121 0.162 start 18 13
## 1236 0.1162005 109.1121 0.162 mif1 18 13
## 1237 0.1162005 109.1121 0.162 start 19 13
## 1238 0.1162005 109.1121 0.162 mif1 19 13
## 1239 0.1162005 109.1121 0.162 start 20 13
## 1240 0.1162005 109.1121 0.162 mif1 20 13
## 1241 0.1162005 109.1121 0.162 start 21 13
## 1242 0.1162005 109.1121 0.162 mif1 21 13
## 1243 0.1162005 109.1121 0.162 start 22 13
## 1244 0.1162005 109.1121 0.162 mif1 22 13
## 1245 0.1162005 109.1121 0.162 start 23 13
## 1246 0.1162005 109.1121 0.162 mif1 23 13
## 1247 0.1162005 109.1121 0.162 start 24 13
## 1248 0.1162005 109.1121 0.162 mif1 24 13
## 1249 0.1162005 109.1121 0.162 start 25 13
## 1250 0.1162005 109.1121 0.162 mif1 25 13
## 1251 0.1162005 109.1121 0.162 start 26 13
## 1252 0.1162005 109.1121 0.162 mif1 26 13
## 1253 0.1162005 109.1121 0.162 start 27 13
## 1254 0.1162005 109.1121 0.162 mif1 27 13
## 1255 0.1162005 109.1121 0.162 start 28 13
## 1256 0.1162005 109.1121 0.162 mif1 28 13
## 1257 0.1162005 109.1121 0.162 start 29 13
## 1258 0.1162005 109.1121 0.162 mif1 29 13
## 1259 0.1162005 109.1121 0.162 start 30 13
## 1260 0.1162005 109.1121 0.162 mif1 30 13
## 1261 0.1162005 109.1121 0.162 start 31 13
## 1262 0.1162005 109.1121 0.162 mif1 31 13
## 1263 0.1162005 109.1121 0.162 start 32 13
## 1264 0.1162005 109.1121 0.162 mif1 32 13
## 1265 0.1162005 109.1121 0.162 start 33 13
## 1266 0.1162005 109.1121 0.162 mif1 33 13
## 1267 0.1162005 109.1121 0.162 start 34 13
## 1268 0.1162005 109.1121 0.162 mif1 34 13
## 1269 0.1162005 109.1121 0.162 start 35 13
## 1270 0.1162005 109.1121 0.162 mif1 35 13
## 1271 0.1162005 109.1121 0.162 start 36 13
## 1272 0.1162005 109.1121 0.162 mif1 36 13
## 1273 0.1162005 109.1121 0.162 start 37 13
## 1274 0.1162005 109.1121 0.162 mif1 37 13
## 1275 0.1162005 109.1121 0.162 start 38 13
## 1276 0.1162005 109.1121 0.162 mif1 38 13
## 1277 0.1162005 109.1121 0.162 start 39 13
## 1278 0.1162005 109.1121 0.162 mif1 39 13
## 1279 0.1162005 109.1121 0.162 start 40 13
## 1280 0.1162005 109.1121 0.162 mif1 40 13
## 1281 0.1162005 109.1121 0.162 start 41 13
## 1282 0.1162005 109.1121 0.162 mif1 41 13
## 1283 0.1162005 109.1121 0.162 start 42 13
## 1284 0.1162005 109.1121 0.162 mif1 42 13
## 1285 0.1162005 109.1121 0.162 start 43 13
## 1286 0.1162005 109.1121 0.162 mif1 43 13
## 1287 0.1162005 109.1121 0.162 start 44 13
## 1288 0.1162005 109.1121 0.162 mif1 44 13
## 1289 0.1162005 109.1121 0.162 start 45 13
## 1290 0.1162005 109.1121 0.162 mif1 45 13
## 1291 0.1162005 109.1121 0.162 start 46 13
## 1292 0.1162005 109.1121 0.162 mif1 46 13
## 1293 0.1162005 109.1121 0.162 start 47 13
## 1294 0.1162005 109.1121 0.162 mif1 47 13
## 1295 0.1162005 109.1121 0.162 start 48 13
## 1296 0.1162005 109.1121 0.162 mif1 48 13
## 1297 0.1162005 109.1121 0.162 start 49 13
## 1298 0.1162005 109.1121 0.162 mif1 49 13
## 1299 0.1162005 109.1121 0.162 start 50 13
## 1300 0.1162005 109.1121 0.162 mif1 50 13
## 1301 0.1162005 109.1121 0.162 start 1 14
## 1302 0.1162005 109.1121 0.162 mif1 1 14
## 1303 0.1162005 109.1121 0.162 start 2 14
## 1304 0.1162005 109.1121 0.162 mif1 2 14
## 1305 0.1162005 109.1121 0.162 start 3 14
## 1306 0.1162005 109.1121 0.162 mif1 3 14
## 1307 0.1162005 109.1121 0.162 start 4 14
## 1308 0.1162005 109.1121 0.162 mif1 4 14
## 1309 0.1162005 109.1121 0.162 start 5 14
## 1310 0.1162005 109.1121 0.162 mif1 5 14
## 1311 0.1162005 109.1121 0.162 start 6 14
## 1312 0.1162005 109.1121 0.162 mif1 6 14
## 1313 0.1162005 109.1121 0.162 start 7 14
## 1314 0.1162005 109.1121 0.162 mif1 7 14
## 1315 0.1162005 109.1121 0.162 start 8 14
## 1316 0.1162005 109.1121 0.162 mif1 8 14
## 1317 0.1162005 109.1121 0.162 start 9 14
## 1318 0.1162005 109.1121 0.162 mif1 9 14
## 1319 0.1162005 109.1121 0.162 start 10 14
## 1320 0.1162005 109.1121 0.162 mif1 10 14
## 1321 0.1162005 109.1121 0.162 start 11 14
## 1322 0.1162005 109.1121 0.162 mif1 11 14
## 1323 0.1162005 109.1121 0.162 start 12 14
## 1324 0.1162005 109.1121 0.162 mif1 12 14
## 1325 0.1162005 109.1121 0.162 start 13 14
## 1326 0.1162005 109.1121 0.162 mif1 13 14
## 1327 0.1162005 109.1121 0.162 start 14 14
## 1328 0.1162005 109.1121 0.162 mif1 14 14
## 1329 0.1162005 109.1121 0.162 start 15 14
## 1330 0.1162005 109.1121 0.162 mif1 15 14
## 1331 0.1162005 109.1121 0.162 start 16 14
## 1332 0.1162005 109.1121 0.162 mif1 16 14
## 1333 0.1162005 109.1121 0.162 start 17 14
## 1334 0.1162005 109.1121 0.162 mif1 17 14
## 1335 0.1162005 109.1121 0.162 start 18 14
## 1336 0.1162005 109.1121 0.162 mif1 18 14
## 1337 0.1162005 109.1121 0.162 start 19 14
## 1338 0.1162005 109.1121 0.162 mif1 19 14
## 1339 0.1162005 109.1121 0.162 start 20 14
## 1340 0.1162005 109.1121 0.162 mif1 20 14
## 1341 0.1162005 109.1121 0.162 start 21 14
## 1342 0.1162005 109.1121 0.162 mif1 21 14
## 1343 0.1162005 109.1121 0.162 start 22 14
## 1344 0.1162005 109.1121 0.162 mif1 22 14
## 1345 0.1162005 109.1121 0.162 start 23 14
## 1346 0.1162005 109.1121 0.162 mif1 23 14
## 1347 0.1162005 109.1121 0.162 start 24 14
## 1348 0.1162005 109.1121 0.162 mif1 24 14
## 1349 0.1162005 109.1121 0.162 start 25 14
## 1350 0.1162005 109.1121 0.162 mif1 25 14
## 1351 0.1162005 109.1121 0.162 start 26 14
## 1352 0.1162005 109.1121 0.162 mif1 26 14
## 1353 0.1162005 109.1121 0.162 start 27 14
## 1354 0.1162005 109.1121 0.162 mif1 27 14
## 1355 0.1162005 109.1121 0.162 start 28 14
## 1356 0.1162005 109.1121 0.162 mif1 28 14
## 1357 0.1162005 109.1121 0.162 start 29 14
## 1358 0.1162005 109.1121 0.162 mif1 29 14
## 1359 0.1162005 109.1121 0.162 start 30 14
## 1360 0.1162005 109.1121 0.162 mif1 30 14
## 1361 0.1162005 109.1121 0.162 start 31 14
## 1362 0.1162005 109.1121 0.162 mif1 31 14
## 1363 0.1162005 109.1121 0.162 start 32 14
## 1364 0.1162005 109.1121 0.162 mif1 32 14
## 1365 0.1162005 109.1121 0.162 start 33 14
## 1366 0.1162005 109.1121 0.162 mif1 33 14
## 1367 0.1162005 109.1121 0.162 start 34 14
## 1368 0.1162005 109.1121 0.162 mif1 34 14
## 1369 0.1162005 109.1121 0.162 start 35 14
## 1370 0.1162005 109.1121 0.162 mif1 35 14
## 1371 0.1162005 109.1121 0.162 start 36 14
## 1372 0.1162005 109.1121 0.162 mif1 36 14
## 1373 0.1162005 109.1121 0.162 start 37 14
## 1374 0.1162005 109.1121 0.162 mif1 37 14
## 1375 0.1162005 109.1121 0.162 start 38 14
## 1376 0.1162005 109.1121 0.162 mif1 38 14
## 1377 0.1162005 109.1121 0.162 start 39 14
## 1378 0.1162005 109.1121 0.162 mif1 39 14
## 1379 0.1162005 109.1121 0.162 start 40 14
## 1380 0.1162005 109.1121 0.162 mif1 40 14
## 1381 0.1162005 109.1121 0.162 start 41 14
## 1382 0.1162005 109.1121 0.162 mif1 41 14
## 1383 0.1162005 109.1121 0.162 start 42 14
## 1384 0.1162005 109.1121 0.162 mif1 42 14
## 1385 0.1162005 109.1121 0.162 start 43 14
## 1386 0.1162005 109.1121 0.162 mif1 43 14
## 1387 0.1162005 109.1121 0.162 start 44 14
## 1388 0.1162005 109.1121 0.162 mif1 44 14
## 1389 0.1162005 109.1121 0.162 start 45 14
## 1390 0.1162005 109.1121 0.162 mif1 45 14
## 1391 0.1162005 109.1121 0.162 start 46 14
## 1392 0.1162005 109.1121 0.162 mif1 46 14
## 1393 0.1162005 109.1121 0.162 start 47 14
## 1394 0.1162005 109.1121 0.162 mif1 47 14
## 1395 0.1162005 109.1121 0.162 start 48 14
## 1396 0.1162005 109.1121 0.162 mif1 48 14
## 1397 0.1162005 109.1121 0.162 start 49 14
## 1398 0.1162005 109.1121 0.162 mif1 49 14
## 1399 0.1162005 109.1121 0.162 start 50 14
## 1400 0.1162005 109.1121 0.162 mif1 50 14
## 1401 0.1162005 109.1121 0.162 start 1 15
## 1402 0.1162005 109.1121 0.162 mif1 1 15
## 1403 0.1162005 109.1121 0.162 start 2 15
## 1404 0.1162005 109.1121 0.162 mif1 2 15
## 1405 0.1162005 109.1121 0.162 start 3 15
## 1406 0.1162005 109.1121 0.162 mif1 3 15
## 1407 0.1162005 109.1121 0.162 start 4 15
## 1408 0.1162005 109.1121 0.162 mif1 4 15
## 1409 0.1162005 109.1121 0.162 start 5 15
## 1410 0.1162005 109.1121 0.162 mif1 5 15
## 1411 0.1162005 109.1121 0.162 start 6 15
## 1412 0.1162005 109.1121 0.162 mif1 6 15
## 1413 0.1162005 109.1121 0.162 start 7 15
## 1414 0.1162005 109.1121 0.162 mif1 7 15
## 1415 0.1162005 109.1121 0.162 start 8 15
## 1416 0.1162005 109.1121 0.162 mif1 8 15
## 1417 0.1162005 109.1121 0.162 start 9 15
## 1418 0.1162005 109.1121 0.162 mif1 9 15
## 1419 0.1162005 109.1121 0.162 start 10 15
## 1420 0.1162005 109.1121 0.162 mif1 10 15
## 1421 0.1162005 109.1121 0.162 start 11 15
## 1422 0.1162005 109.1121 0.162 mif1 11 15
## 1423 0.1162005 109.1121 0.162 start 12 15
## 1424 0.1162005 109.1121 0.162 mif1 12 15
## 1425 0.1162005 109.1121 0.162 start 13 15
## 1426 0.1162005 109.1121 0.162 mif1 13 15
## 1427 0.1162005 109.1121 0.162 start 14 15
## 1428 0.1162005 109.1121 0.162 mif1 14 15
## 1429 0.1162005 109.1121 0.162 start 15 15
## 1430 0.1162005 109.1121 0.162 mif1 15 15
## 1431 0.1162005 109.1121 0.162 start 16 15
## 1432 0.1162005 109.1121 0.162 mif1 16 15
## 1433 0.1162005 109.1121 0.162 start 17 15
## 1434 0.1162005 109.1121 0.162 mif1 17 15
## 1435 0.1162005 109.1121 0.162 start 18 15
## 1436 0.1162005 109.1121 0.162 mif1 18 15
## 1437 0.1162005 109.1121 0.162 start 19 15
## 1438 0.1162005 109.1121 0.162 mif1 19 15
## 1439 0.1162005 109.1121 0.162 start 20 15
## 1440 0.1162005 109.1121 0.162 mif1 20 15
## 1441 0.1162005 109.1121 0.162 start 21 15
## 1442 0.1162005 109.1121 0.162 mif1 21 15
## 1443 0.1162005 109.1121 0.162 start 22 15
## 1444 0.1162005 109.1121 0.162 mif1 22 15
## 1445 0.1162005 109.1121 0.162 start 23 15
## 1446 0.1162005 109.1121 0.162 mif1 23 15
## 1447 0.1162005 109.1121 0.162 start 24 15
## 1448 0.1162005 109.1121 0.162 mif1 24 15
## 1449 0.1162005 109.1121 0.162 start 25 15
## 1450 0.1162005 109.1121 0.162 mif1 25 15
## 1451 0.1162005 109.1121 0.162 start 26 15
## 1452 0.1162005 109.1121 0.162 mif1 26 15
## 1453 0.1162005 109.1121 0.162 start 27 15
## 1454 0.1162005 109.1121 0.162 mif1 27 15
## 1455 0.1162005 109.1121 0.162 start 28 15
## 1456 0.1162005 109.1121 0.162 mif1 28 15
## 1457 0.1162005 109.1121 0.162 start 29 15
## 1458 0.1162005 109.1121 0.162 mif1 29 15
## 1459 0.1162005 109.1121 0.162 start 30 15
## 1460 0.1162005 109.1121 0.162 mif1 30 15
## 1461 0.1162005 109.1121 0.162 start 31 15
## 1462 0.1162005 109.1121 0.162 mif1 31 15
## 1463 0.1162005 109.1121 0.162 start 32 15
## 1464 0.1162005 109.1121 0.162 mif1 32 15
## 1465 0.1162005 109.1121 0.162 start 33 15
## 1466 0.1162005 109.1121 0.162 mif1 33 15
## 1467 0.1162005 109.1121 0.162 start 34 15
## 1468 0.1162005 109.1121 0.162 mif1 34 15
## 1469 0.1162005 109.1121 0.162 start 35 15
## 1470 0.1162005 109.1121 0.162 mif1 35 15
## 1471 0.1162005 109.1121 0.162 start 36 15
## 1472 0.1162005 109.1121 0.162 mif1 36 15
## 1473 0.1162005 109.1121 0.162 start 37 15
## 1474 0.1162005 109.1121 0.162 mif1 37 15
## 1475 0.1162005 109.1121 0.162 start 38 15
## 1476 0.1162005 109.1121 0.162 mif1 38 15
## 1477 0.1162005 109.1121 0.162 start 39 15
## 1478 0.1162005 109.1121 0.162 mif1 39 15
## 1479 0.1162005 109.1121 0.162 start 40 15
## 1480 0.1162005 109.1121 0.162 mif1 40 15
## 1481 0.1162005 109.1121 0.162 start 41 15
## 1482 0.1162005 109.1121 0.162 mif1 41 15
## 1483 0.1162005 109.1121 0.162 start 42 15
## 1484 0.1162005 109.1121 0.162 mif1 42 15
## 1485 0.1162005 109.1121 0.162 start 43 15
## 1486 0.1162005 109.1121 0.162 mif1 43 15
## 1487 0.1162005 109.1121 0.162 start 44 15
## 1488 0.1162005 109.1121 0.162 mif1 44 15
## 1489 0.1162005 109.1121 0.162 start 45 15
## 1490 0.1162005 109.1121 0.162 mif1 45 15
## 1491 0.1162005 109.1121 0.162 start 46 15
## 1492 0.1162005 109.1121 0.162 mif1 46 15
## 1493 0.1162005 109.1121 0.162 start 47 15
## 1494 0.1162005 109.1121 0.162 mif1 47 15
## 1495 0.1162005 109.1121 0.162 start 48 15
## 1496 0.1162005 109.1121 0.162 mif1 48 15
## 1497 0.1162005 109.1121 0.162 start 49 15
## 1498 0.1162005 109.1121 0.162 mif1 49 15
## 1499 0.1162005 109.1121 0.162 start 50 15
## 1500 0.1162005 109.1121 0.162 mif1 50 15
## 1501 0.1162005 109.1121 0.162 start 1 16
## 1502 0.1162005 109.1121 0.162 mif1 1 16
## 1503 0.1162005 109.1121 0.162 start 2 16
## 1504 0.1162005 109.1121 0.162 mif1 2 16
## 1505 0.1162005 109.1121 0.162 start 3 16
## 1506 0.1162005 109.1121 0.162 mif1 3 16
## 1507 0.1162005 109.1121 0.162 start 4 16
## 1508 0.1162005 109.1121 0.162 mif1 4 16
## 1509 0.1162005 109.1121 0.162 start 5 16
## 1510 0.1162005 109.1121 0.162 mif1 5 16
## 1511 0.1162005 109.1121 0.162 start 6 16
## 1512 0.1162005 109.1121 0.162 mif1 6 16
## 1513 0.1162005 109.1121 0.162 start 7 16
## 1514 0.1162005 109.1121 0.162 mif1 7 16
## 1515 0.1162005 109.1121 0.162 start 8 16
## 1516 0.1162005 109.1121 0.162 mif1 8 16
## 1517 0.1162005 109.1121 0.162 start 9 16
## 1518 0.1162005 109.1121 0.162 mif1 9 16
## 1519 0.1162005 109.1121 0.162 start 10 16
## 1520 0.1162005 109.1121 0.162 mif1 10 16
## 1521 0.1162005 109.1121 0.162 start 11 16
## 1522 0.1162005 109.1121 0.162 mif1 11 16
## 1523 0.1162005 109.1121 0.162 start 12 16
## 1524 0.1162005 109.1121 0.162 mif1 12 16
## 1525 0.1162005 109.1121 0.162 start 13 16
## 1526 0.1162005 109.1121 0.162 mif1 13 16
## 1527 0.1162005 109.1121 0.162 start 14 16
## 1528 0.1162005 109.1121 0.162 mif1 14 16
## 1529 0.1162005 109.1121 0.162 start 15 16
## 1530 0.1162005 109.1121 0.162 mif1 15 16
## 1531 0.1162005 109.1121 0.162 start 16 16
## 1532 0.1162005 109.1121 0.162 mif1 16 16
## 1533 0.1162005 109.1121 0.162 start 17 16
## 1534 0.1162005 109.1121 0.162 mif1 17 16
## 1535 0.1162005 109.1121 0.162 start 18 16
## 1536 0.1162005 109.1121 0.162 mif1 18 16
## 1537 0.1162005 109.1121 0.162 start 19 16
## 1538 0.1162005 109.1121 0.162 mif1 19 16
## 1539 0.1162005 109.1121 0.162 start 20 16
## 1540 0.1162005 109.1121 0.162 mif1 20 16
## 1541 0.1162005 109.1121 0.162 start 21 16
## 1542 0.1162005 109.1121 0.162 mif1 21 16
## 1543 0.1162005 109.1121 0.162 start 22 16
## 1544 0.1162005 109.1121 0.162 mif1 22 16
## 1545 0.1162005 109.1121 0.162 start 23 16
## 1546 0.1162005 109.1121 0.162 mif1 23 16
## 1547 0.1162005 109.1121 0.162 start 24 16
## 1548 0.1162005 109.1121 0.162 mif1 24 16
## 1549 0.1162005 109.1121 0.162 start 25 16
## 1550 0.1162005 109.1121 0.162 mif1 25 16
## 1551 0.1162005 109.1121 0.162 start 26 16
## 1552 0.1162005 109.1121 0.162 mif1 26 16
## 1553 0.1162005 109.1121 0.162 start 27 16
## 1554 0.1162005 109.1121 0.162 mif1 27 16
## 1555 0.1162005 109.1121 0.162 start 28 16
## 1556 0.1162005 109.1121 0.162 mif1 28 16
## 1557 0.1162005 109.1121 0.162 start 29 16
## 1558 0.1162005 109.1121 0.162 mif1 29 16
## 1559 0.1162005 109.1121 0.162 start 30 16
## 1560 0.1162005 109.1121 0.162 mif1 30 16
## 1561 0.1162005 109.1121 0.162 start 31 16
## 1562 0.1162005 109.1121 0.162 mif1 31 16
## 1563 0.1162005 109.1121 0.162 start 32 16
## 1564 0.1162005 109.1121 0.162 mif1 32 16
## 1565 0.1162005 109.1121 0.162 start 33 16
## 1566 0.1162005 109.1121 0.162 mif1 33 16
## 1567 0.1162005 109.1121 0.162 start 34 16
## 1568 0.1162005 109.1121 0.162 mif1 34 16
## 1569 0.1162005 109.1121 0.162 start 35 16
## 1570 0.1162005 109.1121 0.162 mif1 35 16
## 1571 0.1162005 109.1121 0.162 start 36 16
## 1572 0.1162005 109.1121 0.162 mif1 36 16
## 1573 0.1162005 109.1121 0.162 start 37 16
## 1574 0.1162005 109.1121 0.162 mif1 37 16
## 1575 0.1162005 109.1121 0.162 start 38 16
## 1576 0.1162005 109.1121 0.162 mif1 38 16
## 1577 0.1162005 109.1121 0.162 start 39 16
## 1578 0.1162005 109.1121 0.162 mif1 39 16
## 1579 0.1162005 109.1121 0.162 start 40 16
## 1580 0.1162005 109.1121 0.162 mif1 40 16
## 1581 0.1162005 109.1121 0.162 start 41 16
## 1582 0.1162005 109.1121 0.162 mif1 41 16
## 1583 0.1162005 109.1121 0.162 start 42 16
## 1584 0.1162005 109.1121 0.162 mif1 42 16
## 1585 0.1162005 109.1121 0.162 start 43 16
## 1586 0.1162005 109.1121 0.162 mif1 43 16
## 1587 0.1162005 109.1121 0.162 start 44 16
## 1588 0.1162005 109.1121 0.162 mif1 44 16
## 1589 0.1162005 109.1121 0.162 start 45 16
## 1590 0.1162005 109.1121 0.162 mif1 45 16
## 1591 0.1162005 109.1121 0.162 start 46 16
## 1592 0.1162005 109.1121 0.162 mif1 46 16
## 1593 0.1162005 109.1121 0.162 start 47 16
## 1594 0.1162005 109.1121 0.162 mif1 47 16
## 1595 0.1162005 109.1121 0.162 start 48 16
## 1596 0.1162005 109.1121 0.162 mif1 48 16
## 1597 0.1162005 109.1121 0.162 start 49 16
## 1598 0.1162005 109.1121 0.162 mif1 49 16
## 1599 0.1162005 109.1121 0.162 start 50 16
## 1600 0.1162005 109.1121 0.162 mif1 50 16
## 1601 0.1162005 109.1121 0.162 start 1 17
## 1602 0.1162005 109.1121 0.162 mif1 1 17
## 1603 0.1162005 109.1121 0.162 start 2 17
## 1604 0.1162005 109.1121 0.162 mif1 2 17
## 1605 0.1162005 109.1121 0.162 start 3 17
## 1606 0.1162005 109.1121 0.162 mif1 3 17
## 1607 0.1162005 109.1121 0.162 start 4 17
## 1608 0.1162005 109.1121 0.162 mif1 4 17
## 1609 0.1162005 109.1121 0.162 start 5 17
## 1610 0.1162005 109.1121 0.162 mif1 5 17
## 1611 0.1162005 109.1121 0.162 start 6 17
## 1612 0.1162005 109.1121 0.162 mif1 6 17
## 1613 0.1162005 109.1121 0.162 start 7 17
## 1614 0.1162005 109.1121 0.162 mif1 7 17
## 1615 0.1162005 109.1121 0.162 start 8 17
## 1616 0.1162005 109.1121 0.162 mif1 8 17
## 1617 0.1162005 109.1121 0.162 start 9 17
## 1618 0.1162005 109.1121 0.162 mif1 9 17
## 1619 0.1162005 109.1121 0.162 start 10 17
## 1620 0.1162005 109.1121 0.162 mif1 10 17
## 1621 0.1162005 109.1121 0.162 start 11 17
## 1622 0.1162005 109.1121 0.162 mif1 11 17
## 1623 0.1162005 109.1121 0.162 start 12 17
## 1624 0.1162005 109.1121 0.162 mif1 12 17
## 1625 0.1162005 109.1121 0.162 start 13 17
## 1626 0.1162005 109.1121 0.162 mif1 13 17
## 1627 0.1162005 109.1121 0.162 start 14 17
## 1628 0.1162005 109.1121 0.162 mif1 14 17
## 1629 0.1162005 109.1121 0.162 start 15 17
## 1630 0.1162005 109.1121 0.162 mif1 15 17
## 1631 0.1162005 109.1121 0.162 start 16 17
## 1632 0.1162005 109.1121 0.162 mif1 16 17
## 1633 0.1162005 109.1121 0.162 start 17 17
## 1634 0.1162005 109.1121 0.162 mif1 17 17
## 1635 0.1162005 109.1121 0.162 start 18 17
## 1636 0.1162005 109.1121 0.162 mif1 18 17
## 1637 0.1162005 109.1121 0.162 start 19 17
## 1638 0.1162005 109.1121 0.162 mif1 19 17
## 1639 0.1162005 109.1121 0.162 start 20 17
## 1640 0.1162005 109.1121 0.162 mif1 20 17
## 1641 0.1162005 109.1121 0.162 start 21 17
## 1642 0.1162005 109.1121 0.162 mif1 21 17
## 1643 0.1162005 109.1121 0.162 start 22 17
## 1644 0.1162005 109.1121 0.162 mif1 22 17
## 1645 0.1162005 109.1121 0.162 start 23 17
## 1646 0.1162005 109.1121 0.162 mif1 23 17
## 1647 0.1162005 109.1121 0.162 start 24 17
## 1648 0.1162005 109.1121 0.162 mif1 24 17
## 1649 0.1162005 109.1121 0.162 start 25 17
## 1650 0.1162005 109.1121 0.162 mif1 25 17
## 1651 0.1162005 109.1121 0.162 start 26 17
## 1652 0.1162005 109.1121 0.162 mif1 26 17
## 1653 0.1162005 109.1121 0.162 start 27 17
## 1654 0.1162005 109.1121 0.162 mif1 27 17
## 1655 0.1162005 109.1121 0.162 start 28 17
## 1656 0.1162005 109.1121 0.162 mif1 28 17
## 1657 0.1162005 109.1121 0.162 start 29 17
## 1658 0.1162005 109.1121 0.162 mif1 29 17
## 1659 0.1162005 109.1121 0.162 start 30 17
## 1660 0.1162005 109.1121 0.162 mif1 30 17
## 1661 0.1162005 109.1121 0.162 start 31 17
## 1662 0.1162005 109.1121 0.162 mif1 31 17
## 1663 0.1162005 109.1121 0.162 start 32 17
## 1664 0.1162005 109.1121 0.162 mif1 32 17
## 1665 0.1162005 109.1121 0.162 start 33 17
## 1666 0.1162005 109.1121 0.162 mif1 33 17
## 1667 0.1162005 109.1121 0.162 start 34 17
## 1668 0.1162005 109.1121 0.162 mif1 34 17
## 1669 0.1162005 109.1121 0.162 start 35 17
## 1670 0.1162005 109.1121 0.162 mif1 35 17
## 1671 0.1162005 109.1121 0.162 start 36 17
## 1672 0.1162005 109.1121 0.162 mif1 36 17
## 1673 0.1162005 109.1121 0.162 start 37 17
## 1674 0.1162005 109.1121 0.162 mif1 37 17
## 1675 0.1162005 109.1121 0.162 start 38 17
## 1676 0.1162005 109.1121 0.162 mif1 38 17
## 1677 0.1162005 109.1121 0.162 start 39 17
## 1678 0.1162005 109.1121 0.162 mif1 39 17
## 1679 0.1162005 109.1121 0.162 start 40 17
## 1680 0.1162005 109.1121 0.162 mif1 40 17
## 1681 0.1162005 109.1121 0.162 start 41 17
## 1682 0.1162005 109.1121 0.162 mif1 41 17
## 1683 0.1162005 109.1121 0.162 start 42 17
## 1684 0.1162005 109.1121 0.162 mif1 42 17
## 1685 0.1162005 109.1121 0.162 start 43 17
## 1686 0.1162005 109.1121 0.162 mif1 43 17
## 1687 0.1162005 109.1121 0.162 start 44 17
## 1688 0.1162005 109.1121 0.162 mif1 44 17
## 1689 0.1162005 109.1121 0.162 start 45 17
## 1690 0.1162005 109.1121 0.162 mif1 45 17
## 1691 0.1162005 109.1121 0.162 start 46 17
## 1692 0.1162005 109.1121 0.162 mif1 46 17
## 1693 0.1162005 109.1121 0.162 start 47 17
## 1694 0.1162005 109.1121 0.162 mif1 47 17
## 1695 0.1162005 109.1121 0.162 start 48 17
## 1696 0.1162005 109.1121 0.162 mif1 48 17
## 1697 0.1162005 109.1121 0.162 start 49 17
## 1698 0.1162005 109.1121 0.162 mif1 49 17
## 1699 0.1162005 109.1121 0.162 start 50 17
## 1700 0.1162005 109.1121 0.162 mif1 50 17
## 1701 0.1162005 109.1121 0.162 start 1 18
## 1702 0.1162005 109.1121 0.162 mif1 1 18
## 1703 0.1162005 109.1121 0.162 start 2 18
## 1704 0.1162005 109.1121 0.162 mif1 2 18
## 1705 0.1162005 109.1121 0.162 start 3 18
## 1706 0.1162005 109.1121 0.162 mif1 3 18
## 1707 0.1162005 109.1121 0.162 start 4 18
## 1708 0.1162005 109.1121 0.162 mif1 4 18
## 1709 0.1162005 109.1121 0.162 start 5 18
## 1710 0.1162005 109.1121 0.162 mif1 5 18
## 1711 0.1162005 109.1121 0.162 start 6 18
## 1712 0.1162005 109.1121 0.162 mif1 6 18
## 1713 0.1162005 109.1121 0.162 start 7 18
## 1714 0.1162005 109.1121 0.162 mif1 7 18
## 1715 0.1162005 109.1121 0.162 start 8 18
## 1716 0.1162005 109.1121 0.162 mif1 8 18
## 1717 0.1162005 109.1121 0.162 start 9 18
## 1718 0.1162005 109.1121 0.162 mif1 9 18
## 1719 0.1162005 109.1121 0.162 start 10 18
## 1720 0.1162005 109.1121 0.162 mif1 10 18
## 1721 0.1162005 109.1121 0.162 start 11 18
## 1722 0.1162005 109.1121 0.162 mif1 11 18
## 1723 0.1162005 109.1121 0.162 start 12 18
## 1724 0.1162005 109.1121 0.162 mif1 12 18
## 1725 0.1162005 109.1121 0.162 start 13 18
## 1726 0.1162005 109.1121 0.162 mif1 13 18
## 1727 0.1162005 109.1121 0.162 start 14 18
## 1728 0.1162005 109.1121 0.162 mif1 14 18
## 1729 0.1162005 109.1121 0.162 start 15 18
## 1730 0.1162005 109.1121 0.162 mif1 15 18
## 1731 0.1162005 109.1121 0.162 start 16 18
## 1732 0.1162005 109.1121 0.162 mif1 16 18
## 1733 0.1162005 109.1121 0.162 start 17 18
## 1734 0.1162005 109.1121 0.162 mif1 17 18
## 1735 0.1162005 109.1121 0.162 start 18 18
## 1736 0.1162005 109.1121 0.162 mif1 18 18
## 1737 0.1162005 109.1121 0.162 start 19 18
## 1738 0.1162005 109.1121 0.162 mif1 19 18
## 1739 0.1162005 109.1121 0.162 start 20 18
## 1740 0.1162005 109.1121 0.162 mif1 20 18
## 1741 0.1162005 109.1121 0.162 start 21 18
## 1742 0.1162005 109.1121 0.162 mif1 21 18
## 1743 0.1162005 109.1121 0.162 start 22 18
## 1744 0.1162005 109.1121 0.162 mif1 22 18
## 1745 0.1162005 109.1121 0.162 start 23 18
## 1746 0.1162005 109.1121 0.162 mif1 23 18
## 1747 0.1162005 109.1121 0.162 start 24 18
## 1748 0.1162005 109.1121 0.162 mif1 24 18
## 1749 0.1162005 109.1121 0.162 start 25 18
## 1750 0.1162005 109.1121 0.162 mif1 25 18
## 1751 0.1162005 109.1121 0.162 start 26 18
## 1752 0.1162005 109.1121 0.162 mif1 26 18
## 1753 0.1162005 109.1121 0.162 start 27 18
## 1754 0.1162005 109.1121 0.162 mif1 27 18
## 1755 0.1162005 109.1121 0.162 start 28 18
## 1756 0.1162005 109.1121 0.162 mif1 28 18
## 1757 0.1162005 109.1121 0.162 start 29 18
## 1758 0.1162005 109.1121 0.162 mif1 29 18
## 1759 0.1162005 109.1121 0.162 start 30 18
## 1760 0.1162005 109.1121 0.162 mif1 30 18
## 1761 0.1162005 109.1121 0.162 start 31 18
## 1762 0.1162005 109.1121 0.162 mif1 31 18
## 1763 0.1162005 109.1121 0.162 start 32 18
## 1764 0.1162005 109.1121 0.162 mif1 32 18
## 1765 0.1162005 109.1121 0.162 start 33 18
## 1766 0.1162005 109.1121 0.162 mif1 33 18
## 1767 0.1162005 109.1121 0.162 start 34 18
## 1768 0.1162005 109.1121 0.162 mif1 34 18
## 1769 0.1162005 109.1121 0.162 start 35 18
## 1770 0.1162005 109.1121 0.162 mif1 35 18
## 1771 0.1162005 109.1121 0.162 start 36 18
## 1772 0.1162005 109.1121 0.162 mif1 36 18
## 1773 0.1162005 109.1121 0.162 start 37 18
## 1774 0.1162005 109.1121 0.162 mif1 37 18
## 1775 0.1162005 109.1121 0.162 start 38 18
## 1776 0.1162005 109.1121 0.162 mif1 38 18
## 1777 0.1162005 109.1121 0.162 start 39 18
## 1778 0.1162005 109.1121 0.162 mif1 39 18
## 1779 0.1162005 109.1121 0.162 start 40 18
## 1780 0.1162005 109.1121 0.162 mif1 40 18
## 1781 0.1162005 109.1121 0.162 start 41 18
## 1782 0.1162005 109.1121 0.162 mif1 41 18
## 1783 0.1162005 109.1121 0.162 start 42 18
## 1784 0.1162005 109.1121 0.162 mif1 42 18
## 1785 0.1162005 109.1121 0.162 start 43 18
## 1786 0.1162005 109.1121 0.162 mif1 43 18
## 1787 0.1162005 109.1121 0.162 start 44 18
## 1788 0.1162005 109.1121 0.162 mif1 44 18
## 1789 0.1162005 109.1121 0.162 start 45 18
## 1790 0.1162005 109.1121 0.162 mif1 45 18
## 1791 0.1162005 109.1121 0.162 start 46 18
## 1792 0.1162005 109.1121 0.162 mif1 46 18
## 1793 0.1162005 109.1121 0.162 start 47 18
## 1794 0.1162005 109.1121 0.162 mif1 47 18
## 1795 0.1162005 109.1121 0.162 start 48 18
## 1796 0.1162005 109.1121 0.162 mif1 48 18
## 1797 0.1162005 109.1121 0.162 start 49 18
## 1798 0.1162005 109.1121 0.162 mif1 49 18
## 1799 0.1162005 109.1121 0.162 start 50 18
## 1800 0.1162005 109.1121 0.162 mif1 50 18
## 1801 0.1162005 109.1121 0.162 start 1 19
## 1802 0.1162005 109.1121 0.162 mif1 1 19
## 1803 0.1162005 109.1121 0.162 start 2 19
## 1804 0.1162005 109.1121 0.162 mif1 2 19
## 1805 0.1162005 109.1121 0.162 start 3 19
## 1806 0.1162005 109.1121 0.162 mif1 3 19
## 1807 0.1162005 109.1121 0.162 start 4 19
## 1808 0.1162005 109.1121 0.162 mif1 4 19
## 1809 0.1162005 109.1121 0.162 start 5 19
## 1810 0.1162005 109.1121 0.162 mif1 5 19
## 1811 0.1162005 109.1121 0.162 start 6 19
## 1812 0.1162005 109.1121 0.162 mif1 6 19
## 1813 0.1162005 109.1121 0.162 start 7 19
## 1814 0.1162005 109.1121 0.162 mif1 7 19
## 1815 0.1162005 109.1121 0.162 start 8 19
## 1816 0.1162005 109.1121 0.162 mif1 8 19
## 1817 0.1162005 109.1121 0.162 start 9 19
## 1818 0.1162005 109.1121 0.162 mif1 9 19
## 1819 0.1162005 109.1121 0.162 start 10 19
## 1820 0.1162005 109.1121 0.162 mif1 10 19
## 1821 0.1162005 109.1121 0.162 start 11 19
## 1822 0.1162005 109.1121 0.162 mif1 11 19
## 1823 0.1162005 109.1121 0.162 start 12 19
## 1824 0.1162005 109.1121 0.162 mif1 12 19
## 1825 0.1162005 109.1121 0.162 start 13 19
## 1826 0.1162005 109.1121 0.162 mif1 13 19
## 1827 0.1162005 109.1121 0.162 start 14 19
## 1828 0.1162005 109.1121 0.162 mif1 14 19
## 1829 0.1162005 109.1121 0.162 start 15 19
## 1830 0.1162005 109.1121 0.162 mif1 15 19
## 1831 0.1162005 109.1121 0.162 start 16 19
## 1832 0.1162005 109.1121 0.162 mif1 16 19
## 1833 0.1162005 109.1121 0.162 start 17 19
## 1834 0.1162005 109.1121 0.162 mif1 17 19
## 1835 0.1162005 109.1121 0.162 start 18 19
## 1836 0.1162005 109.1121 0.162 mif1 18 19
## 1837 0.1162005 109.1121 0.162 start 19 19
## 1838 0.1162005 109.1121 0.162 mif1 19 19
## 1839 0.1162005 109.1121 0.162 start 20 19
## 1840 0.1162005 109.1121 0.162 mif1 20 19
## 1841 0.1162005 109.1121 0.162 start 21 19
## 1842 0.1162005 109.1121 0.162 mif1 21 19
## 1843 0.1162005 109.1121 0.162 start 22 19
## 1844 0.1162005 109.1121 0.162 mif1 22 19
## 1845 0.1162005 109.1121 0.162 start 23 19
## 1846 0.1162005 109.1121 0.162 mif1 23 19
## 1847 0.1162005 109.1121 0.162 start 24 19
## 1848 0.1162005 109.1121 0.162 mif1 24 19
## 1849 0.1162005 109.1121 0.162 start 25 19
## 1850 0.1162005 109.1121 0.162 mif1 25 19
## 1851 0.1162005 109.1121 0.162 start 26 19
## 1852 0.1162005 109.1121 0.162 mif1 26 19
## 1853 0.1162005 109.1121 0.162 start 27 19
## 1854 0.1162005 109.1121 0.162 mif1 27 19
## 1855 0.1162005 109.1121 0.162 start 28 19
## 1856 0.1162005 109.1121 0.162 mif1 28 19
## 1857 0.1162005 109.1121 0.162 start 29 19
## 1858 0.1162005 109.1121 0.162 mif1 29 19
## 1859 0.1162005 109.1121 0.162 start 30 19
## 1860 0.1162005 109.1121 0.162 mif1 30 19
## 1861 0.1162005 109.1121 0.162 start 31 19
## 1862 0.1162005 109.1121 0.162 mif1 31 19
## 1863 0.1162005 109.1121 0.162 start 32 19
## 1864 0.1162005 109.1121 0.162 mif1 32 19
## 1865 0.1162005 109.1121 0.162 start 33 19
## 1866 0.1162005 109.1121 0.162 mif1 33 19
## 1867 0.1162005 109.1121 0.162 start 34 19
## 1868 0.1162005 109.1121 0.162 mif1 34 19
## 1869 0.1162005 109.1121 0.162 start 35 19
## 1870 0.1162005 109.1121 0.162 mif1 35 19
## 1871 0.1162005 109.1121 0.162 start 36 19
## 1872 0.1162005 109.1121 0.162 mif1 36 19
## 1873 0.1162005 109.1121 0.162 start 37 19
## 1874 0.1162005 109.1121 0.162 mif1 37 19
## 1875 0.1162005 109.1121 0.162 start 38 19
## 1876 0.1162005 109.1121 0.162 mif1 38 19
## 1877 0.1162005 109.1121 0.162 start 39 19
## 1878 0.1162005 109.1121 0.162 mif1 39 19
## 1879 0.1162005 109.1121 0.162 start 40 19
## 1880 0.1162005 109.1121 0.162 mif1 40 19
## 1881 0.1162005 109.1121 0.162 start 41 19
## 1882 0.1162005 109.1121 0.162 mif1 41 19
## 1883 0.1162005 109.1121 0.162 start 42 19
## 1884 0.1162005 109.1121 0.162 mif1 42 19
## 1885 0.1162005 109.1121 0.162 start 43 19
## 1886 0.1162005 109.1121 0.162 mif1 43 19
## 1887 0.1162005 109.1121 0.162 start 44 19
## 1888 0.1162005 109.1121 0.162 mif1 44 19
## 1889 0.1162005 109.1121 0.162 start 45 19
## 1890 0.1162005 109.1121 0.162 mif1 45 19
## 1891 0.1162005 109.1121 0.162 start 46 19
## 1892 0.1162005 109.1121 0.162 mif1 46 19
## 1893 0.1162005 109.1121 0.162 start 47 19
## 1894 0.1162005 109.1121 0.162 mif1 47 19
## 1895 0.1162005 109.1121 0.162 start 48 19
## 1896 0.1162005 109.1121 0.162 mif1 48 19
## 1897 0.1162005 109.1121 0.162 start 49 19
## 1898 0.1162005 109.1121 0.162 mif1 49 19
## 1899 0.1162005 109.1121 0.162 start 50 19
## 1900 0.1162005 109.1121 0.162 mif1 50 19
## 1901 0.1162005 109.1121 0.162 start 1 20
## 1902 0.1162005 109.1121 0.162 mif1 1 20
## 1903 0.1162005 109.1121 0.162 start 2 20
## 1904 0.1162005 109.1121 0.162 mif1 2 20
## 1905 0.1162005 109.1121 0.162 start 3 20
## 1906 0.1162005 109.1121 0.162 mif1 3 20
## 1907 0.1162005 109.1121 0.162 start 4 20
## 1908 0.1162005 109.1121 0.162 mif1 4 20
## 1909 0.1162005 109.1121 0.162 start 5 20
## 1910 0.1162005 109.1121 0.162 mif1 5 20
## 1911 0.1162005 109.1121 0.162 start 6 20
## 1912 0.1162005 109.1121 0.162 mif1 6 20
## 1913 0.1162005 109.1121 0.162 start 7 20
## 1914 0.1162005 109.1121 0.162 mif1 7 20
## 1915 0.1162005 109.1121 0.162 start 8 20
## 1916 0.1162005 109.1121 0.162 mif1 8 20
## 1917 0.1162005 109.1121 0.162 start 9 20
## 1918 0.1162005 109.1121 0.162 mif1 9 20
## 1919 0.1162005 109.1121 0.162 start 10 20
## 1920 0.1162005 109.1121 0.162 mif1 10 20
## 1921 0.1162005 109.1121 0.162 start 11 20
## 1922 0.1162005 109.1121 0.162 mif1 11 20
## 1923 0.1162005 109.1121 0.162 start 12 20
## 1924 0.1162005 109.1121 0.162 mif1 12 20
## 1925 0.1162005 109.1121 0.162 start 13 20
## 1926 0.1162005 109.1121 0.162 mif1 13 20
## 1927 0.1162005 109.1121 0.162 start 14 20
## 1928 0.1162005 109.1121 0.162 mif1 14 20
## 1929 0.1162005 109.1121 0.162 start 15 20
## 1930 0.1162005 109.1121 0.162 mif1 15 20
## 1931 0.1162005 109.1121 0.162 start 16 20
## 1932 0.1162005 109.1121 0.162 mif1 16 20
## 1933 0.1162005 109.1121 0.162 start 17 20
## 1934 0.1162005 109.1121 0.162 mif1 17 20
## 1935 0.1162005 109.1121 0.162 start 18 20
## 1936 0.1162005 109.1121 0.162 mif1 18 20
## 1937 0.1162005 109.1121 0.162 start 19 20
## 1938 0.1162005 109.1121 0.162 mif1 19 20
## 1939 0.1162005 109.1121 0.162 start 20 20
## 1940 0.1162005 109.1121 0.162 mif1 20 20
## 1941 0.1162005 109.1121 0.162 start 21 20
## 1942 0.1162005 109.1121 0.162 mif1 21 20
## 1943 0.1162005 109.1121 0.162 start 22 20
## 1944 0.1162005 109.1121 0.162 mif1 22 20
## 1945 0.1162005 109.1121 0.162 start 23 20
## 1946 0.1162005 109.1121 0.162 mif1 23 20
## 1947 0.1162005 109.1121 0.162 start 24 20
## 1948 0.1162005 109.1121 0.162 mif1 24 20
## 1949 0.1162005 109.1121 0.162 start 25 20
## 1950 0.1162005 109.1121 0.162 mif1 25 20
## 1951 0.1162005 109.1121 0.162 start 26 20
## 1952 0.1162005 109.1121 0.162 mif1 26 20
## 1953 0.1162005 109.1121 0.162 start 27 20
## 1954 0.1162005 109.1121 0.162 mif1 27 20
## 1955 0.1162005 109.1121 0.162 start 28 20
## 1956 0.1162005 109.1121 0.162 mif1 28 20
## 1957 0.1162005 109.1121 0.162 start 29 20
## 1958 0.1162005 109.1121 0.162 mif1 29 20
## 1959 0.1162005 109.1121 0.162 start 30 20
## 1960 0.1162005 109.1121 0.162 mif1 30 20
## 1961 0.1162005 109.1121 0.162 start 31 20
## 1962 0.1162005 109.1121 0.162 mif1 31 20
## 1963 0.1162005 109.1121 0.162 start 32 20
## 1964 0.1162005 109.1121 0.162 mif1 32 20
## 1965 0.1162005 109.1121 0.162 start 33 20
## 1966 0.1162005 109.1121 0.162 mif1 33 20
## 1967 0.1162005 109.1121 0.162 start 34 20
## 1968 0.1162005 109.1121 0.162 mif1 34 20
## 1969 0.1162005 109.1121 0.162 start 35 20
## 1970 0.1162005 109.1121 0.162 mif1 35 20
## 1971 0.1162005 109.1121 0.162 start 36 20
## 1972 0.1162005 109.1121 0.162 mif1 36 20
## 1973 0.1162005 109.1121 0.162 start 37 20
## 1974 0.1162005 109.1121 0.162 mif1 37 20
## 1975 0.1162005 109.1121 0.162 start 38 20
## 1976 0.1162005 109.1121 0.162 mif1 38 20
## 1977 0.1162005 109.1121 0.162 start 39 20
## 1978 0.1162005 109.1121 0.162 mif1 39 20
## 1979 0.1162005 109.1121 0.162 start 40 20
## 1980 0.1162005 109.1121 0.162 mif1 40 20
## 1981 0.1162005 109.1121 0.162 start 41 20
## 1982 0.1162005 109.1121 0.162 mif1 41 20
## 1983 0.1162005 109.1121 0.162 start 42 20
## 1984 0.1162005 109.1121 0.162 mif1 42 20
## 1985 0.1162005 109.1121 0.162 start 43 20
## 1986 0.1162005 109.1121 0.162 mif1 43 20
## 1987 0.1162005 109.1121 0.162 start 44 20
## 1988 0.1162005 109.1121 0.162 mif1 44 20
## 1989 0.1162005 109.1121 0.162 start 45 20
## 1990 0.1162005 109.1121 0.162 mif1 45 20
## 1991 0.1162005 109.1121 0.162 start 46 20
## 1992 0.1162005 109.1121 0.162 mif1 46 20
## 1993 0.1162005 109.1121 0.162 start 47 20
## 1994 0.1162005 109.1121 0.162 mif1 47 20
## 1995 0.1162005 109.1121 0.162 start 48 20
## 1996 0.1162005 109.1121 0.162 mif1 48 20
## 1997 0.1162005 109.1121 0.162 start 49 20
## 1998 0.1162005 109.1121 0.162 mif1 49 20
## 1999 0.1162005 109.1121 0.162 start 50 20
## 2000 0.1162005 109.1121 0.162 mif1 50 20
## 2001 0.1162005 109.1121 0.162 start 1 21
## 2002 0.1162005 109.1121 0.162 mif1 1 21
## 2003 0.1162005 109.1121 0.162 start 2 21
## 2004 0.1162005 109.1121 0.162 mif1 2 21
## 2005 0.1162005 109.1121 0.162 start 3 21
## 2006 0.1162005 109.1121 0.162 mif1 3 21
## 2007 0.1162005 109.1121 0.162 start 4 21
## 2008 0.1162005 109.1121 0.162 mif1 4 21
## 2009 0.1162005 109.1121 0.162 start 5 21
## 2010 0.1162005 109.1121 0.162 mif1 5 21
## 2011 0.1162005 109.1121 0.162 start 6 21
## 2012 0.1162005 109.1121 0.162 mif1 6 21
## 2013 0.1162005 109.1121 0.162 start 7 21
## 2014 0.1162005 109.1121 0.162 mif1 7 21
## 2015 0.1162005 109.1121 0.162 start 8 21
## 2016 0.1162005 109.1121 0.162 mif1 8 21
## 2017 0.1162005 109.1121 0.162 start 9 21
## 2018 0.1162005 109.1121 0.162 mif1 9 21
## 2019 0.1162005 109.1121 0.162 start 10 21
## 2020 0.1162005 109.1121 0.162 mif1 10 21
## 2021 0.1162005 109.1121 0.162 start 11 21
## 2022 0.1162005 109.1121 0.162 mif1 11 21
## 2023 0.1162005 109.1121 0.162 start 12 21
## 2024 0.1162005 109.1121 0.162 mif1 12 21
## 2025 0.1162005 109.1121 0.162 start 13 21
## 2026 0.1162005 109.1121 0.162 mif1 13 21
## 2027 0.1162005 109.1121 0.162 start 14 21
## 2028 0.1162005 109.1121 0.162 mif1 14 21
## 2029 0.1162005 109.1121 0.162 start 15 21
## 2030 0.1162005 109.1121 0.162 mif1 15 21
## 2031 0.1162005 109.1121 0.162 start 16 21
## 2032 0.1162005 109.1121 0.162 mif1 16 21
## 2033 0.1162005 109.1121 0.162 start 17 21
## 2034 0.1162005 109.1121 0.162 mif1 17 21
## 2035 0.1162005 109.1121 0.162 start 18 21
## 2036 0.1162005 109.1121 0.162 mif1 18 21
## 2037 0.1162005 109.1121 0.162 start 19 21
## 2038 0.1162005 109.1121 0.162 mif1 19 21
## 2039 0.1162005 109.1121 0.162 start 20 21
## 2040 0.1162005 109.1121 0.162 mif1 20 21
## 2041 0.1162005 109.1121 0.162 start 21 21
## 2042 0.1162005 109.1121 0.162 mif1 21 21
## 2043 0.1162005 109.1121 0.162 start 22 21
## 2044 0.1162005 109.1121 0.162 mif1 22 21
## 2045 0.1162005 109.1121 0.162 start 23 21
## 2046 0.1162005 109.1121 0.162 mif1 23 21
## 2047 0.1162005 109.1121 0.162 start 24 21
## 2048 0.1162005 109.1121 0.162 mif1 24 21
## 2049 0.1162005 109.1121 0.162 start 25 21
## 2050 0.1162005 109.1121 0.162 mif1 25 21
## 2051 0.1162005 109.1121 0.162 start 26 21
## 2052 0.1162005 109.1121 0.162 mif1 26 21
## 2053 0.1162005 109.1121 0.162 start 27 21
## 2054 0.1162005 109.1121 0.162 mif1 27 21
## 2055 0.1162005 109.1121 0.162 start 28 21
## 2056 0.1162005 109.1121 0.162 mif1 28 21
## 2057 0.1162005 109.1121 0.162 start 29 21
## 2058 0.1162005 109.1121 0.162 mif1 29 21
## 2059 0.1162005 109.1121 0.162 start 30 21
## 2060 0.1162005 109.1121 0.162 mif1 30 21
## 2061 0.1162005 109.1121 0.162 start 31 21
## 2062 0.1162005 109.1121 0.162 mif1 31 21
## 2063 0.1162005 109.1121 0.162 start 32 21
## 2064 0.1162005 109.1121 0.162 mif1 32 21
## 2065 0.1162005 109.1121 0.162 start 33 21
## 2066 0.1162005 109.1121 0.162 mif1 33 21
## 2067 0.1162005 109.1121 0.162 start 34 21
## 2068 0.1162005 109.1121 0.162 mif1 34 21
## 2069 0.1162005 109.1121 0.162 start 35 21
## 2070 0.1162005 109.1121 0.162 mif1 35 21
## 2071 0.1162005 109.1121 0.162 start 36 21
## 2072 0.1162005 109.1121 0.162 mif1 36 21
## 2073 0.1162005 109.1121 0.162 start 37 21
## 2074 0.1162005 109.1121 0.162 mif1 37 21
## 2075 0.1162005 109.1121 0.162 start 38 21
## 2076 0.1162005 109.1121 0.162 mif1 38 21
## 2077 0.1162005 109.1121 0.162 start 39 21
## 2078 0.1162005 109.1121 0.162 mif1 39 21
## 2079 0.1162005 109.1121 0.162 start 40 21
## 2080 0.1162005 109.1121 0.162 mif1 40 21
## 2081 0.1162005 109.1121 0.162 start 41 21
## 2082 0.1162005 109.1121 0.162 mif1 41 21
## 2083 0.1162005 109.1121 0.162 start 42 21
## 2084 0.1162005 109.1121 0.162 mif1 42 21
## 2085 0.1162005 109.1121 0.162 start 43 21
## 2086 0.1162005 109.1121 0.162 mif1 43 21
## 2087 0.1162005 109.1121 0.162 start 44 21
## 2088 0.1162005 109.1121 0.162 mif1 44 21
## 2089 0.1162005 109.1121 0.162 start 45 21
## 2090 0.1162005 109.1121 0.162 mif1 45 21
## 2091 0.1162005 109.1121 0.162 start 46 21
## 2092 0.1162005 109.1121 0.162 mif1 46 21
## 2093 0.1162005 109.1121 0.162 start 47 21
## 2094 0.1162005 109.1121 0.162 mif1 47 21
## 2095 0.1162005 109.1121 0.162 start 48 21
## 2096 0.1162005 109.1121 0.162 mif1 48 21
## 2097 0.1162005 109.1121 0.162 start 49 21
## 2098 0.1162005 109.1121 0.162 mif1 49 21
## 2099 0.1162005 109.1121 0.162 start 50 21
## 2100 0.1162005 109.1121 0.162 mif1 50 21
## 2101 0.1162005 109.1121 0.162 start 1 22
## 2102 0.1162005 109.1121 0.162 mif1 1 22
## 2103 0.1162005 109.1121 0.162 start 2 22
## 2104 0.1162005 109.1121 0.162 mif1 2 22
## 2105 0.1162005 109.1121 0.162 start 3 22
## 2106 0.1162005 109.1121 0.162 mif1 3 22
## 2107 0.1162005 109.1121 0.162 start 4 22
## 2108 0.1162005 109.1121 0.162 mif1 4 22
## 2109 0.1162005 109.1121 0.162 start 5 22
## 2110 0.1162005 109.1121 0.162 mif1 5 22
## 2111 0.1162005 109.1121 0.162 start 6 22
## 2112 0.1162005 109.1121 0.162 mif1 6 22
## 2113 0.1162005 109.1121 0.162 start 7 22
## 2114 0.1162005 109.1121 0.162 mif1 7 22
## 2115 0.1162005 109.1121 0.162 start 8 22
## 2116 0.1162005 109.1121 0.162 mif1 8 22
## 2117 0.1162005 109.1121 0.162 start 9 22
## 2118 0.1162005 109.1121 0.162 mif1 9 22
## 2119 0.1162005 109.1121 0.162 start 10 22
## 2120 0.1162005 109.1121 0.162 mif1 10 22
## 2121 0.1162005 109.1121 0.162 start 11 22
## 2122 0.1162005 109.1121 0.162 mif1 11 22
## 2123 0.1162005 109.1121 0.162 start 12 22
## 2124 0.1162005 109.1121 0.162 mif1 12 22
## 2125 0.1162005 109.1121 0.162 start 13 22
## 2126 0.1162005 109.1121 0.162 mif1 13 22
## 2127 0.1162005 109.1121 0.162 start 14 22
## 2128 0.1162005 109.1121 0.162 mif1 14 22
## 2129 0.1162005 109.1121 0.162 start 15 22
## 2130 0.1162005 109.1121 0.162 mif1 15 22
## 2131 0.1162005 109.1121 0.162 start 16 22
## 2132 0.1162005 109.1121 0.162 mif1 16 22
## 2133 0.1162005 109.1121 0.162 start 17 22
## 2134 0.1162005 109.1121 0.162 mif1 17 22
## 2135 0.1162005 109.1121 0.162 start 18 22
## 2136 0.1162005 109.1121 0.162 mif1 18 22
## 2137 0.1162005 109.1121 0.162 start 19 22
## 2138 0.1162005 109.1121 0.162 mif1 19 22
## 2139 0.1162005 109.1121 0.162 start 20 22
## 2140 0.1162005 109.1121 0.162 mif1 20 22
## 2141 0.1162005 109.1121 0.162 start 21 22
## 2142 0.1162005 109.1121 0.162 mif1 21 22
## 2143 0.1162005 109.1121 0.162 start 22 22
## 2144 0.1162005 109.1121 0.162 mif1 22 22
## 2145 0.1162005 109.1121 0.162 start 23 22
## 2146 0.1162005 109.1121 0.162 mif1 23 22
## 2147 0.1162005 109.1121 0.162 start 24 22
## 2148 0.1162005 109.1121 0.162 mif1 24 22
## 2149 0.1162005 109.1121 0.162 start 25 22
## 2150 0.1162005 109.1121 0.162 mif1 25 22
## 2151 0.1162005 109.1121 0.162 start 26 22
## 2152 0.1162005 109.1121 0.162 mif1 26 22
## 2153 0.1162005 109.1121 0.162 start 27 22
## 2154 0.1162005 109.1121 0.162 mif1 27 22
## 2155 0.1162005 109.1121 0.162 start 28 22
## 2156 0.1162005 109.1121 0.162 mif1 28 22
## 2157 0.1162005 109.1121 0.162 start 29 22
## 2158 0.1162005 109.1121 0.162 mif1 29 22
## 2159 0.1162005 109.1121 0.162 start 30 22
## 2160 0.1162005 109.1121 0.162 mif1 30 22
## 2161 0.1162005 109.1121 0.162 start 31 22
## 2162 0.1162005 109.1121 0.162 mif1 31 22
## 2163 0.1162005 109.1121 0.162 start 32 22
## 2164 0.1162005 109.1121 0.162 mif1 32 22
## 2165 0.1162005 109.1121 0.162 start 33 22
## 2166 0.1162005 109.1121 0.162 mif1 33 22
## 2167 0.1162005 109.1121 0.162 start 34 22
## 2168 0.1162005 109.1121 0.162 mif1 34 22
## 2169 0.1162005 109.1121 0.162 start 35 22
## 2170 0.1162005 109.1121 0.162 mif1 35 22
## 2171 0.1162005 109.1121 0.162 start 36 22
## 2172 0.1162005 109.1121 0.162 mif1 36 22
## 2173 0.1162005 109.1121 0.162 start 37 22
## 2174 0.1162005 109.1121 0.162 mif1 37 22
## 2175 0.1162005 109.1121 0.162 start 38 22
## 2176 0.1162005 109.1121 0.162 mif1 38 22
## 2177 0.1162005 109.1121 0.162 start 39 22
## 2178 0.1162005 109.1121 0.162 mif1 39 22
## 2179 0.1162005 109.1121 0.162 start 40 22
## 2180 0.1162005 109.1121 0.162 mif1 40 22
## 2181 0.1162005 109.1121 0.162 start 41 22
## 2182 0.1162005 109.1121 0.162 mif1 41 22
## 2183 0.1162005 109.1121 0.162 start 42 22
## 2184 0.1162005 109.1121 0.162 mif1 42 22
## 2185 0.1162005 109.1121 0.162 start 43 22
## 2186 0.1162005 109.1121 0.162 mif1 43 22
## 2187 0.1162005 109.1121 0.162 start 44 22
## 2188 0.1162005 109.1121 0.162 mif1 44 22
## 2189 0.1162005 109.1121 0.162 start 45 22
## 2190 0.1162005 109.1121 0.162 mif1 45 22
## 2191 0.1162005 109.1121 0.162 start 46 22
## 2192 0.1162005 109.1121 0.162 mif1 46 22
## 2193 0.1162005 109.1121 0.162 start 47 22
## 2194 0.1162005 109.1121 0.162 mif1 47 22
## 2195 0.1162005 109.1121 0.162 start 48 22
## 2196 0.1162005 109.1121 0.162 mif1 48 22
## 2197 0.1162005 109.1121 0.162 start 49 22
## 2198 0.1162005 109.1121 0.162 mif1 49 22
## 2199 0.1162005 109.1121 0.162 start 50 22
## 2200 0.1162005 109.1121 0.162 mif1 50 22
## 2201 0.1162005 109.1121 0.162 start 1 23
## 2202 0.1162005 109.1121 0.162 mif1 1 23
## 2203 0.1162005 109.1121 0.162 start 2 23
## 2204 0.1162005 109.1121 0.162 mif1 2 23
## 2205 0.1162005 109.1121 0.162 start 3 23
## 2206 0.1162005 109.1121 0.162 mif1 3 23
## 2207 0.1162005 109.1121 0.162 start 4 23
## 2208 0.1162005 109.1121 0.162 mif1 4 23
## 2209 0.1162005 109.1121 0.162 start 5 23
## 2210 0.1162005 109.1121 0.162 mif1 5 23
## 2211 0.1162005 109.1121 0.162 start 6 23
## 2212 0.1162005 109.1121 0.162 mif1 6 23
## 2213 0.1162005 109.1121 0.162 start 7 23
## 2214 0.1162005 109.1121 0.162 mif1 7 23
## 2215 0.1162005 109.1121 0.162 start 8 23
## 2216 0.1162005 109.1121 0.162 mif1 8 23
## 2217 0.1162005 109.1121 0.162 start 9 23
## 2218 0.1162005 109.1121 0.162 mif1 9 23
## 2219 0.1162005 109.1121 0.162 start 10 23
## 2220 0.1162005 109.1121 0.162 mif1 10 23
## 2221 0.1162005 109.1121 0.162 start 11 23
## 2222 0.1162005 109.1121 0.162 mif1 11 23
## 2223 0.1162005 109.1121 0.162 start 12 23
## 2224 0.1162005 109.1121 0.162 mif1 12 23
## 2225 0.1162005 109.1121 0.162 start 13 23
## 2226 0.1162005 109.1121 0.162 mif1 13 23
## 2227 0.1162005 109.1121 0.162 start 14 23
## 2228 0.1162005 109.1121 0.162 mif1 14 23
## 2229 0.1162005 109.1121 0.162 start 15 23
## 2230 0.1162005 109.1121 0.162 mif1 15 23
## 2231 0.1162005 109.1121 0.162 start 16 23
## 2232 0.1162005 109.1121 0.162 mif1 16 23
## 2233 0.1162005 109.1121 0.162 start 17 23
## 2234 0.1162005 109.1121 0.162 mif1 17 23
## 2235 0.1162005 109.1121 0.162 start 18 23
## 2236 0.1162005 109.1121 0.162 mif1 18 23
## 2237 0.1162005 109.1121 0.162 start 19 23
## 2238 0.1162005 109.1121 0.162 mif1 19 23
## 2239 0.1162005 109.1121 0.162 start 20 23
## 2240 0.1162005 109.1121 0.162 mif1 20 23
## 2241 0.1162005 109.1121 0.162 start 21 23
## 2242 0.1162005 109.1121 0.162 mif1 21 23
## 2243 0.1162005 109.1121 0.162 start 22 23
## 2244 0.1162005 109.1121 0.162 mif1 22 23
## 2245 0.1162005 109.1121 0.162 start 23 23
## 2246 0.1162005 109.1121 0.162 mif1 23 23
## 2247 0.1162005 109.1121 0.162 start 24 23
## 2248 0.1162005 109.1121 0.162 mif1 24 23
## 2249 0.1162005 109.1121 0.162 start 25 23
## 2250 0.1162005 109.1121 0.162 mif1 25 23
## 2251 0.1162005 109.1121 0.162 start 26 23
## 2252 0.1162005 109.1121 0.162 mif1 26 23
## 2253 0.1162005 109.1121 0.162 start 27 23
## 2254 0.1162005 109.1121 0.162 mif1 27 23
## 2255 0.1162005 109.1121 0.162 start 28 23
## 2256 0.1162005 109.1121 0.162 mif1 28 23
## 2257 0.1162005 109.1121 0.162 start 29 23
## 2258 0.1162005 109.1121 0.162 mif1 29 23
## 2259 0.1162005 109.1121 0.162 start 30 23
## 2260 0.1162005 109.1121 0.162 mif1 30 23
## 2261 0.1162005 109.1121 0.162 start 31 23
## 2262 0.1162005 109.1121 0.162 mif1 31 23
## 2263 0.1162005 109.1121 0.162 start 32 23
## 2264 0.1162005 109.1121 0.162 mif1 32 23
## 2265 0.1162005 109.1121 0.162 start 33 23
## 2266 0.1162005 109.1121 0.162 mif1 33 23
## 2267 0.1162005 109.1121 0.162 start 34 23
## 2268 0.1162005 109.1121 0.162 mif1 34 23
## 2269 0.1162005 109.1121 0.162 start 35 23
## 2270 0.1162005 109.1121 0.162 mif1 35 23
## 2271 0.1162005 109.1121 0.162 start 36 23
## 2272 0.1162005 109.1121 0.162 mif1 36 23
## 2273 0.1162005 109.1121 0.162 start 37 23
## 2274 0.1162005 109.1121 0.162 mif1 37 23
## 2275 0.1162005 109.1121 0.162 start 38 23
## 2276 0.1162005 109.1121 0.162 mif1 38 23
## 2277 0.1162005 109.1121 0.162 start 39 23
## 2278 0.1162005 109.1121 0.162 mif1 39 23
## 2279 0.1162005 109.1121 0.162 start 40 23
## 2280 0.1162005 109.1121 0.162 mif1 40 23
## 2281 0.1162005 109.1121 0.162 start 41 23
## 2282 0.1162005 109.1121 0.162 mif1 41 23
## 2283 0.1162005 109.1121 0.162 start 42 23
## 2284 0.1162005 109.1121 0.162 mif1 42 23
## 2285 0.1162005 109.1121 0.162 start 43 23
## 2286 0.1162005 109.1121 0.162 mif1 43 23
## 2287 0.1162005 109.1121 0.162 start 44 23
## 2288 0.1162005 109.1121 0.162 mif1 44 23
## 2289 0.1162005 109.1121 0.162 start 45 23
## 2290 0.1162005 109.1121 0.162 mif1 45 23
## 2291 0.1162005 109.1121 0.162 start 46 23
## 2292 0.1162005 109.1121 0.162 mif1 46 23
## 2293 0.1162005 109.1121 0.162 start 47 23
## 2294 0.1162005 109.1121 0.162 mif1 47 23
## 2295 0.1162005 109.1121 0.162 start 48 23
## 2296 0.1162005 109.1121 0.162 mif1 48 23
## 2297 0.1162005 109.1121 0.162 start 49 23
## 2298 0.1162005 109.1121 0.162 mif1 49 23
## 2299 0.1162005 109.1121 0.162 start 50 23
## 2300 0.1162005 109.1121 0.162 mif1 50 23
## 2301 0.1162005 109.1121 0.162 start 1 24
## 2302 0.1162005 109.1121 0.162 mif1 1 24
## 2303 0.1162005 109.1121 0.162 start 2 24
## 2304 0.1162005 109.1121 0.162 mif1 2 24
## 2305 0.1162005 109.1121 0.162 start 3 24
## 2306 0.1162005 109.1121 0.162 mif1 3 24
## 2307 0.1162005 109.1121 0.162 start 4 24
## 2308 0.1162005 109.1121 0.162 mif1 4 24
## 2309 0.1162005 109.1121 0.162 start 5 24
## 2310 0.1162005 109.1121 0.162 mif1 5 24
## 2311 0.1162005 109.1121 0.162 start 6 24
## 2312 0.1162005 109.1121 0.162 mif1 6 24
## 2313 0.1162005 109.1121 0.162 start 7 24
## 2314 0.1162005 109.1121 0.162 mif1 7 24
## 2315 0.1162005 109.1121 0.162 start 8 24
## 2316 0.1162005 109.1121 0.162 mif1 8 24
## 2317 0.1162005 109.1121 0.162 start 9 24
## 2318 0.1162005 109.1121 0.162 mif1 9 24
## 2319 0.1162005 109.1121 0.162 start 10 24
## 2320 0.1162005 109.1121 0.162 mif1 10 24
## 2321 0.1162005 109.1121 0.162 start 11 24
## 2322 0.1162005 109.1121 0.162 mif1 11 24
## 2323 0.1162005 109.1121 0.162 start 12 24
## 2324 0.1162005 109.1121 0.162 mif1 12 24
## 2325 0.1162005 109.1121 0.162 start 13 24
## 2326 0.1162005 109.1121 0.162 mif1 13 24
## 2327 0.1162005 109.1121 0.162 start 14 24
## 2328 0.1162005 109.1121 0.162 mif1 14 24
## 2329 0.1162005 109.1121 0.162 start 15 24
## 2330 0.1162005 109.1121 0.162 mif1 15 24
## 2331 0.1162005 109.1121 0.162 start 16 24
## 2332 0.1162005 109.1121 0.162 mif1 16 24
## 2333 0.1162005 109.1121 0.162 start 17 24
## 2334 0.1162005 109.1121 0.162 mif1 17 24
## 2335 0.1162005 109.1121 0.162 start 18 24
## 2336 0.1162005 109.1121 0.162 mif1 18 24
## 2337 0.1162005 109.1121 0.162 start 19 24
## 2338 0.1162005 109.1121 0.162 mif1 19 24
## 2339 0.1162005 109.1121 0.162 start 20 24
## 2340 0.1162005 109.1121 0.162 mif1 20 24
## 2341 0.1162005 109.1121 0.162 start 21 24
## 2342 0.1162005 109.1121 0.162 mif1 21 24
## 2343 0.1162005 109.1121 0.162 start 22 24
## 2344 0.1162005 109.1121 0.162 mif1 22 24
## 2345 0.1162005 109.1121 0.162 start 23 24
## 2346 0.1162005 109.1121 0.162 mif1 23 24
## 2347 0.1162005 109.1121 0.162 start 24 24
## 2348 0.1162005 109.1121 0.162 mif1 24 24
## 2349 0.1162005 109.1121 0.162 start 25 24
## 2350 0.1162005 109.1121 0.162 mif1 25 24
## 2351 0.1162005 109.1121 0.162 start 26 24
## 2352 0.1162005 109.1121 0.162 mif1 26 24
## 2353 0.1162005 109.1121 0.162 start 27 24
## 2354 0.1162005 109.1121 0.162 mif1 27 24
## 2355 0.1162005 109.1121 0.162 start 28 24
## 2356 0.1162005 109.1121 0.162 mif1 28 24
## 2357 0.1162005 109.1121 0.162 start 29 24
## 2358 0.1162005 109.1121 0.162 mif1 29 24
## 2359 0.1162005 109.1121 0.162 start 30 24
## 2360 0.1162005 109.1121 0.162 mif1 30 24
## 2361 0.1162005 109.1121 0.162 start 31 24
## 2362 0.1162005 109.1121 0.162 mif1 31 24
## 2363 0.1162005 109.1121 0.162 start 32 24
## 2364 0.1162005 109.1121 0.162 mif1 32 24
## 2365 0.1162005 109.1121 0.162 start 33 24
## 2366 0.1162005 109.1121 0.162 mif1 33 24
## 2367 0.1162005 109.1121 0.162 start 34 24
## 2368 0.1162005 109.1121 0.162 mif1 34 24
## 2369 0.1162005 109.1121 0.162 start 35 24
## 2370 0.1162005 109.1121 0.162 mif1 35 24
## 2371 0.1162005 109.1121 0.162 start 36 24
## 2372 0.1162005 109.1121 0.162 mif1 36 24
## 2373 0.1162005 109.1121 0.162 start 37 24
## 2374 0.1162005 109.1121 0.162 mif1 37 24
## 2375 0.1162005 109.1121 0.162 start 38 24
## 2376 0.1162005 109.1121 0.162 mif1 38 24
## 2377 0.1162005 109.1121 0.162 start 39 24
## 2378 0.1162005 109.1121 0.162 mif1 39 24
## 2379 0.1162005 109.1121 0.162 start 40 24
## 2380 0.1162005 109.1121 0.162 mif1 40 24
## 2381 0.1162005 109.1121 0.162 start 41 24
## 2382 0.1162005 109.1121 0.162 mif1 41 24
## 2383 0.1162005 109.1121 0.162 start 42 24
## 2384 0.1162005 109.1121 0.162 mif1 42 24
## 2385 0.1162005 109.1121 0.162 start 43 24
## 2386 0.1162005 109.1121 0.162 mif1 43 24
## 2387 0.1162005 109.1121 0.162 start 44 24
## 2388 0.1162005 109.1121 0.162 mif1 44 24
## 2389 0.1162005 109.1121 0.162 start 45 24
## 2390 0.1162005 109.1121 0.162 mif1 45 24
## 2391 0.1162005 109.1121 0.162 start 46 24
## 2392 0.1162005 109.1121 0.162 mif1 46 24
## 2393 0.1162005 109.1121 0.162 start 47 24
## 2394 0.1162005 109.1121 0.162 mif1 47 24
## 2395 0.1162005 109.1121 0.162 start 48 24
## 2396 0.1162005 109.1121 0.162 mif1 48 24
## 2397 0.1162005 109.1121 0.162 start 49 24
## 2398 0.1162005 109.1121 0.162 mif1 49 24
## 2399 0.1162005 109.1121 0.162 start 50 24
## 2400 0.1162005 109.1121 0.162 mif1 50 24
## 2401 0.1162005 109.1121 0.162 start 1 25
## 2402 0.1162005 109.1121 0.162 mif1 1 25
## 2403 0.1162005 109.1121 0.162 start 2 25
## 2404 0.1162005 109.1121 0.162 mif1 2 25
## 2405 0.1162005 109.1121 0.162 start 3 25
## 2406 0.1162005 109.1121 0.162 mif1 3 25
## 2407 0.1162005 109.1121 0.162 start 4 25
## 2408 0.1162005 109.1121 0.162 mif1 4 25
## 2409 0.1162005 109.1121 0.162 start 5 25
## 2410 0.1162005 109.1121 0.162 mif1 5 25
## 2411 0.1162005 109.1121 0.162 start 6 25
## 2412 0.1162005 109.1121 0.162 mif1 6 25
## 2413 0.1162005 109.1121 0.162 start 7 25
## 2414 0.1162005 109.1121 0.162 mif1 7 25
## 2415 0.1162005 109.1121 0.162 start 8 25
## 2416 0.1162005 109.1121 0.162 mif1 8 25
## 2417 0.1162005 109.1121 0.162 start 9 25
## 2418 0.1162005 109.1121 0.162 mif1 9 25
## 2419 0.1162005 109.1121 0.162 start 10 25
## 2420 0.1162005 109.1121 0.162 mif1 10 25
## 2421 0.1162005 109.1121 0.162 start 11 25
## 2422 0.1162005 109.1121 0.162 mif1 11 25
## 2423 0.1162005 109.1121 0.162 start 12 25
## 2424 0.1162005 109.1121 0.162 mif1 12 25
## 2425 0.1162005 109.1121 0.162 start 13 25
## 2426 0.1162005 109.1121 0.162 mif1 13 25
## 2427 0.1162005 109.1121 0.162 start 14 25
## 2428 0.1162005 109.1121 0.162 mif1 14 25
## 2429 0.1162005 109.1121 0.162 start 15 25
## 2430 0.1162005 109.1121 0.162 mif1 15 25
## 2431 0.1162005 109.1121 0.162 start 16 25
## 2432 0.1162005 109.1121 0.162 mif1 16 25
## 2433 0.1162005 109.1121 0.162 start 17 25
## 2434 0.1162005 109.1121 0.162 mif1 17 25
## 2435 0.1162005 109.1121 0.162 start 18 25
## 2436 0.1162005 109.1121 0.162 mif1 18 25
## 2437 0.1162005 109.1121 0.162 start 19 25
## 2438 0.1162005 109.1121 0.162 mif1 19 25
## 2439 0.1162005 109.1121 0.162 start 20 25
## 2440 0.1162005 109.1121 0.162 mif1 20 25
## 2441 0.1162005 109.1121 0.162 start 21 25
## 2442 0.1162005 109.1121 0.162 mif1 21 25
## 2443 0.1162005 109.1121 0.162 start 22 25
## 2444 0.1162005 109.1121 0.162 mif1 22 25
## 2445 0.1162005 109.1121 0.162 start 23 25
## 2446 0.1162005 109.1121 0.162 mif1 23 25
## 2447 0.1162005 109.1121 0.162 start 24 25
## 2448 0.1162005 109.1121 0.162 mif1 24 25
## 2449 0.1162005 109.1121 0.162 start 25 25
## 2450 0.1162005 109.1121 0.162 mif1 25 25
## 2451 0.1162005 109.1121 0.162 start 26 25
## 2452 0.1162005 109.1121 0.162 mif1 26 25
## 2453 0.1162005 109.1121 0.162 start 27 25
## 2454 0.1162005 109.1121 0.162 mif1 27 25
## 2455 0.1162005 109.1121 0.162 start 28 25
## 2456 0.1162005 109.1121 0.162 mif1 28 25
## 2457 0.1162005 109.1121 0.162 start 29 25
## 2458 0.1162005 109.1121 0.162 mif1 29 25
## 2459 0.1162005 109.1121 0.162 start 30 25
## 2460 0.1162005 109.1121 0.162 mif1 30 25
## 2461 0.1162005 109.1121 0.162 start 31 25
## 2462 0.1162005 109.1121 0.162 mif1 31 25
## 2463 0.1162005 109.1121 0.162 start 32 25
## 2464 0.1162005 109.1121 0.162 mif1 32 25
## 2465 0.1162005 109.1121 0.162 start 33 25
## 2466 0.1162005 109.1121 0.162 mif1 33 25
## 2467 0.1162005 109.1121 0.162 start 34 25
## 2468 0.1162005 109.1121 0.162 mif1 34 25
## 2469 0.1162005 109.1121 0.162 start 35 25
## 2470 0.1162005 109.1121 0.162 mif1 35 25
## 2471 0.1162005 109.1121 0.162 start 36 25
## 2472 0.1162005 109.1121 0.162 mif1 36 25
## 2473 0.1162005 109.1121 0.162 start 37 25
## 2474 0.1162005 109.1121 0.162 mif1 37 25
## 2475 0.1162005 109.1121 0.162 start 38 25
## 2476 0.1162005 109.1121 0.162 mif1 38 25
## 2477 0.1162005 109.1121 0.162 start 39 25
## 2478 0.1162005 109.1121 0.162 mif1 39 25
## 2479 0.1162005 109.1121 0.162 start 40 25
## 2480 0.1162005 109.1121 0.162 mif1 40 25
## 2481 0.1162005 109.1121 0.162 start 41 25
## 2482 0.1162005 109.1121 0.162 mif1 41 25
## 2483 0.1162005 109.1121 0.162 start 42 25
## 2484 0.1162005 109.1121 0.162 mif1 42 25
## 2485 0.1162005 109.1121 0.162 start 43 25
## 2486 0.1162005 109.1121 0.162 mif1 43 25
## 2487 0.1162005 109.1121 0.162 start 44 25
## 2488 0.1162005 109.1121 0.162 mif1 44 25
## 2489 0.1162005 109.1121 0.162 start 45 25
## 2490 0.1162005 109.1121 0.162 mif1 45 25
## 2491 0.1162005 109.1121 0.162 start 46 25
## 2492 0.1162005 109.1121 0.162 mif1 46 25
## 2493 0.1162005 109.1121 0.162 start 47 25
## 2494 0.1162005 109.1121 0.162 mif1 47 25
## 2495 0.1162005 109.1121 0.162 start 48 25
## 2496 0.1162005 109.1121 0.162 mif1 48 25
## 2497 0.1162005 109.1121 0.162 start 49 25
## 2498 0.1162005 109.1121 0.162 mif1 49 25
## 2499 0.1162005 109.1121 0.162 start 50 25
## 2500 0.1162005 109.1121 0.162 mif1 50 25
## 2501 0.1162005 109.1121 0.162 start 1 26
## 2502 0.1162005 109.1121 0.162 mif1 1 26
## 2503 0.1162005 109.1121 0.162 start 2 26
## 2504 0.1162005 109.1121 0.162 mif1 2 26
## 2505 0.1162005 109.1121 0.162 start 3 26
## 2506 0.1162005 109.1121 0.162 mif1 3 26
## 2507 0.1162005 109.1121 0.162 start 4 26
## 2508 0.1162005 109.1121 0.162 mif1 4 26
## 2509 0.1162005 109.1121 0.162 start 5 26
## 2510 0.1162005 109.1121 0.162 mif1 5 26
## 2511 0.1162005 109.1121 0.162 start 6 26
## 2512 0.1162005 109.1121 0.162 mif1 6 26
## 2513 0.1162005 109.1121 0.162 start 7 26
## 2514 0.1162005 109.1121 0.162 mif1 7 26
## 2515 0.1162005 109.1121 0.162 start 8 26
## 2516 0.1162005 109.1121 0.162 mif1 8 26
## 2517 0.1162005 109.1121 0.162 start 9 26
## 2518 0.1162005 109.1121 0.162 mif1 9 26
## 2519 0.1162005 109.1121 0.162 start 10 26
## 2520 0.1162005 109.1121 0.162 mif1 10 26
## 2521 0.1162005 109.1121 0.162 start 11 26
## 2522 0.1162005 109.1121 0.162 mif1 11 26
## 2523 0.1162005 109.1121 0.162 start 12 26
## 2524 0.1162005 109.1121 0.162 mif1 12 26
## 2525 0.1162005 109.1121 0.162 start 13 26
## 2526 0.1162005 109.1121 0.162 mif1 13 26
## 2527 0.1162005 109.1121 0.162 start 14 26
## 2528 0.1162005 109.1121 0.162 mif1 14 26
## 2529 0.1162005 109.1121 0.162 start 15 26
## 2530 0.1162005 109.1121 0.162 mif1 15 26
## 2531 0.1162005 109.1121 0.162 start 16 26
## 2532 0.1162005 109.1121 0.162 mif1 16 26
## 2533 0.1162005 109.1121 0.162 start 17 26
## 2534 0.1162005 109.1121 0.162 mif1 17 26
## 2535 0.1162005 109.1121 0.162 start 18 26
## 2536 0.1162005 109.1121 0.162 mif1 18 26
## 2537 0.1162005 109.1121 0.162 start 19 26
## 2538 0.1162005 109.1121 0.162 mif1 19 26
## 2539 0.1162005 109.1121 0.162 start 20 26
## 2540 0.1162005 109.1121 0.162 mif1 20 26
## 2541 0.1162005 109.1121 0.162 start 21 26
## 2542 0.1162005 109.1121 0.162 mif1 21 26
## 2543 0.1162005 109.1121 0.162 start 22 26
## 2544 0.1162005 109.1121 0.162 mif1 22 26
## 2545 0.1162005 109.1121 0.162 start 23 26
## 2546 0.1162005 109.1121 0.162 mif1 23 26
## 2547 0.1162005 109.1121 0.162 start 24 26
## 2548 0.1162005 109.1121 0.162 mif1 24 26
## 2549 0.1162005 109.1121 0.162 start 25 26
## 2550 0.1162005 109.1121 0.162 mif1 25 26
## 2551 0.1162005 109.1121 0.162 start 26 26
## 2552 0.1162005 109.1121 0.162 mif1 26 26
## 2553 0.1162005 109.1121 0.162 start 27 26
## 2554 0.1162005 109.1121 0.162 mif1 27 26
## 2555 0.1162005 109.1121 0.162 start 28 26
## 2556 0.1162005 109.1121 0.162 mif1 28 26
## 2557 0.1162005 109.1121 0.162 start 29 26
## 2558 0.1162005 109.1121 0.162 mif1 29 26
## 2559 0.1162005 109.1121 0.162 start 30 26
## 2560 0.1162005 109.1121 0.162 mif1 30 26
## 2561 0.1162005 109.1121 0.162 start 31 26
## 2562 0.1162005 109.1121 0.162 mif1 31 26
## 2563 0.1162005 109.1121 0.162 start 32 26
## 2564 0.1162005 109.1121 0.162 mif1 32 26
## 2565 0.1162005 109.1121 0.162 start 33 26
## 2566 0.1162005 109.1121 0.162 mif1 33 26
## 2567 0.1162005 109.1121 0.162 start 34 26
## 2568 0.1162005 109.1121 0.162 mif1 34 26
## 2569 0.1162005 109.1121 0.162 start 35 26
## 2570 0.1162005 109.1121 0.162 mif1 35 26
## 2571 0.1162005 109.1121 0.162 start 36 26
## 2572 0.1162005 109.1121 0.162 mif1 36 26
## 2573 0.1162005 109.1121 0.162 start 37 26
## 2574 0.1162005 109.1121 0.162 mif1 37 26
## 2575 0.1162005 109.1121 0.162 start 38 26
## 2576 0.1162005 109.1121 0.162 mif1 38 26
## 2577 0.1162005 109.1121 0.162 start 39 26
## 2578 0.1162005 109.1121 0.162 mif1 39 26
## 2579 0.1162005 109.1121 0.162 start 40 26
## 2580 0.1162005 109.1121 0.162 mif1 40 26
## 2581 0.1162005 109.1121 0.162 start 41 26
## 2582 0.1162005 109.1121 0.162 mif1 41 26
## 2583 0.1162005 109.1121 0.162 start 42 26
## 2584 0.1162005 109.1121 0.162 mif1 42 26
## 2585 0.1162005 109.1121 0.162 start 43 26
## 2586 0.1162005 109.1121 0.162 mif1 43 26
## 2587 0.1162005 109.1121 0.162 start 44 26
## 2588 0.1162005 109.1121 0.162 mif1 44 26
## 2589 0.1162005 109.1121 0.162 start 45 26
## 2590 0.1162005 109.1121 0.162 mif1 45 26
## 2591 0.1162005 109.1121 0.162 start 46 26
## 2592 0.1162005 109.1121 0.162 mif1 46 26
## 2593 0.1162005 109.1121 0.162 start 47 26
## 2594 0.1162005 109.1121 0.162 mif1 47 26
## 2595 0.1162005 109.1121 0.162 start 48 26
## 2596 0.1162005 109.1121 0.162 mif1 48 26
## 2597 0.1162005 109.1121 0.162 start 49 26
## 2598 0.1162005 109.1121 0.162 mif1 49 26
## 2599 0.1162005 109.1121 0.162 start 50 26
## 2600 0.1162005 109.1121 0.162 mif1 50 26
## 2601 0.1162005 109.1121 0.162 start 1 27
## 2602 0.1162005 109.1121 0.162 mif1 1 27
## 2603 0.1162005 109.1121 0.162 start 2 27
## 2604 0.1162005 109.1121 0.162 mif1 2 27
## 2605 0.1162005 109.1121 0.162 start 3 27
## 2606 0.1162005 109.1121 0.162 mif1 3 27
## 2607 0.1162005 109.1121 0.162 start 4 27
## 2608 0.1162005 109.1121 0.162 mif1 4 27
## 2609 0.1162005 109.1121 0.162 start 5 27
## 2610 0.1162005 109.1121 0.162 mif1 5 27
## 2611 0.1162005 109.1121 0.162 start 6 27
## 2612 0.1162005 109.1121 0.162 mif1 6 27
## 2613 0.1162005 109.1121 0.162 start 7 27
## 2614 0.1162005 109.1121 0.162 mif1 7 27
## 2615 0.1162005 109.1121 0.162 start 8 27
## 2616 0.1162005 109.1121 0.162 mif1 8 27
## 2617 0.1162005 109.1121 0.162 start 9 27
## 2618 0.1162005 109.1121 0.162 mif1 9 27
## 2619 0.1162005 109.1121 0.162 start 10 27
## 2620 0.1162005 109.1121 0.162 mif1 10 27
## 2621 0.1162005 109.1121 0.162 start 11 27
## 2622 0.1162005 109.1121 0.162 mif1 11 27
## 2623 0.1162005 109.1121 0.162 start 12 27
## 2624 0.1162005 109.1121 0.162 mif1 12 27
## 2625 0.1162005 109.1121 0.162 start 13 27
## 2626 0.1162005 109.1121 0.162 mif1 13 27
## 2627 0.1162005 109.1121 0.162 start 14 27
## 2628 0.1162005 109.1121 0.162 mif1 14 27
## 2629 0.1162005 109.1121 0.162 start 15 27
## 2630 0.1162005 109.1121 0.162 mif1 15 27
## 2631 0.1162005 109.1121 0.162 start 16 27
## 2632 0.1162005 109.1121 0.162 mif1 16 27
## 2633 0.1162005 109.1121 0.162 start 17 27
## 2634 0.1162005 109.1121 0.162 mif1 17 27
## 2635 0.1162005 109.1121 0.162 start 18 27
## 2636 0.1162005 109.1121 0.162 mif1 18 27
## 2637 0.1162005 109.1121 0.162 start 19 27
## 2638 0.1162005 109.1121 0.162 mif1 19 27
## 2639 0.1162005 109.1121 0.162 start 20 27
## 2640 0.1162005 109.1121 0.162 mif1 20 27
## 2641 0.1162005 109.1121 0.162 start 21 27
## 2642 0.1162005 109.1121 0.162 mif1 21 27
## 2643 0.1162005 109.1121 0.162 start 22 27
## 2644 0.1162005 109.1121 0.162 mif1 22 27
## 2645 0.1162005 109.1121 0.162 start 23 27
## 2646 0.1162005 109.1121 0.162 mif1 23 27
## 2647 0.1162005 109.1121 0.162 start 24 27
## 2648 0.1162005 109.1121 0.162 mif1 24 27
## 2649 0.1162005 109.1121 0.162 start 25 27
## 2650 0.1162005 109.1121 0.162 mif1 25 27
## 2651 0.1162005 109.1121 0.162 start 26 27
## 2652 0.1162005 109.1121 0.162 mif1 26 27
## 2653 0.1162005 109.1121 0.162 start 27 27
## 2654 0.1162005 109.1121 0.162 mif1 27 27
## 2655 0.1162005 109.1121 0.162 start 28 27
## 2656 0.1162005 109.1121 0.162 mif1 28 27
## 2657 0.1162005 109.1121 0.162 start 29 27
## 2658 0.1162005 109.1121 0.162 mif1 29 27
## 2659 0.1162005 109.1121 0.162 start 30 27
## 2660 0.1162005 109.1121 0.162 mif1 30 27
## 2661 0.1162005 109.1121 0.162 start 31 27
## 2662 0.1162005 109.1121 0.162 mif1 31 27
## 2663 0.1162005 109.1121 0.162 start 32 27
## 2664 0.1162005 109.1121 0.162 mif1 32 27
## 2665 0.1162005 109.1121 0.162 start 33 27
## 2666 0.1162005 109.1121 0.162 mif1 33 27
## 2667 0.1162005 109.1121 0.162 start 34 27
## 2668 0.1162005 109.1121 0.162 mif1 34 27
## 2669 0.1162005 109.1121 0.162 start 35 27
## 2670 0.1162005 109.1121 0.162 mif1 35 27
## 2671 0.1162005 109.1121 0.162 start 36 27
## 2672 0.1162005 109.1121 0.162 mif1 36 27
## 2673 0.1162005 109.1121 0.162 start 37 27
## 2674 0.1162005 109.1121 0.162 mif1 37 27
## 2675 0.1162005 109.1121 0.162 start 38 27
## 2676 0.1162005 109.1121 0.162 mif1 38 27
## 2677 0.1162005 109.1121 0.162 start 39 27
## 2678 0.1162005 109.1121 0.162 mif1 39 27
## 2679 0.1162005 109.1121 0.162 start 40 27
## 2680 0.1162005 109.1121 0.162 mif1 40 27
## 2681 0.1162005 109.1121 0.162 start 41 27
## 2682 0.1162005 109.1121 0.162 mif1 41 27
## 2683 0.1162005 109.1121 0.162 start 42 27
## 2684 0.1162005 109.1121 0.162 mif1 42 27
## 2685 0.1162005 109.1121 0.162 start 43 27
## 2686 0.1162005 109.1121 0.162 mif1 43 27
## 2687 0.1162005 109.1121 0.162 start 44 27
## 2688 0.1162005 109.1121 0.162 mif1 44 27
## 2689 0.1162005 109.1121 0.162 start 45 27
## 2690 0.1162005 109.1121 0.162 mif1 45 27
## 2691 0.1162005 109.1121 0.162 start 46 27
## 2692 0.1162005 109.1121 0.162 mif1 46 27
## 2693 0.1162005 109.1121 0.162 start 47 27
## 2694 0.1162005 109.1121 0.162 mif1 47 27
## 2695 0.1162005 109.1121 0.162 start 48 27
## 2696 0.1162005 109.1121 0.162 mif1 48 27
## 2697 0.1162005 109.1121 0.162 start 49 27
## 2698 0.1162005 109.1121 0.162 mif1 49 27
## 2699 0.1162005 109.1121 0.162 start 50 27
## 2700 0.1162005 109.1121 0.162 mif1 50 27
## 2701 0.1162005 109.1121 0.162 start 1 28
## 2702 0.1162005 109.1121 0.162 mif1 1 28
## loglik nfail trace_num loglist.se
## 1 NA NA NA NA
## 2 -645.8693 NA NA 1.297825e-02
## 3 NA NA NA NA
## 4 -629.8487 NA NA 7.197377e-03
## 5 NA NA NA NA
## 6 -629.9411 NA NA 5.469438e-03
## 7 NA NA NA NA
## 8 -629.6711 NA NA 8.664239e-03
## 9 NA NA NA NA
## 10 -634.4595 NA NA 7.125204e-03
## 11 NA NA NA NA
## 12 -640.7604 NA NA 1.931990e-02
## 13 NA NA NA NA
## 14 -640.6065 NA NA 6.761964e-03
## 15 NA NA NA NA
## 16 -641.1241 NA NA 1.441123e-02
## 17 NA NA NA NA
## 18 -629.9618 NA NA 9.767994e-03
## 19 NA NA NA NA
## 20 -645.0783 NA NA 1.494215e-02
## 21 NA NA NA NA
## 22 -629.8396 NA NA 8.395310e-03
## 23 NA NA NA NA
## 24 -634.9960 NA NA 1.440516e-02
## 25 NA NA NA NA
## 26 -637.6743 NA NA 6.758350e-03
## 27 NA NA NA NA
## 28 -631.4437 NA NA 8.901106e-03
## 29 NA NA NA NA
## 30 -630.1972 NA NA 8.197142e-03
## 31 NA NA NA NA
## 32 -629.6233 NA NA 8.303739e-03
## 33 NA NA NA NA
## 34 -631.0268 NA NA 1.003436e-02
## 35 NA NA NA NA
## 36 -633.1341 NA NA 1.790515e-02
## 37 NA NA NA NA
## 38 -699.2459 NA NA 4.192584e-03
## 39 NA NA NA NA
## 40 -630.0614 NA NA 1.074043e-02
## 41 NA NA NA NA
## 42 -644.8597 NA NA 1.239993e-02
## 43 NA NA NA NA
## 44 -629.5669 NA NA 4.679847e-03
## 45 NA NA NA NA
## 46 -629.8744 NA NA 1.142654e-02
## 47 NA NA NA NA
## 48 -631.6062 NA NA 1.344289e-02
## 49 NA NA NA NA
## 50 -629.4924 NA NA 8.104643e-03
## 51 NA NA NA NA
## 52 -629.3014 NA NA 6.172689e-03
## 53 NA NA NA NA
## 54 -630.7703 NA NA 7.475242e-03
## 55 NA NA NA NA
## 56 -635.1168 NA NA 7.945394e-03
## 57 NA NA NA NA
## 58 -631.4950 NA NA 1.365033e-02
## 59 NA NA NA NA
## 60 -630.1765 NA NA 1.308114e-02
## 61 NA NA NA NA
## 62 -629.6462 NA NA 9.175429e-03
## 63 NA NA NA NA
## 64 -644.4658 NA NA 1.093329e-02
## 65 NA NA NA NA
## 66 -630.0421 NA NA 5.839959e-03
## 67 NA NA NA NA
## 68 -636.8965 NA NA 7.943769e-03
## 69 NA NA NA NA
## 70 -636.4800 NA NA 2.339404e-02
## 71 NA NA NA NA
## 72 -634.5699 NA NA 2.261839e-02
## 73 NA NA NA NA
## 74 -630.4241 NA NA 9.708231e-03
## 75 NA NA NA NA
## 76 -629.4500 NA NA 8.669627e-03
## 77 NA NA NA NA
## 78 -635.3659 NA NA 2.033173e-02
## 79 NA NA NA NA
## 80 -637.5418 NA NA 1.612031e-02
## 81 NA NA NA NA
## 82 -631.2666 NA NA 1.254850e-02
## 83 NA NA NA NA
## 84 -630.0600 NA NA 4.241075e-03
## 85 NA NA NA NA
## 86 -638.0758 NA NA 7.279125e-03
## 87 NA NA NA NA
## 88 -636.0906 NA NA 1.026080e-02
## 89 NA NA NA NA
## 90 -641.6807 NA NA 1.416558e-02
## 91 NA NA NA NA
## 92 -633.8099 NA NA 1.491236e-02
## 93 NA NA NA NA
## 94 -634.3849 NA NA 1.059150e-02
## 95 NA NA NA NA
## 96 -635.8198 NA NA 1.088917e-02
## 97 NA NA NA NA
## 98 -635.9341 NA NA 1.525811e-02
## 99 NA NA NA NA
## 100 -629.5694 NA NA 6.835238e-03
## 101 NA NA NA NA
## 102 -698.2213 NA NA 9.376954e-01
## 103 NA NA NA NA
## 104 -630.3162 NA NA 7.255508e-03
## 105 NA NA NA NA
## 106 -630.5526 NA NA 7.373610e-03
## 107 NA NA NA NA
## 108 -630.1599 NA NA 6.605474e-03
## 109 NA NA NA NA
## 110 -629.4756 NA NA 8.103167e-03
## 111 NA NA NA NA
## 112 -640.0592 NA NA 9.980755e-03
## 113 NA NA NA NA
## 114 -630.5388 NA NA 1.285422e-02
## 115 NA NA NA NA
## 116 -647.3131 NA NA 2.599187e-02
## 117 NA NA NA NA
## 118 -629.4586 NA NA 7.523985e-03
## 119 NA NA NA NA
## 120 -636.5137 NA NA 1.301908e-02
## 121 NA NA NA NA
## 122 -630.4057 NA NA 8.161761e-03
## 123 NA NA NA NA
## 124 -636.2955 NA NA 5.661108e-03
## 125 NA NA NA NA
## 126 -637.6076 NA NA 6.530057e-03
## 127 NA NA NA NA
## 128 -629.6975 NA NA 7.314263e-03
## 129 NA NA NA NA
## 130 -629.9603 NA NA 7.338347e-03
## 131 NA NA NA NA
## 132 -629.8766 NA NA 8.554965e-03
## 133 NA NA NA NA
## 134 -639.1087 NA NA 6.509960e-03
## 135 NA NA NA NA
## 136 -629.5761 NA NA 7.381083e-03
## 137 NA NA NA NA
## 138 -631.6854 NA NA 1.006845e-02
## 139 NA NA NA NA
## 140 -636.4406 NA NA 1.263742e-02
## 141 NA NA NA NA
## 142 -663.9224 NA NA 4.680941e-03
## 143 NA NA NA NA
## 144 -672.8349 NA NA 4.349706e-03
## 145 NA NA NA NA
## 146 -629.3445 NA NA 7.736649e-03
## 147 NA NA NA NA
## 148 -630.2742 NA NA 8.633567e-03
## 149 NA NA NA NA
## 150 -629.3751 NA NA 6.485819e-03
## 151 NA NA NA NA
## 152 -630.4967 NA NA 8.813147e-03
## 153 NA NA NA NA
## 154 -629.7978 NA NA 1.141206e-02
## 155 NA NA NA NA
## 156 -672.6682 NA NA 5.749927e-01
## 157 NA NA NA NA
## 158 -629.7671 NA NA 6.315696e-03
## 159 NA NA NA NA
## 160 -631.5633 NA NA 1.092467e-02
## 161 NA NA NA NA
## 162 -636.6986 NA NA 6.973283e-03
## 163 NA NA NA NA
## 164 -638.4735 NA NA 1.454266e-02
## 165 NA NA NA NA
## 166 -629.3932 NA NA 4.745733e-03
## 167 NA NA NA NA
## 168 -629.7706 NA NA 7.367228e-03
## 169 NA NA NA NA
## 170 -642.0270 NA NA 1.280738e-02
## 171 NA NA NA NA
## 172 -629.4364 NA NA 8.527114e-03
## 173 NA NA NA NA
## 174 -676.4046 NA NA 6.910716e-03
## 175 NA NA NA NA
## 176 -638.2976 NA NA 1.161575e-02
## 177 NA NA NA NA
## 178 -640.6919 NA NA 1.139876e-02
## 179 NA NA NA NA
## 180 -634.4746 NA NA 1.083821e-02
## 181 NA NA NA NA
## 182 -629.4962 NA NA 7.425267e-03
## 183 NA NA NA NA
## 184 -640.4209 NA NA 1.125261e-02
## 185 NA NA NA NA
## 186 -635.7653 NA NA 9.283327e-03
## 187 NA NA NA NA
## 188 -635.0758 NA NA 1.649853e-02
## 189 NA NA NA NA
## 190 -629.3913 NA NA 6.603400e-03
## 191 NA NA NA NA
## 192 -630.6511 NA NA 1.289992e-02
## 193 NA NA NA NA
## 194 -638.9235 NA NA 6.340244e-03
## 195 NA NA NA NA
## 196 -629.4961 NA NA 8.244624e-03
## 197 NA NA NA NA
## 198 -629.5157 NA NA 9.240967e-03
## 199 NA NA NA NA
## 200 -632.5115 NA NA 1.230472e-02
## 201 NA NA NA NA
## 202 -638.0571 NA NA 9.120077e-03
## 203 NA NA NA NA
## 204 -630.2439 NA NA 8.838721e-03
## 205 NA NA NA NA
## 206 -641.9290 NA NA 9.361335e-03
## 207 NA NA NA NA
## 208 -643.1166 NA NA 4.663915e-02
## 209 NA NA NA NA
## 210 -630.0706 NA NA 8.248319e-03
## 211 NA NA NA NA
## 212 -631.4441 NA NA 1.427964e-02
## 213 NA NA NA NA
## 214 -631.6438 NA NA 1.172329e-02
## 215 NA NA NA NA
## 216 -630.4532 NA NA 1.190037e-02
## 217 NA NA NA NA
## 218 -630.2717 NA NA 1.127092e-02
## 219 NA NA NA NA
## 220 -641.9605 NA NA 2.660391e-02
## 221 NA NA NA NA
## 222 -629.3672 NA NA 1.136815e-02
## 223 NA NA NA NA
## 224 -630.0334 NA NA 1.111794e-02
## 225 NA NA NA NA
## 226 -635.5410 NA NA 1.059278e-02
## 227 NA NA NA NA
## 228 -642.3649 NA NA 1.113998e-02
## 229 NA NA NA NA
## 230 -630.3826 NA NA 1.064010e-02
## 231 NA NA NA NA
## 232 -630.3701 NA NA 1.190505e-02
## 233 NA NA NA NA
## 234 -629.7548 NA NA 1.245052e-02
## 235 NA NA NA NA
## 236 -629.5346 NA NA 1.066040e-02
## 237 NA NA NA NA
## 238 -640.3934 NA NA 1.153470e-02
## 239 NA NA NA NA
## 240 -629.9295 NA NA 6.736299e-03
## 241 NA NA NA NA
## 242 -633.5557 NA NA 9.594152e-03
## 243 NA NA NA NA
## 244 -631.6334 NA NA 1.034125e-02
## 245 NA NA NA NA
## 246 -690.3088 NA NA 2.595177e-03
## 247 NA NA NA NA
## 248 -639.2458 NA NA 1.119710e-02
## 249 NA NA NA NA
## 250 -629.9251 NA NA 6.882626e-03
## 251 NA NA NA NA
## 252 -631.5434 NA NA 1.586091e-02
## 253 NA NA NA NA
## 254 -630.7217 NA NA 9.764056e-03
## 255 NA NA NA NA
## 256 -634.9192 NA NA 1.419724e-02
## 257 NA NA NA NA
## 258 -635.1445 NA NA 7.665007e-03
## 259 NA NA NA NA
## 260 -639.8969 NA NA 1.456686e-02
## 261 NA NA NA NA
## 262 -633.9921 NA NA 5.317118e-03
## 263 NA NA NA NA
## 264 -629.5527 NA NA 6.716844e-03
## 265 NA NA NA NA
## 266 -629.7225 NA NA 5.354069e-03
## 267 NA NA NA NA
## 268 -631.8820 NA NA 9.027774e-03
## 269 NA NA NA NA
## 270 -630.4440 NA NA 1.015709e-02
## 271 NA NA NA NA
## 272 -629.9860 NA NA 8.291399e-03
## 273 NA NA NA NA
## 274 -636.4802 NA NA 1.507415e-02
## 275 NA NA NA NA
## 276 -629.5989 NA NA 1.002646e-02
## 277 NA NA NA NA
## 278 -633.7741 NA NA 1.176269e-02
## 279 NA NA NA NA
## 280 -634.0501 NA NA 1.387592e-02
## 281 NA NA NA NA
## 282 -637.8358 NA NA 9.435118e-03
## 283 NA NA NA NA
## 284 -630.0340 NA NA 8.178100e-03
## 285 NA NA NA NA
## 286 -630.1666 NA NA 1.108858e-02
## 287 NA NA NA NA
## 288 -639.5935 NA NA 1.573267e-02
## 289 NA NA NA NA
## 290 -640.7168 NA NA 9.068491e-03
## 291 NA NA NA NA
## 292 -633.2818 NA NA 7.132542e-03
## 293 NA NA NA NA
## 294 -630.1104 NA NA 1.069930e-02
## 295 NA NA NA NA
## 296 -629.6211 NA NA 7.131833e-03
## 297 NA NA NA NA
## 298 -633.8384 NA NA 1.200092e-02
## 299 NA NA NA NA
## 300 -633.0374 NA NA 1.251764e-02
## 301 NA NA NA NA
## 302 -637.5401 NA NA 1.168508e-02
## 303 NA NA NA NA
## 304 -629.5047 NA NA 6.408063e-03
## 305 NA NA NA NA
## 306 -630.4133 NA NA 8.914941e-03
## 307 NA NA NA NA
## 308 -630.9276 NA NA 6.782035e-03
## 309 NA NA NA NA
## 310 -688.3104 NA NA 2.767503e-03
## 311 NA NA NA NA
## 312 -645.8000 NA NA 1.004889e-02
## 313 NA NA NA NA
## 314 -631.8579 NA NA 1.098727e-02
## 315 NA NA NA NA
## 316 -630.3227 NA NA 9.549287e-03
## 317 NA NA NA NA
## 318 -629.7239 NA NA 7.570701e-03
## 319 NA NA NA NA
## 320 -630.4910 NA NA 1.173805e-02
## 321 NA NA NA NA
## 322 -629.3905 NA NA 4.909792e-03
## 323 NA NA NA NA
## 324 -630.3061 NA NA 9.987570e-03
## 325 NA NA NA NA
## 326 -630.8620 NA NA 1.126830e-02
## 327 NA NA NA NA
## 328 -641.7985 NA NA 1.445099e-02
## 329 NA NA NA NA
## 330 -639.6031 NA NA 1.010486e-02
## 331 NA NA NA NA
## 332 -633.0246 NA NA 1.102796e-02
## 333 NA NA NA NA
## 334 -636.8087 NA NA 1.846284e-02
## 335 NA NA NA NA
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## 1787 NA NA NA NA
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## 1789 NA NA NA NA
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## 1795 NA NA NA NA
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## 1800 -630.4963 NA NA 5.516252e-03
## 1801 NA NA NA NA
## 1802 -629.4421 NA NA 7.094660e-03
## 1803 NA NA NA NA
## 1804 -630.3606 NA NA 1.125696e-02
## 1805 NA NA NA NA
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## 1807 NA NA NA NA
## 1808 -631.2633 NA NA 9.271415e-03
## 1809 NA NA NA NA
## 1810 -639.6076 NA NA 9.603256e-03
## 1811 NA NA NA NA
## 1812 -639.2565 NA NA 1.477552e-02
## 1813 NA NA NA NA
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## 1815 NA NA NA NA
## 1816 -630.0361 NA NA 9.334915e-03
## 1817 NA NA NA NA
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## 1819 NA NA NA NA
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## 1821 NA NA NA NA
## 1822 -684.9529 NA NA 1.656356e-03
## 1823 NA NA NA NA
## 1824 -629.2723 NA NA 4.727367e-03
## 1825 NA NA NA NA
## 1826 -635.3445 NA NA 1.251796e-02
## 1827 NA NA NA NA
## 1828 -635.9671 NA NA 1.135173e-02
## 1829 NA NA NA NA
## 1830 -689.1757 NA NA 2.222700e-03
## 1831 NA NA NA NA
## 1832 -630.3092 NA NA 8.225925e-03
## 1833 NA NA NA NA
## 1834 -630.3739 NA NA 9.365575e-03
## 1835 NA NA NA NA
## 1836 -636.7024 NA NA 8.379661e-03
## 1837 NA NA NA NA
## 1838 -630.5110 NA NA 8.889022e-03
## 1839 NA NA NA NA
## 1840 -631.2551 NA NA 9.441424e-03
## 1841 NA NA NA NA
## 1842 -630.2557 NA NA 7.766836e-03
## 1843 NA NA NA NA
## 1844 -636.8893 NA NA 1.085740e-02
## 1845 NA NA NA NA
## 1846 -631.3559 NA NA 1.211594e-02
## 1847 NA NA NA NA
## 1848 -641.8713 NA NA 1.287734e-02
## 1849 NA NA NA NA
## 1850 -632.1430 NA NA 1.094956e-02
## 1851 NA NA NA NA
## 1852 -636.6451 NA NA 1.118441e-02
## 1853 NA NA NA NA
## 1854 -632.0899 NA NA 1.170311e-02
## 1855 NA NA NA NA
## 1856 -634.0445 NA NA 1.043022e-02
## 1857 NA NA NA NA
## 1858 -629.9937 NA NA 1.220768e-02
## 1859 NA NA NA NA
## 1860 -630.1033 NA NA 5.804171e-03
## 1861 NA NA NA NA
## 1862 -632.2027 NA NA 9.320955e-03
## 1863 NA NA NA NA
## 1864 -630.6216 NA NA 7.956185e-03
## 1865 NA NA NA NA
## 1866 -630.9564 NA NA 6.499480e-03
## 1867 NA NA NA NA
## 1868 -629.6344 NA NA 6.001951e-03
## 1869 NA NA NA NA
## 1870 -629.4133 NA NA 8.531157e-03
## 1871 NA NA NA NA
## 1872 -637.7265 NA NA 1.283228e-02
## 1873 NA NA NA NA
## 1874 -643.8104 NA NA 7.546770e-03
## 1875 NA NA NA NA
## 1876 -630.7112 NA NA 9.283185e-03
## 1877 NA NA NA NA
## 1878 -630.0259 NA NA 8.821854e-03
## 1879 NA NA NA NA
## 1880 -638.9116 NA NA 1.066711e-02
## 1881 NA NA NA NA
## 1882 -629.5874 NA NA 5.653333e-03
## 1883 NA NA NA NA
## 1884 -633.3812 NA NA 1.331718e-02
## 1885 NA NA NA NA
## 1886 -630.4571 NA NA 5.251294e-03
## 1887 NA NA NA NA
## 1888 -639.3247 NA NA 7.896791e-03
## 1889 NA NA NA NA
## 1890 -643.2934 NA NA 3.706485e-02
## 1891 NA NA NA NA
## 1892 -630.2293 NA NA 1.096640e-02
## 1893 NA NA NA NA
## 1894 -629.2789 NA NA 6.781982e-03
## 1895 NA NA NA NA
## 1896 -629.8887 NA NA 9.138707e-03
## 1897 NA NA NA NA
## 1898 -629.9515 NA NA 8.962516e-03
## 1899 NA NA NA NA
## 1900 -668.2537 NA NA 4.396679e-03
## 1901 NA NA NA NA
## 1902 -634.9288 NA NA 9.540342e-03
## 1903 NA NA NA NA
## 1904 -633.5571 NA NA 1.170107e-02
## 1905 NA NA NA NA
## 1906 -629.8697 NA NA 7.865770e-03
## 1907 NA NA NA NA
## 1908 -639.7601 NA NA 9.661624e-03
## 1909 NA NA NA NA
## 1910 -629.5331 NA NA 5.819086e-03
## 1911 NA NA NA NA
## 1912 -631.8623 NA NA 9.520461e-03
## 1913 NA NA NA NA
## 1914 -639.3779 NA NA 1.287742e-02
## 1915 NA NA NA NA
## 1916 -633.8502 NA NA 1.011903e-02
## 1917 NA NA NA NA
## 1918 -635.8102 NA NA 1.458481e-02
## 1919 NA NA NA NA
## 1920 -630.3561 NA NA 9.711653e-03
## 1921 NA NA NA NA
## 1922 -639.8736 NA NA 1.644048e-02
## 1923 NA NA NA NA
## 1924 -630.7487 NA NA 8.841807e-03
## 1925 NA NA NA NA
## 1926 -629.7484 NA NA 9.183212e-03
## 1927 NA NA NA NA
## 1928 -634.3254 NA NA 1.405899e-02
## 1929 NA NA NA NA
## 1930 -637.6671 NA NA 1.225786e-02
## 1931 NA NA NA NA
## 1932 -630.2031 NA NA 8.883747e-03
## 1933 NA NA NA NA
## 1934 -630.0874 NA NA 6.294787e-03
## 1935 NA NA NA NA
## 1936 -629.1342 NA NA 1.203940e-02
## 1937 NA NA NA NA
## 1938 -630.0720 NA NA 7.079707e-03
## 1939 NA NA NA NA
## 1940 -630.0481 NA NA 7.498487e-03
## 1941 NA NA NA NA
## 1942 -630.5371 NA NA 1.222808e-02
## 1943 NA NA NA NA
## 1944 -629.9765 NA NA 1.068190e-02
## 1945 NA NA NA NA
## 1946 -667.3902 NA NA 3.383660e-03
## 1947 NA NA NA NA
## 1948 -630.6145 NA NA 9.076546e-03
## 1949 NA NA NA NA
## 1950 -633.1580 NA NA 1.060780e-02
## 1951 NA NA NA NA
## 1952 -641.6927 NA NA 1.015618e-02
## 1953 NA NA NA NA
## 1954 -631.5186 NA NA 2.303950e-02
## 1955 NA NA NA NA
## 1956 -629.8380 NA NA 9.419321e-03
## 1957 NA NA NA NA
## 1958 -629.3934 NA NA 6.701798e-03
## 1959 NA NA NA NA
## 1960 -630.4792 NA NA 6.977234e-03
## 1961 NA NA NA NA
## 1962 -2559.2216 NA NA 1.225134e+00
## 1963 NA NA NA NA
## 1964 -636.4827 NA NA 8.901555e-03
## 1965 NA NA NA NA
## 1966 -630.7367 NA NA 9.651849e-03
## 1967 NA NA NA NA
## 1968 -630.9533 NA NA 1.248721e-02
## 1969 NA NA NA NA
## 1970 -637.3019 NA NA 9.708211e-03
## 1971 NA NA NA NA
## 1972 -638.5483 NA NA 1.254775e-02
## 1973 NA NA NA NA
## 1974 -629.3441 NA NA 9.069146e-03
## 1975 NA NA NA NA
## 1976 -635.0977 NA NA 1.246958e-02
## 1977 NA NA NA NA
## 1978 -639.7521 NA NA 1.344446e-02
## 1979 NA NA NA NA
## 1980 -632.1724 NA NA 8.399241e-03
## 1981 NA NA NA NA
## 1982 -629.7333 NA NA 7.139402e-03
## 1983 NA NA NA NA
## 1984 -641.9282 NA NA 7.672834e-03
## 1985 NA NA NA NA
## 1986 -629.8293 NA NA 7.044546e-03
## 1987 NA NA NA NA
## 1988 -634.4858 NA NA 9.409813e-03
## 1989 NA NA NA NA
## 1990 -639.2904 NA NA 1.231709e-02
## 1991 NA NA NA NA
## 1992 -630.3358 NA NA 8.299984e-03
## 1993 NA NA NA NA
## 1994 -633.7018 NA NA 8.421539e-03
## 1995 NA NA NA NA
## 1996 -630.2254 NA NA 7.291666e-03
## 1997 NA NA NA NA
## 1998 -645.7290 NA NA 8.233578e-03
## 1999 NA NA NA NA
## 2000 -629.7734 NA NA 6.524767e-03
## 2001 NA NA NA NA
## 2002 -630.8497 NA NA 1.347464e-02
## 2003 NA NA NA NA
## 2004 -632.8928 NA NA 9.468501e-03
## 2005 NA NA NA NA
## 2006 -629.9078 NA NA 1.025239e-02
## 2007 NA NA NA NA
## 2008 -634.4291 NA NA 1.052144e-02
## 2009 NA NA NA NA
## 2010 -630.4918 NA NA 9.001836e-03
## 2011 NA NA NA NA
## 2012 -2895.1242 NA NA 6.675357e+00
## 2013 NA NA NA NA
## 2014 -632.3426 NA NA 1.324285e-02
## 2015 NA NA NA NA
## 2016 -630.5198 NA NA 8.918174e-03
## 2017 NA NA NA NA
## 2018 -630.9507 NA NA 8.271471e-03
## 2019 NA NA NA NA
## 2020 -629.7424 NA NA 1.139823e-02
## 2021 NA NA NA NA
## 2022 -630.5519 NA NA 1.357293e-02
## 2023 NA NA NA NA
## 2024 -632.7262 NA NA 8.092611e-03
## 2025 NA NA NA NA
## 2026 -631.9810 NA NA 1.403769e-02
## 2027 NA NA NA NA
## 2028 -629.8590 NA NA 1.140122e-02
## 2029 NA NA NA NA
## 2030 -641.4774 NA NA 1.266198e-02
## 2031 NA NA NA NA
## 2032 -636.6897 NA NA 1.136044e-02
## 2033 NA NA NA NA
## 2034 -630.8355 NA NA 7.896509e-03
## 2035 NA NA NA NA
## 2036 -629.4316 NA NA 6.006679e-03
## 2037 NA NA NA NA
## 2038 -629.8926 NA NA 1.422736e-02
## 2039 NA NA NA NA
## 2040 -630.6801 NA NA 1.153929e-02
## 2041 NA NA NA NA
## 2042 -630.8804 NA NA 9.180369e-03
## 2043 NA NA NA NA
## 2044 -636.9181 NA NA 1.258550e-02
## 2045 NA NA NA NA
## 2046 -637.3472 NA NA 1.890514e-02
## 2047 NA NA NA NA
## 2048 -629.3811 NA NA 1.033924e-02
## 2049 NA NA NA NA
## 2050 -670.8187 NA NA 3.145493e-03
## 2051 NA NA NA NA
## 2052 -634.2007 NA NA 9.495744e-03
## 2053 NA NA NA NA
## 2054 -631.0205 NA NA 4.458762e-03
## 2055 NA NA NA NA
## 2056 -645.2106 NA NA 1.540990e-02
## 2057 NA NA NA NA
## 2058 -632.6568 NA NA 9.173784e-03
## 2059 NA NA NA NA
## 2060 -639.6280 NA NA 6.737245e-03
## 2061 NA NA NA NA
## 2062 -629.2975 NA NA 6.386454e-03
## 2063 NA NA NA NA
## 2064 -635.4948 NA NA 8.713305e-03
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## [ reached getOption("max.print") -- omitted 47298 rows ]
##
## [[2]]
## M_0 V_0 K_0 R_0 b_q b_a b_p p_S
## 1 5 13 14 2.4124685 0.441663720 0.5396229806 0 0.804678975
## 2 5 13 14 2.4124685 0.441663720 0.5396229806 0 0.804678975
## 3 5 13 14 2.5605495 0.341361596 0.4824313084 0 0.823710527
## 4 5 13 14 2.7548354 0.208922811 0.5218541479 0 0.782736328
## 5 5 13 14 3.4187249 0.168782795 0.5131163514 0 0.790139327
## 6 5 13 14 4.0243634 0.140192448 0.5160040912 0 0.812698922
## 7 5 13 14 3.8550125 0.139105097 0.5090644609 0 0.830794453
## 8 5 13 14 4.0392753 0.135498874 0.4974215023 0 0.828991747
## 9 5 13 14 4.0151745 0.134820255 0.4904826044 0 0.818785284
## 10 5 13 14 4.0745656 0.132448050 0.5040441148 0 0.820413604
## 11 5 13 14 4.1366470 0.132087832 0.4995950081 0 0.824670150
## 12 5 13 14 4.2414823 0.127963573 0.5336509719 0 0.799439207
## 13 5 13 14 4.4749696 0.126232859 0.5379283033 0 0.748661567
## 14 5 13 14 4.7253946 0.120984131 0.5469246043 0 0.732471603
## 15 5 13 14 4.8299977 0.118975134 0.5378032038 0 0.716906827
## 16 5 13 14 4.7695441 0.120391041 0.5491175136 0 0.703124275
## 17 5 13 14 4.7797944 0.118535278 0.5613387437 0 0.704997723
## 18 5 13 14 4.6459823 0.121284551 0.5818588077 0 0.702804853
## 19 5 13 14 4.5931731 0.122927446 0.5702426685 0 0.702050616
## 20 5 13 14 4.5509061 0.124821474 0.5729434114 0 0.691223872
## 21 5 13 14 4.6445191 0.122685470 0.5764026196 0 0.681863283
## 22 5 13 14 4.5017512 0.123030167 0.6078008926 0 0.695365267
## 23 5 13 14 4.5090785 0.121797040 0.6094574492 0 0.693685252
## 24 5 13 14 4.6409398 0.119091512 0.6279750446 0 0.675267567
## 25 5 13 14 4.6446062 0.118796912 0.6446073485 0 0.666459750
## 26 5 13 14 4.5561455 0.121055143 0.6661441731 0 0.665785166
## 27 5 13 14 4.5463291 0.119712285 0.6714049978 0 0.668970011
## 28 5 13 14 4.5427727 0.119733974 0.6614008545 0 0.671401081
## 29 5 13 14 4.5887650 0.119183772 0.6526036133 0 0.663629980
## 30 5 13 14 4.6116626 0.118422944 0.6605033999 0 0.658580206
## 31 5 13 14 4.5745749 0.119513332 0.6488343860 0 0.665061134
## 32 5 13 14 4.5513018 0.119473729 0.6387441473 0 0.675767086
## 33 5 13 14 4.5997099 0.118845686 0.6466057388 0 0.664714019
## 34 5 13 14 4.7002627 0.116754610 0.6518223804 0 0.660974560
## 35 5 13 14 4.7008255 0.116571405 0.6532832720 0 0.662481373
## 36 5 13 14 4.6762728 0.116660792 0.6546472997 0 0.663676465
## 37 5 13 14 4.7591413 0.115378061 0.6639595231 0 0.652506099
## 38 5 13 14 4.7350841 0.115690299 0.6852098866 0 0.647701908
## 39 5 13 14 4.7499658 0.114682596 0.6646348185 0 0.657652474
## 40 5 13 14 4.6763413 0.114961348 0.6596765795 0 0.677782709
## 41 5 13 14 4.7235871 0.114889350 0.6620461912 0 0.667313635
## 42 5 13 14 4.7015620 0.114992523 0.6415446529 0 0.669204831
## 43 5 13 14 4.7590600 0.113968471 0.6376167416 0 0.668559539
## 44 5 13 14 4.7740387 0.114303900 0.6435528965 0 0.659765637
## 45 5 13 14 4.7461116 0.114293917 0.6974630201 0 0.649128563
## 46 5 13 14 4.7477020 0.115089311 0.6893196019 0 0.645146612
## 47 5 13 14 4.8166964 0.114426999 0.6953739658 0 0.632780004
## 48 5 13 14 4.7469753 0.115839967 0.7030020940 0 0.633625802
## 49 5 13 14 4.7912350 0.113423428 0.7403789213 0 0.633220041
## 50 5 13 14 4.7994608 0.113247183 0.7484245157 0 0.629778548
## 51 5 13 14 4.9136370 0.110851147 0.7502763099 0 0.615641013
## 52 5 13 14 4.9882659 0.111037458 0.6805620273 0 0.625788164
## 53 5 13 14 4.9882659 0.111037458 0.6805620273 0 0.625788164
## 54 5 13 14 4.9412212 0.114750297 0.6759237148 0 0.629222268
## 55 5 13 14 4.6943433 0.120608022 0.6751893266 0 0.627797230
## 56 5 13 14 4.7510168 0.119432607 0.6869897657 0 0.603970832
## 57 5 13 14 4.8505186 0.117828527 0.6875527108 0 0.600044563
## 58 5 13 14 4.9502049 0.114540938 0.6825847184 0 0.611225112
## 59 5 13 14 4.9100727 0.115608375 0.7002955335 0 0.594811684
## 60 5 13 14 5.0056979 0.113959372 0.6858908251 0 0.597053533
## 61 5 13 14 4.9236925 0.115617537 0.6883008857 0 0.602314556
## 62 5 13 14 4.8506711 0.117255456 0.6812812889 0 0.617724161
## 63 5 13 14 4.8762105 0.115520668 0.6708832626 0 0.606085057
## 64 5 13 14 4.9601050 0.112954364 0.6766534013 0 0.618991764
## 65 5 13 14 4.6155321 0.118614924 0.7028904443 0 0.653896094
## 66 5 13 14 4.3853958 0.123094906 0.7535934204 0 0.649523541
## 67 5 13 14 4.0693579 0.129017824 0.7699850054 0 0.676311665
## 68 5 13 14 4.0249041 0.129363556 0.7703781977 0 0.697322674
## 69 5 13 14 4.1136418 0.126482699 0.7813398795 0 0.684960305
## 70 5 13 14 4.1586181 0.125301940 0.7767786875 0 0.680874148
## 71 5 13 14 4.0577204 0.125645786 0.8022181947 0 0.698577125
## 72 5 13 14 4.1535040 0.124130965 0.7989926480 0 0.685659871
## 73 5 13 14 4.2456356 0.123109716 0.7992022191 0 0.662645316
## 74 5 13 14 4.2806873 0.120590181 0.8227130864 0 0.660175618
## 75 5 13 14 4.3850889 0.119291237 0.8136335318 0 0.641075598
## 76 5 13 14 4.2945356 0.120071125 0.8483893246 0 0.650632415
## 77 5 13 14 4.3572847 0.119379525 0.8408811033 0 0.640503801
## 78 5 13 14 4.4942851 0.115600317 0.8322234479 0 0.620481253
## 79 5 13 14 4.4476557 0.116590556 0.8272712874 0 0.622809286
## 80 5 13 14 4.5952260 0.114087886 0.8365476138 0 0.624104911
## 81 5 13 14 4.4855817 0.116302044 0.8484267328 0 0.630694730
## 82 5 13 14 4.3562000 0.117653382 0.8586178834 0 0.648280435
## 83 5 13 14 4.5314249 0.115524395 0.8594275187 0 0.626565952
## 84 5 13 14 4.3936150 0.117751223 0.8524685565 0 0.646315603
## 85 5 13 14 4.5147193 0.115727303 0.8418882681 0 0.647955523
## 86 5 13 14 4.5038249 0.117737751 0.8079893060 0 0.636543847
## 87 5 13 14 4.5971732 0.115292634 0.8020181352 0 0.640714389
## 88 5 13 14 4.5817366 0.117029543 0.7793888210 0 0.633119103
## 89 5 13 14 4.6238652 0.115596106 0.7645955112 0 0.629322447
## 90 5 13 14 4.6724324 0.115753731 0.7448614907 0 0.613128169
## 91 5 13 14 4.7040917 0.117361392 0.7111153620 0 0.602761115
## 92 5 13 14 4.7159231 0.118241640 0.6914999973 0 0.587033593
## 93 5 13 14 4.7011956 0.117744159 0.7092465305 0 0.589021916
## 94 5 13 14 4.7183105 0.118398702 0.6998705768 0 0.591133275
## 95 5 13 14 4.8817620 0.115336590 0.6902996760 0 0.575644602
## 96 5 13 14 4.8787487 0.114491555 0.6934577416 0 0.589486570
## 97 5 13 14 4.6235997 0.118708685 0.7044971877 0 0.610264383
## 98 5 13 14 4.5552703 0.121449425 0.7036496093 0 0.612825431
## 99 5 13 14 4.5944104 0.120479152 0.6858626879 0 0.612355898
## 100 5 13 14 4.6029171 0.120572213 0.6702920028 0 0.606439277
## 101 5 13 14 4.6499856 0.121452649 0.6679617816 0 0.593412874
## 102 5 13 14 4.6043901 0.121558968 0.6793523371 0 0.595421916
## 103 5 13 14 4.6623934 0.120594216 0.6883708066 0 0.592997368
## 104 5 13 14 4.6623934 0.120594216 0.6883708066 0 0.592997368
## 105 5 13 14 7.7597330 0.201797870 0.3395533023 0 0.502007140
## 106 5 13 14 7.7597330 0.201797870 0.3395533023 0 0.502007140
## 107 5 13 14 6.0037644 0.157768515 0.3083114381 0 0.472007500
## 108 5 13 14 6.3096845 0.136302598 0.3007414889 0 0.485934602
## 109 5 13 14 7.1992502 0.112655987 0.3440516957 0 0.504636745
## 110 5 13 14 7.4269118 0.107302911 0.3657055223 0 0.495108519
## 111 5 13 14 7.0345167 0.109073109 0.3991987133 0 0.511292573
## 112 5 13 14 6.7380888 0.112555836 0.3898102932 0 0.528557977
## 113 5 13 14 6.8067716 0.109279715 0.3954267937 0 0.532346560
## 114 5 13 14 6.8044997 0.109406853 0.3851528536 0 0.530843096
## 115 5 13 14 6.7005648 0.111668930 0.3900636970 0 0.522633582
## 116 5 13 14 6.4558299 0.111356221 0.4049772284 0 0.539520358
## 117 5 13 14 6.1690687 0.113664881 0.4096124381 0 0.549639855
## 118 5 13 14 5.9104848 0.115969982 0.4228166159 0 0.559099993
## 119 5 13 14 5.5613643 0.117917496 0.4568286895 0 0.571847514
## 120 5 13 14 5.7076131 0.116413283 0.4658339837 0 0.561756148
## 121 5 13 14 5.6190507 0.116985317 0.4578593518 0 0.567866675
## 122 5 13 14 5.5230107 0.118028638 0.4511189247 0 0.576340119
## 123 5 13 14 5.6840154 0.118839307 0.4486801344 0 0.555690107
## 124 5 13 14 5.5234581 0.119670218 0.4670769682 0 0.559513471
## 125 5 13 14 5.5287435 0.119223590 0.4478538214 0 0.571294934
## 126 5 13 14 5.5522728 0.118114519 0.4419391495 0 0.570335520
## 127 5 13 14 5.4480166 0.119289533 0.4472624416 0 0.575090768
## 128 5 13 14 5.6306808 0.117128627 0.4541249194 0 0.549858632
## 129 5 13 14 5.7542080 0.114691296 0.4934242927 0 0.552214859
## 130 5 13 14 5.7283437 0.115819967 0.4901053270 0 0.546551012
## 131 5 13 14 5.4931352 0.118578928 0.4819939151 0 0.569690886
## 132 5 13 14 5.3169380 0.119682988 0.5057702689 0 0.570553009
## 133 5 13 14 5.2735176 0.120090387 0.4980111189 0 0.567010145
## 134 5 13 14 5.2166188 0.119310097 0.4901675426 0 0.572745683
## 135 5 13 14 5.2547748 0.119796594 0.4870833309 0 0.566756879
## 136 5 13 14 5.1571974 0.121467060 0.4846236416 0 0.565933005
## 137 5 13 14 5.1430173 0.122210726 0.4753338791 0 0.572525865
## 138 5 13 14 5.1125158 0.121202271 0.4817908924 0 0.576861935
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## 140 5 13 14 5.0321767 0.122671155 0.4739936601 0 0.586376316
## 141 5 13 14 4.9984483 0.122271484 0.5074030799 0 0.572602252
## 142 5 13 14 5.1430158 0.120879264 0.5031775556 0 0.565112481
## 143 5 13 14 5.1082939 0.121206457 0.4943526264 0 0.570858963
## 144 5 13 14 5.3220818 0.118702783 0.4992409418 0 0.547554765
## 145 5 13 14 5.3680897 0.118727944 0.5070126800 0 0.536514493
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## 150 5 13 14 5.3087826 0.118381935 0.5521200139 0 0.525209479
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## 169 5 13 14 5.2659550 0.120800538 0.5763549078 0 0.498228962
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## 191 5 13 14 4.7419978 0.123280691 0.6655488413 0 0.527035978
## 192 5 13 14 4.7488807 0.122098941 0.6923282641 0 0.519828428
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## 226 5 13 14 23.9329949 0.088523570 0.8673005274 0 0.072894240
## 227 5 13 14 24.1076555 0.077252446 0.8559047497 0 0.072266839
## 228 5 13 14 21.7516819 0.069675393 0.8651070002 0 0.078118506
## 229 5 13 14 21.7587072 0.068688853 0.8628421533 0 0.075902198
## 230 5 13 14 20.5233275 0.066579077 0.8364178030 0 0.076765547
## 231 5 13 14 21.3973575 0.067946709 0.8197492100 0 0.076453720
## 232 5 13 14 21.3284304 0.067163871 0.8067011476 0 0.075256141
## 233 5 13 14 20.1365179 0.065989604 0.8303681882 0 0.075375623
## 234 5 13 14 20.1811125 0.065099135 0.8304636456 0 0.076403024
## 235 5 13 14 19.7623719 0.065953685 0.8164340298 0 0.076147832
## 236 5 13 14 19.2610285 0.066142749 0.8260479884 0 0.076686924
## 237 5 13 14 19.8414741 0.068059983 0.8308350316 0 0.075568747
## 238 5 13 14 19.2462908 0.071326247 0.8134012397 0 0.075920709
## 239 5 13 14 19.4505041 0.072740422 0.8107091393 0 0.074663921
## 240 5 13 14 20.1018043 0.075071789 0.8168027625 0 0.073849715
## 241 5 13 14 19.7007964 0.074303319 0.8169696828 0 0.073020890
## 242 5 13 14 20.1597150 0.073231630 0.8236158819 0 0.073984828
## 243 5 13 14 19.9836102 0.076355716 0.8226193613 0 0.071158979
## 244 5 13 14 19.1355586 0.074982441 0.8367887497 0 0.072629511
## 245 5 13 14 19.3782869 0.073546654 0.8349450924 0 0.074160555
## 246 5 13 14 19.0704010 0.072675263 0.8405799115 0 0.074677017
## 247 5 13 14 19.3066707 0.075456402 0.8507255365 0 0.071916514
## 248 5 13 14 18.5863295 0.077746333 0.8623745391 0 0.071738106
## 249 5 13 14 19.4397422 0.075529963 0.8570759356 0 0.071763295
## 250 5 13 14 18.9364960 0.077486019 0.8555142306 0 0.071789751
## 251 5 13 14 19.2048313 0.078575861 0.8747270930 0 0.071455931
## 252 5 13 14 19.2187563 0.079047309 0.8634798972 0 0.071922616
## 253 5 13 14 18.1785446 0.079794469 0.8668134335 0 0.070664564
## 254 5 13 14 17.7939929 0.078596949 0.8623681664 0 0.071826122
## 255 5 13 14 18.2978245 0.078625410 0.8616913558 0 0.072320409
## 256 5 13 14 18.3034164 0.078536000 0.8674283852 0 0.071518709
## 257 5 13 14 19.0454611 0.081245167 0.8650555635 0 0.070594844
## 258 5 13 14 18.5613637 0.080716578 0.8767274310 0 0.071159674
## 259 5 13 14 18.1904450 0.080736010 0.8705874710 0 0.069501086
## 260 5 13 14 18.1340392 0.080401216 0.8775568104 0 0.069633231
## 261 5 13 14 18.1340392 0.080401216 0.8775568104 0 0.069633231
## 262 5 13 14 18.0803288 0.080524483 0.8776243511 0 0.069386546
## 263 5 13 14 17.3837557 0.081570445 0.8867114574 0 0.070989856
## 264 5 13 14 16.5990547 0.083946130 0.8962188012 0 0.069519677
## 265 5 13 14 16.8489767 0.082547883 0.8833054318 0 0.070210180
## 266 5 13 14 17.3091047 0.078926858 0.8787160145 0 0.073211184
## 267 5 13 14 16.5768330 0.082879272 0.8818145507 0 0.072716273
## 268 5 13 14 17.1202200 0.079020362 0.8708499403 0 0.072305828
## 269 5 13 14 17.0250612 0.081857671 0.8687905183 0 0.072105529
## 270 5 13 14 16.2699839 0.079522074 0.8971450194 0 0.073449521
## 271 5 13 14 16.5196802 0.082079516 0.8952595434 0 0.072514771
## 272 5 13 14 15.7508817 0.079993873 0.9159630727 0 0.073788123
## 273 5 13 14 15.9796489 0.077277035 0.9150510695 0 0.074388698
## 274 5 13 14 15.6083321 0.081832907 0.9098156412 0 0.071502748
## 275 5 13 14 15.5251752 0.081391587 0.9009204595 0 0.071988081
## 276 5 13 14 16.3865326 0.079459583 0.9037380743 0 0.070843125
## 277 5 13 14 16.1112343 0.080953298 0.8986722138 0 0.071454966
## 278 5 13 14 16.1673693 0.079481523 0.8962146296 0 0.071895168
## 279 5 13 14 15.8407404 0.082233560 0.9003594100 0 0.072772722
## 280 5 13 14 15.8154815 0.082390252 0.9036919272 0 0.071449106
## 281 5 13 14 15.6180364 0.078928925 0.8949507651 0 0.071828342
## 282 5 13 14 15.8389534 0.080766545 0.8901755439 0 0.071816684
## 283 5 13 14 15.6495264 0.076869408 0.8933051093 0 0.074139660
## 284 5 13 14 16.5178693 0.077628997 0.8873675932 0 0.071658880
## 285 5 13 14 16.7618474 0.074764126 0.8882011534 0 0.073809451
## 286 5 13 14 17.8867965 0.078771479 0.8834807900 0 0.070178927
## 287 5 13 14 17.1933303 0.077284760 0.8934688784 0 0.071408636
## 288 5 13 14 17.3770469 0.076636235 0.8928442247 0 0.070631854
## 289 5 13 14 18.0459496 0.077952954 0.8865829484 0 0.069421094
## 290 5 13 14 17.7188763 0.081135995 0.8901656925 0 0.069625851
## 291 5 13 14 18.0780868 0.084499266 0.8597718395 0 0.068423370
## 292 5 13 14 18.0475565 0.081193439 0.8566491975 0 0.070798915
## 293 5 13 14 17.5810693 0.076652986 0.8635613650 0 0.073090954
## 294 5 13 14 17.4696227 0.075262828 0.8701807760 0 0.073227372
## 295 5 13 14 18.9106663 0.076529398 0.8626096212 0 0.071148304
## 296 5 13 14 17.7354875 0.075463391 0.8768843151 0 0.073141853
## 297 5 13 14 17.5669281 0.077070282 0.8716664240 0 0.072158540
## 298 5 13 14 17.7074192 0.073872344 0.8567035656 0 0.072507121
## 299 5 13 14 17.9558848 0.071126619 0.8690367163 0 0.074764672
## 300 5 13 14 17.8650123 0.071875673 0.8777071217 0 0.074800495
## 301 5 13 14 17.5491913 0.071243918 0.8800890937 0 0.075219683
## 302 5 13 14 18.0863568 0.071098970 0.8778579879 0 0.074372810
## 303 5 13 14 17.8458412 0.072343006 0.8635094015 0 0.074417295
## 304 5 13 14 18.3464642 0.074697979 0.8684838512 0 0.072010971
## 305 5 13 14 18.7861330 0.075509369 0.8676562502 0 0.071387934
## 306 5 13 14 18.0125468 0.076408232 0.8659869389 0 0.070909520
## 307 5 13 14 18.4958224 0.076316529 0.8683279968 0 0.069989350
## 308 5 13 14 18.8807331 0.076543269 0.8622184243 0 0.071546531
## 309 5 13 14 18.9274246 0.079116132 0.8557755030 0 0.070702420
## 310 5 13 14 19.0764347 0.079128237 0.8599902269 0 0.070225342
## 311 5 13 14 18.6617009 0.078750624 0.8636916632 0 0.070382794
## 312 5 13 14 18.6617009 0.078750624 0.8636916632 0 0.070382794
## 313 5 13 14 4.4766002 0.851161265 0.7057297121 0 0.843867643
## 314 5 13 14 4.4766002 0.851161265 0.7057297121 0 0.843867643
## 315 5 13 14 4.1123084 0.862202942 0.7442534281 0 0.854884015
## 316 5 13 14 3.2771590 0.869746591 0.7510748878 0 0.841301409
## 317 5 13 14 2.1255511 0.829901084 0.7251453761 0 0.880819204
## 318 5 13 14 1.5376233 0.798101598 0.7144030041 0 0.908348595
## 319 5 13 14 1.6931877 0.747195529 0.7064011443 0 0.940690048
## 320 5 13 14 1.5098224 0.723603480 0.6503694766 0 0.936546825
## 321 5 13 14 1.5270867 0.669203569 0.6954093650 0 0.945832820
## 322 5 13 14 1.5196827 0.654021441 0.6512963228 0 0.950068214
## 323 5 13 14 1.5970812 0.606324823 0.6948050696 0 0.947788382
## 324 5 13 14 1.6834129 0.514995815 0.6759265877 0 0.951623026
## 325 5 13 14 1.7511207 0.387435636 0.7063993234 0 0.960189677
## 326 5 13 14 2.1266926 0.317084715 0.7108179306 0 0.960656832
## 327 5 13 14 2.6067336 0.233578648 0.6845400150 0 0.966902817
## 328 5 13 14 2.8469414 0.178742666 0.6759982068 0 0.967939720
## 329 5 13 14 3.2590345 0.150446109 0.7097190782 0 0.963221949
## 330 5 13 14 3.4762841 0.141428676 0.7146957360 0 0.961535777
## 331 5 13 14 3.5596076 0.136713914 0.7158801391 0 0.964415845
## 332 5 13 14 3.5825926 0.134355060 0.7190713579 0 0.965371386
## 333 5 13 14 3.6067078 0.133306590 0.7254532652 0 0.963437064
## 334 5 13 14 3.5593697 0.134408984 0.7492984471 0 0.961122899
## 335 5 13 14 3.4995782 0.136446610 0.7862902660 0 0.960534638
## 336 5 13 14 3.4928205 0.136263493 0.7901478648 0 0.960447570
## 337 5 13 14 3.5164243 0.135289951 0.7957959284 0 0.961993603
## 338 5 13 14 3.5418438 0.133475508 0.7955253043 0 0.961980023
## 339 5 13 14 3.4641578 0.136303701 0.8012016909 0 0.960175158
## 340 5 13 14 3.4811523 0.135489261 0.8275543388 0 0.961212324
## 341 5 13 14 3.4951991 0.133911671 0.8433463776 0 0.959686007
## 342 5 13 14 3.5447346 0.132078310 0.8662157384 0 0.958629865
## 343 5 13 14 3.5476373 0.131129626 0.8430994925 0 0.961897297
## 344 5 13 14 3.5755648 0.130301566 0.8538055299 0 0.959524698
## 345 5 13 14 3.5549351 0.131218563 0.8712640181 0 0.953740060
## 346 5 13 14 3.6039280 0.129933776 0.8780512505 0 0.949850136
## 347 5 13 14 3.5466192 0.130872121 0.8822539123 0 0.947750414
## 348 5 13 14 3.5655902 0.130765004 0.8794778716 0 0.941217159
## 349 5 13 14 3.6492918 0.128034556 0.8887705577 0 0.938222008
## 350 5 13 14 3.5348475 0.130500876 0.8972378643 0 0.937289308
## 351 5 13 14 3.5671450 0.130679738 0.8956587278 0 0.938849285
## 352 5 13 14 3.5636709 0.129879377 0.8970028512 0 0.938286320
## 353 5 13 14 3.6062714 0.129534391 0.8908428167 0 0.937703737
## 354 5 13 14 3.6274381 0.129093674 0.8760805993 0 0.938900520
## 355 5 13 14 3.5801313 0.129558693 0.8815920164 0 0.936965870
## 356 5 13 14 3.6257204 0.128535521 0.8782919872 0 0.930867245
## 357 5 13 14 3.6722473 0.125767675 0.8953538486 0 0.931351961
## 358 5 13 14 3.7533180 0.122928180 0.9127534092 0 0.928604929
## 359 5 13 14 3.7645514 0.122505852 0.9181691665 0 0.926879404
## 360 5 13 14 3.8113469 0.120998085 0.9201217821 0 0.922737297
## 361 5 13 14 3.7667490 0.122191993 0.9227393486 0 0.924067559
## 362 5 13 14 3.6893550 0.123836638 0.9197579438 0 0.923037887
## 363 5 13 14 3.7155477 0.123549081 0.9184090886 0 0.921159367
## 364 5 13 14 3.7495340 0.122917651 0.9151381262 0 0.915367903
## 365 5 13 14 3.7495340 0.122917651 0.9151381262 0 0.915367903
## 366 5 13 14 3.7539748 0.126591648 0.9156750593 0 0.916531961
## 367 5 13 14 3.6356064 0.127010801 0.9167302366 0 0.914572189
## 368 5 13 14 3.7019466 0.125287666 0.9112296972 0 0.907480013
## 369 5 13 14 3.6417429 0.129381761 0.9055117641 0 0.893440636
## 370 5 13 14 3.6244262 0.128306941 0.9027803165 0 0.902415563
## 371 5 13 14 3.5878949 0.129961155 0.9090412655 0 0.908790513
## 372 5 13 14 3.6163344 0.130991369 0.8999659620 0 0.906970981
## 373 5 13 14 3.5522759 0.131836824 0.9011840553 0 0.909722628
## 374 5 13 14 3.6630264 0.127247448 0.9032197656 0 0.906532679
## 375 5 13 14 3.7922904 0.124872885 0.9018694827 0 0.892604897
## 376 5 13 14 3.7602429 0.124020120 0.9000655323 0 0.885108902
## 377 5 13 14 3.7787346 0.124329602 0.9013752829 0 0.877424271
## 378 5 13 14 3.7185057 0.125296876 0.8966428797 0 0.868625260
## 379 5 13 14 3.8028095 0.122934579 0.9062346433 0 0.866143475
## 380 5 13 14 3.8544887 0.120856853 0.8994185315 0 0.851269249
## 381 5 13 14 3.8364614 0.122309383 0.9043150668 0 0.847780028
## 382 5 13 14 3.7526837 0.123213537 0.9094991643 0 0.846650508
## 383 5 13 14 3.8101297 0.122360439 0.9259798937 0 0.870752236
## 384 5 13 14 3.7673443 0.121805684 0.9476864683 0 0.868611145
## 385 5 13 14 3.7735082 0.120730597 0.9545582737 0 0.845102424
## 386 5 13 14 3.7525839 0.121928234 0.9467605403 0 0.846225265
## 387 5 13 14 3.7718540 0.122518608 0.9376049714 0 0.843085725
## 388 5 13 14 3.8007292 0.121767658 0.9280177645 0 0.827500943
## 389 5 13 14 3.7301887 0.122978605 0.9398755514 0 0.836279787
## 390 5 13 14 3.6932247 0.123504345 0.9433802689 0 0.851100117
## 391 5 13 14 3.7476801 0.120538891 0.9625469059 0 0.848490460
## 392 5 13 14 3.6939138 0.122698843 0.9615367492 0 0.836645198
## 393 5 13 14 3.6683551 0.123605393 0.9621425027 0 0.844509054
## 394 5 13 14 3.7208421 0.121877869 0.9663087233 0 0.840994666
## 395 5 13 14 3.6038742 0.124855899 0.9646154535 0 0.847326241
## 396 5 13 14 3.7102761 0.121878338 0.9654429636 0 0.849318753
## 397 5 13 14 3.7098515 0.121870255 0.9633849051 0 0.847903657
## 398 5 13 14 3.7243543 0.120561010 0.9659149505 0 0.840786078
## 399 5 13 14 3.7472253 0.120961461 0.9727588864 0 0.827681963
## 400 5 13 14 3.7541968 0.121044161 0.9732543433 0 0.815411961
## 401 5 13 14 3.7864938 0.119682272 0.9742982394 0 0.810138254
## 402 5 13 14 3.7892218 0.119219150 0.9760593334 0 0.810696493
## 403 5 13 14 3.7616756 0.120538269 0.9756640064 0 0.809744147
## 404 5 13 14 3.6646010 0.123401167 0.9758076595 0 0.818108154
## 405 5 13 14 3.7694689 0.120433459 0.9766323619 0 0.811804856
## 406 5 13 14 3.7353489 0.120863463 0.9765713171 0 0.831115007
## 407 5 13 14 3.8182816 0.118269187 0.9796412012 0 0.813839083
## 408 5 13 14 3.9113174 0.116221157 0.9813145260 0 0.795447561
## 409 5 13 14 3.9260258 0.115614992 0.9837291572 0 0.774057281
## 410 5 13 14 3.9795711 0.115035560 0.9835459079 0 0.772813048
## 411 5 13 14 3.8927089 0.116958951 0.9823517483 0 0.773996030
## 412 5 13 14 3.9121273 0.117393353 0.9854734766 0 0.760438713
## 413 5 13 14 3.9617925 0.115607522 0.9865592032 0 0.745516558
## 414 5 13 14 4.0102318 0.114869282 0.9869044535 0 0.729721999
## 415 5 13 14 3.9927331 0.114855047 0.9867535800 0 0.735038614
## 416 5 13 14 3.9927331 0.114855047 0.9867535800 0 0.735038614
## 417 5 13 14 7.3063322 0.229751506 0.4921619199 0 0.226627771
## 418 5 13 14 7.3063322 0.229751506 0.4921619199 0 0.226627771
## 419 5 13 14 7.0001392 0.181179507 0.5167059907 0 0.199566034
## 420 5 13 14 7.0280066 0.140085406 0.5293971202 0 0.216279879
## 421 5 13 14 8.0703816 0.121745790 0.5472053191 0 0.223080840
## 422 5 13 14 8.1088291 0.119660067 0.5469790681 0 0.227556029
## 423 5 13 14 7.9310344 0.120284903 0.5397428060 0 0.238079707
## 424 5 13 14 7.4459259 0.125081482 0.5342814317 0 0.257392168
## 425 5 13 14 7.4310194 0.120332252 0.5672769441 0 0.254746516
## 426 5 13 14 7.4012263 0.119757963 0.5725862609 0 0.252588880
## 427 5 13 14 6.4189352 0.124118460 0.6546466018 0 0.259714689
## 428 5 13 14 5.9739307 0.125395377 0.7004205883 0 0.257729502
## 429 5 13 14 5.9147073 0.124281628 0.7148343788 0 0.262719265
## 430 5 13 14 5.9382240 0.123830544 0.7209933628 0 0.262140439
## 431 5 13 14 5.8741865 0.124062738 0.7296020047 0 0.264141109
## 432 5 13 14 5.7107881 0.126112489 0.7344630953 0 0.264221773
## 433 5 13 14 6.0634314 0.119701869 0.7296168615 0 0.263687763
## 434 5 13 14 6.0539153 0.122876531 0.7041080861 0 0.265852157
## 435 5 13 14 6.1970896 0.122605682 0.6765659670 0 0.261386030
## 436 5 13 14 6.3367331 0.121290066 0.6602399298 0 0.260956474
## 437 5 13 14 6.6288055 0.121082018 0.6143217755 0 0.256291673
## 438 5 13 14 5.8413059 0.127005809 0.6972635842 0 0.272533340
## 439 5 13 14 6.2163443 0.121948361 0.6883447831 0 0.251397262
## 440 5 13 14 6.4424977 0.118668687 0.6767507879 0 0.259725329
## 441 5 13 14 6.2385465 0.119649689 0.7160447315 0 0.253042832
## 442 5 13 14 6.0424791 0.122757710 0.7132836741 0 0.259016151
## 443 5 13 14 6.5192375 0.121965452 0.6488005078 0 0.251622020
## 444 5 13 14 6.4010180 0.124134330 0.6303328404 0 0.263337176
## 445 5 13 14 6.7214380 0.119333681 0.6223352742 0 0.253079264
## 446 5 13 14 6.7878829 0.118244195 0.6415314732 0 0.244750118
## 447 5 13 14 7.1006688 0.117055078 0.5892367287 0 0.243727403
## 448 5 13 14 6.9854740 0.116386908 0.6126603763 0 0.243460506
## 449 5 13 14 6.8112378 0.114607622 0.6449641561 0 0.242528519
## 450 5 13 14 6.9598431 0.116411147 0.6027717890 0 0.243029306
## 451 5 13 14 7.1747122 0.112379817 0.6347374627 0 0.231393284
## 452 5 13 14 6.9235033 0.110389385 0.6981781076 0 0.224735793
## 453 5 13 14 6.6857330 0.110597550 0.7233885395 0 0.225743740
## 454 5 13 14 6.6396004 0.111672421 0.7283731968 0 0.223349906
## 455 5 13 14 6.3947162 0.112640414 0.7568061184 0 0.225129763
## 456 5 13 14 6.2765813 0.112827009 0.7758842743 0 0.224129318
## 457 5 13 14 6.0236440 0.114878380 0.7985935715 0 0.229232600
## 458 5 13 14 5.7929502 0.115632173 0.8106114076 0 0.235871441
## 459 5 13 14 5.8254434 0.115794684 0.8061360415 0 0.234594914
## 460 5 13 14 5.7932990 0.116956845 0.8005372724 0 0.240271027
## 461 5 13 14 5.8340404 0.115766082 0.7943076186 0 0.242552992
## 462 5 13 14 5.7644085 0.117039610 0.7968996734 0 0.241087120
## 463 5 13 14 5.7091792 0.118017107 0.7961575509 0 0.241951874
## 464 5 13 14 5.5235361 0.119506256 0.8138758052 0 0.246765978
## 465 5 13 14 5.5091064 0.119969710 0.8073719442 0 0.249933211
## 466 5 13 14 5.4778335 0.119880121 0.7983262321 0 0.251746606
## 467 5 13 14 5.7023635 0.117658417 0.7837235955 0 0.247475014
## 468 5 13 14 5.6747721 0.118490929 0.7835064138 0 0.246409299
## 469 5 13 14 5.6747721 0.118490929 0.7835064138 0 0.246409299
## 470 5 13 14 5.7617217 0.120308585 0.7823517640 0 0.245788210
## 471 5 13 14 5.5240497 0.125259804 0.7823086514 0 0.243896482
## 472 5 13 14 5.6695352 0.124885460 0.7829386276 0 0.230314881
## 473 5 13 14 5.7153352 0.122125280 0.7920418191 0 0.241652179
## 474 5 13 14 5.5368927 0.124970510 0.7959769594 0 0.248935623
## 475 5 13 14 5.4735911 0.123876539 0.8120980465 0 0.248009509
## 476 5 13 14 5.3008670 0.125030132 0.8210543670 0 0.264643488
## 477 5 13 14 5.0730707 0.128602044 0.8254616858 0 0.272239811
## 478 5 13 14 5.1179599 0.126965551 0.8348222896 0 0.273102145
## 479 5 13 14 5.0028263 0.129146173 0.8391230060 0 0.272269657
## 480 5 13 14 4.8302870 0.132270952 0.8423597698 0 0.283261523
## 481 5 13 14 4.6253365 0.135837392 0.8529312297 0 0.291453915
## 482 5 13 14 4.6548661 0.133684109 0.8630761151 0 0.275424257
## 483 5 13 14 4.8309551 0.129103557 0.8671772360 0 0.275648193
## 484 5 13 14 4.7348721 0.129512155 0.8732127163 0 0.273083472
## 485 5 13 14 4.8246846 0.128810241 0.8721203014 0 0.273696790
## 486 5 13 14 4.8628975 0.127491989 0.8855501574 0 0.258049603
## 487 5 13 14 4.9756682 0.123315152 0.8986054224 0 0.249780946
## 488 5 13 14 4.9167115 0.123611605 0.9041384470 0 0.250944161
## 489 5 13 14 4.8437779 0.124352550 0.9150757489 0 0.249188199
## 490 5 13 14 4.8346613 0.124886809 0.9096002265 0 0.252543037
## 491 5 13 14 4.8650508 0.125130225 0.9102222782 0 0.254915553
## 492 5 13 14 4.9830115 0.121806814 0.9117360140 0 0.250270124
## 493 5 13 14 4.9906710 0.121720027 0.9101189490 0 0.241415735
## 494 5 13 14 5.0229322 0.122209414 0.9054406228 0 0.241765487
## 495 5 13 14 4.9608277 0.122923300 0.8982841858 0 0.252461649
## 496 5 13 14 5.1038045 0.120456350 0.8853673417 0 0.247728504
## 497 5 13 14 5.0892764 0.120884626 0.8806991365 0 0.250603386
## 498 5 13 14 4.9562509 0.121631083 0.9011096937 0 0.254848716
## 499 5 13 14 4.8050760 0.122663218 0.9150698796 0 0.252868350
## 500 5 13 14 4.7317177 0.121973876 0.9330042360 0 0.253067455
## 501 5 13 14 4.7541098 0.120608855 0.9352067395 0 0.258738751
## 502 5 13 14 4.7289437 0.120319083 0.9414440211 0 0.258299124
## 503 5 13 14 4.7277001 0.120418205 0.9411394342 0 0.253517136
## 504 5 13 14 4.7663955 0.119554993 0.9405635054 0 0.245690308
## 505 5 13 14 4.7482226 0.119485724 0.9412366041 0 0.248976168
## 506 5 13 14 4.8181207 0.118293073 0.9378209843 0 0.243298703
## 507 5 13 14 4.8724918 0.117782544 0.9388461859 0 0.237501169
## 508 5 13 14 4.8630853 0.118188714 0.9379010584 0 0.246482129
## 509 5 13 14 4.7703611 0.119333977 0.9414996628 0 0.245799582
## 510 5 13 14 4.7827867 0.119708328 0.9366539833 0 0.245134645
## 511 5 13 14 4.7190959 0.121529376 0.9343200410 0 0.250368823
## 512 5 13 14 4.7704236 0.119902674 0.9369551909 0 0.248364097
## 513 5 13 14 4.7756717 0.119447303 0.9375116177 0 0.248225956
## 514 5 13 14 4.7150590 0.121079317 0.9378548055 0 0.249033896
## 515 5 13 14 4.7588222 0.120325351 0.9374272756 0 0.246431032
## 516 5 13 14 4.6818753 0.120929474 0.9422889586 0 0.254091670
## 517 5 13 14 4.6476680 0.121254052 0.9412995118 0 0.255289410
## 518 5 13 14 4.6916168 0.121475532 0.9385671966 0 0.256523405
## 519 5 13 14 4.6609703 0.122012365 0.9377968350 0 0.259508939
## 520 5 13 14 4.6609703 0.122012365 0.9377968350 0 0.259508939
## 521 5 13 14 2.9412662 0.680189546 0.9756953456 0 0.710896300
## 522 5 13 14 2.9412662 0.680189546 0.9756953456 0 0.710896300
## 523 5 13 14 2.5066728 0.652927160 0.9784172680 0 0.708520067
## 524 5 13 14 1.8319138 0.639555732 0.9771512548 0 0.717097643
## 525 5 13 14 1.4592590 0.478452494 0.9777719725 0 0.726543699
## 526 5 13 14 1.8168150 0.401947398 0.9806177349 0 0.726949156
## 527 5 13 14 2.1569691 0.274223337 0.9865762916 0 0.737560825
## 528 5 13 14 2.4496967 0.225476302 0.9866466331 0 0.751818729
## 529 5 13 14 2.7769440 0.189090529 0.9851616891 0 0.762958879
## 530 5 13 14 3.3467553 0.158623427 0.9819873331 0 0.766119754
## 531 5 13 14 3.5657427 0.146392443 0.9835755481 0 0.753644287
## 532 5 13 14 3.6201369 0.144134805 0.9834625555 0 0.735036824
## 533 5 13 14 3.6932723 0.141684180 0.9833326127 0 0.708109773
## 534 5 13 14 3.8116935 0.138953639 0.9832733771 0 0.689032318
## 535 5 13 14 3.7272845 0.139943617 0.9825935897 0 0.662275417
## 536 5 13 14 3.7867121 0.138848944 0.9845154853 0 0.638163514
## 537 5 13 14 3.8853711 0.134945888 0.9857792973 0 0.610718890
## 538 5 13 14 3.9830425 0.132312875 0.9863429164 0 0.606479241
## 539 5 13 14 4.1047030 0.129508220 0.9876312688 0 0.589373943
## 540 5 13 14 4.1126488 0.129138537 0.9868863717 0 0.573740602
## 541 5 13 14 4.0244196 0.131250665 0.9857591605 0 0.570560479
## 542 5 13 14 4.0941413 0.126823222 0.9826442676 0 0.572573700
## 543 5 13 14 4.0769462 0.127595749 0.9841527861 0 0.572813771
## 544 5 13 14 3.9733247 0.129150012 0.9841002316 0 0.580985979
## 545 5 13 14 4.0430663 0.126792541 0.9851839336 0 0.574553028
## 546 5 13 14 3.9990639 0.127462011 0.9864177981 0 0.575805821
## 547 5 13 14 4.0692326 0.125285996 0.9860766346 0 0.571858337
## 548 5 13 14 4.1404299 0.125090432 0.9869035060 0 0.554442536
## 549 5 13 14 4.1613574 0.124082314 0.9867545585 0 0.553799816
## 550 5 13 14 4.1186876 0.124594836 0.9853557107 0 0.553176216
## 551 5 13 14 4.1646966 0.123595761 0.9850594558 0 0.530299020
## 552 5 13 14 4.2005857 0.123060216 0.9797094990 0 0.516628639
## 553 5 13 14 4.1667827 0.123927243 0.9779316485 0 0.523792537
## 554 5 13 14 4.2273818 0.120972864 0.9790326882 0 0.523200696
## 555 5 13 14 4.2384319 0.121068191 0.9781275648 0 0.521683436
## 556 5 13 14 4.1687541 0.123092754 0.9738887868 0 0.508618182
## 557 5 13 14 4.3017422 0.119381550 0.9754983159 0 0.509075016
## 558 5 13 14 4.3191369 0.118871672 0.9766062045 0 0.493885238
## 559 5 13 14 4.2974665 0.119365888 0.9797761746 0 0.489307819
## 560 5 13 14 4.3535023 0.117997392 0.9789018554 0 0.500990567
## 561 5 13 14 4.3388878 0.118026407 0.9799364425 0 0.492811260
## 562 5 13 14 4.4624881 0.115329343 0.9796310417 0 0.481532940
## 563 5 13 14 4.5351142 0.114818756 0.9796122933 0 0.465898588
## 564 5 13 14 4.5423562 0.114529280 0.9804324743 0 0.460778038
## 565 5 13 14 4.5227400 0.114937225 0.9823151572 0 0.453704205
## 566 5 13 14 4.4554330 0.116226621 0.9803952014 0 0.468412153
## 567 5 13 14 4.4538031 0.116372741 0.9806233604 0 0.469117596
## 568 5 13 14 4.5595433 0.113746091 0.9788747120 0 0.452982811
## 569 5 13 14 4.6135955 0.112708423 0.9795329737 0 0.442922223
## 570 5 13 14 4.5123468 0.115433189 0.9798966180 0 0.452885740
## 571 5 13 14 4.4747418 0.115505384 0.9797565371 0 0.466604057
## 572 5 13 14 4.4367180 0.116309484 0.9799563138 0 0.467674230
## 573 5 13 14 4.4367180 0.116309484 0.9799563138 0 0.467674230
## 574 5 13 14 4.4423597 0.120165984 0.9803651724 0 0.469333727
## 575 5 13 14 4.3698410 0.121644664 0.9802786457 0 0.463808819
## 576 5 13 14 4.2767389 0.124304040 0.9783848591 0 0.466092735
## 577 5 13 14 4.3449980 0.121716143 0.9801536765 0 0.467776450
## 578 5 13 14 4.2862958 0.124244809 0.9819225096 0 0.464518954
## 579 5 13 14 4.0606712 0.129022351 0.9862357490 0 0.482824251
## 580 5 13 14 4.1858415 0.125413911 0.9851467286 0 0.461987718
## 581 5 13 14 4.2537700 0.124220428 0.9830916304 0 0.466734475
## 582 5 13 14 4.2018738 0.123718573 0.9823509516 0 0.489433186
## 583 5 13 14 4.1511282 0.126016344 0.9773852908 0 0.471757367
## 584 5 13 14 4.2592432 0.123085337 0.9771371567 0 0.467198888
## 585 5 13 14 4.2055850 0.123658881 0.9757437068 0 0.464168314
## 586 5 13 14 4.1635018 0.126131766 0.9729982073 0 0.453732696
## 587 5 13 14 4.2490909 0.124097063 0.9734035905 0 0.447284503
## 588 5 13 14 4.0835749 0.128208484 0.9717265989 0 0.457456284
## 589 5 13 14 4.1842018 0.123926599 0.9712966288 0 0.470039074
## 590 5 13 14 4.0047558 0.128107305 0.9721813841 0 0.491301967
## 591 5 13 14 4.0422310 0.127052210 0.9758171803 0 0.494085528
## 592 5 13 14 4.0577802 0.126243656 0.9764086358 0 0.487898031
## 593 5 13 14 3.9256583 0.128850979 0.9768730242 0 0.506565963
## 594 5 13 14 4.0391981 0.126052146 0.9779165488 0 0.493000722
## 595 5 13 14 4.2939807 0.122142038 0.9815450165 0 0.459642380
## 596 5 13 14 4.3596297 0.118838013 0.9823549258 0 0.449453328
## 597 5 13 14 4.3795360 0.119002952 0.9834201616 0 0.443613164
## 598 5 13 14 4.4145955 0.118908113 0.9836712685 0 0.447388520
## 599 5 13 14 4.4414888 0.119044266 0.9835658104 0 0.431824226
## 600 5 13 14 4.3984016 0.118267520 0.9838084132 0 0.440866161
## 601 5 13 14 4.5323004 0.115575308 0.9833886506 0 0.430394343
## 602 5 13 14 4.5604780 0.115586954 0.9848729947 0 0.419773716
## 603 5 13 14 4.6593290 0.114117790 0.9847161954 0 0.403720430
## 604 5 13 14 4.6417329 0.113384484 0.9844449413 0 0.411165726
## 605 5 13 14 4.5180318 0.116264855 0.9858739239 0 0.417984206
## 606 5 13 14 4.4865159 0.116136271 0.9860675456 0 0.422023301
## 607 5 13 14 4.4597451 0.116977040 0.9847484788 0 0.423169992
## 608 5 13 14 4.3696256 0.119183000 0.9848786541 0 0.429924702
## 609 5 13 14 4.3615242 0.119402904 0.9853509256 0 0.424742899
## 610 5 13 14 4.4818365 0.116285897 0.9839180711 0 0.432165626
## 611 5 13 14 4.4427145 0.116568749 0.9844528950 0 0.424348511
## 612 5 13 14 4.4875995 0.115201476 0.9849913580 0 0.425238976
## 613 5 13 14 4.4400691 0.116513909 0.9865962553 0 0.421428170
## 614 5 13 14 4.4672207 0.114969005 0.9872200883 0 0.422678512
## 615 5 13 14 4.4227384 0.116433455 0.9872244465 0 0.421732480
## 616 5 13 14 4.4410540 0.116769141 0.9871373661 0 0.419947766
## 617 5 13 14 4.4603038 0.116635555 0.9873561386 0 0.415431493
## 618 5 13 14 4.5512432 0.114326264 0.9876231558 0 0.410935701
## 619 5 13 14 4.5552388 0.113714549 0.9874164594 0 0.408393184
## 620 5 13 14 4.5330732 0.115072619 0.9873005427 0 0.406235805
## 621 5 13 14 4.5348109 0.115395140 0.9879079634 0 0.405910799
## 622 5 13 14 4.6041513 0.113143773 0.9876574870 0 0.397747864
## 623 5 13 14 4.6178497 0.112936215 0.9867798544 0 0.390933440
## 624 5 13 14 4.6178497 0.112936215 0.9867798544 0 0.390933440
## 625 5 13 14 5.8174297 0.039730143 0.2595420642 0 0.009686305
## 626 5 13 14 5.8174297 0.039730143 0.2595420642 0 0.009686305
## 627 5 13 14 5.2121303 0.033727198 0.2346707449 0 0.012628985
## 628 5 13 14 8.8227314 0.031517175 0.3245316723 0 0.012538045
## 629 5 13 14 10.9634328 0.038454321 0.3810315735 0 0.022397087
## 630 5 13 14 15.8495033 0.053051515 0.4285921242 0 0.028710263
## 631 5 13 14 19.5848567 0.079775838 0.4650722814 0 0.031152360
## 632 5 13 14 22.8394268 0.120946663 0.4927028336 0 0.029613382
## 633 5 13 14 25.6707865 0.074288224 0.4995041611 0 0.060066179
## 634 5 13 14 41.0808708 0.059347780 0.4524521240 0 0.077878152
## 635 5 13 14 33.6854878 0.056652245 0.4220346342 0 0.090845345
## 636 5 13 14 34.5672201 0.051130068 0.4060971535 0 0.101468102
## 637 5 13 14 32.2388327 0.053117237 0.3808972135 0 0.106421048
## 638 5 13 14 29.7034973 0.052821734 0.3974204803 0 0.112991916
## 639 5 13 14 31.2287222 0.051616669 0.3815467851 0 0.113849650
## 640 5 13 14 34.6659986 0.052412469 0.3385505032 0 0.106521490
## 641 5 13 14 36.4030486 0.051673787 0.3077933453 0 0.111890918
## 642 5 13 14 38.5830437 0.050164745 0.3155036580 0 0.107360962
## 643 5 13 14 35.2069952 0.050791541 0.3422196210 0 0.112888350
## 644 5 13 14 33.0429031 0.052803049 0.3557035588 0 0.110226781
## 645 5 13 14 32.7249209 0.050979477 0.3586813159 0 0.116562510
## 646 5 13 14 30.9881031 0.054408523 0.3827612868 0 0.109248306
## 647 5 13 14 28.9151704 0.054586500 0.3789353235 0 0.120697271
## 648 5 13 14 28.4822283 0.053258428 0.4192151721 0 0.113211735
## 649 5 13 14 26.2558132 0.053415240 0.4707685480 0 0.110192715
## 650 5 13 14 26.1620705 0.052255243 0.4833394346 0 0.112394159
## 651 5 13 14 24.7544406 0.053394560 0.5081075365 0 0.110574300
## 652 5 13 14 22.2872722 0.054014793 0.5890293604 0 0.106145086
## 653 5 13 14 21.9454851 0.053342358 0.6253545170 0 0.101291396
## 654 5 13 14 21.2545410 0.052473423 0.6375620588 0 0.110967784
## 655 5 13 14 21.5523261 0.053699357 0.5933000859 0 0.109896932
## 656 5 13 14 21.5628358 0.053297646 0.5939896830 0 0.108146235
## 657 5 13 14 21.6675452 0.052719423 0.5823074273 0 0.112950687
## 658 5 13 14 21.7126571 0.054886795 0.5427351157 0 0.112261413
## 659 5 13 14 22.7434594 0.054215283 0.5302222002 0 0.109871397
## 660 5 13 14 21.0596754 0.053881805 0.5692676845 0 0.110839136
## 661 5 13 14 21.7028499 0.053456636 0.5640236935 0 0.110081416
## 662 5 13 14 24.0272138 0.053222141 0.5122843568 0 0.107215386
## 663 5 13 14 24.2827311 0.053892202 0.5095724571 0 0.105567796
## 664 5 13 14 23.2106306 0.054768522 0.5245653558 0 0.105619568
## 665 5 13 14 22.7724025 0.054054855 0.5566632809 0 0.105482569
## 666 5 13 14 21.8927581 0.054100975 0.5796299865 0 0.106275532
## 667 5 13 14 20.6504939 0.053777419 0.6219702424 0 0.106752516
## 668 5 13 14 21.2311125 0.054756297 0.6039157909 0 0.103796311
## 669 5 13 14 20.1260348 0.054672486 0.6254527150 0 0.106542855
## 670 5 13 14 19.4145840 0.054421523 0.6300630876 0 0.115046927
## 671 5 13 14 18.6057792 0.056084702 0.6373993220 0 0.113781792
## 672 5 13 14 19.2777859 0.054650344 0.6414899854 0 0.110968222
## 673 5 13 14 19.6825951 0.054629336 0.6402610178 0 0.107503566
## 674 5 13 14 19.7978253 0.055972544 0.6396188830 0 0.105711471
## 675 5 13 14 19.6812681 0.054913219 0.6482312854 0 0.109092171
## 676 5 13 14 19.2621457 0.055889312 0.6536034864 0 0.108278740
## 677 5 13 14 19.2621457 0.055889312 0.6536034864 0 0.108278740
## 678 5 13 14 18.6609490 0.057919615 0.6497814780 0 0.107206621
## 679 5 13 14 18.7912045 0.059181891 0.6523395570 0 0.104308022
## 680 5 13 14 18.6970551 0.060875620 0.6279685785 0 0.104829350
## 681 5 13 14 18.3003933 0.057623373 0.6596260471 0 0.114006703
## 682 5 13 14 19.7294597 0.059204226 0.5872806593 0 0.112740781
## 683 5 13 14 21.1502726 0.058916298 0.5774238282 0 0.102087029
## 684 5 13 14 21.4081830 0.058232307 0.5785360264 0 0.105729499
## 685 5 13 14 20.2970404 0.059620741 0.6016445129 0 0.106349426
## 686 5 13 14 21.3670076 0.059611299 0.5906866770 0 0.102461754
## 687 5 13 14 21.6087130 0.058639314 0.6095079199 0 0.100607123
## 688 5 13 14 20.0091843 0.060005533 0.6381632012 0 0.100886406
## 689 5 13 14 18.2633835 0.059841632 0.7065918210 0 0.105434194
## 690 5 13 14 19.8491706 0.058731533 0.6929059830 0 0.101719486
## 691 5 13 14 19.8419776 0.058932058 0.7019583634 0 0.096889163
## 692 5 13 14 19.6962095 0.059724834 0.6776676124 0 0.098504787
## 693 5 13 14 21.7634984 0.059328523 0.5723187217 0 0.102096147
## 694 5 13 14 23.5823527 0.060259251 0.5129420663 0 0.099424771
## 695 5 13 14 23.8279339 0.060551173 0.4908343286 0 0.098000563
## 696 5 13 14 25.4984582 0.060961240 0.4404945367 0 0.097730259
## 697 5 13 14 25.9709160 0.059283571 0.4442174992 0 0.095159187
## 698 5 13 14 27.7951741 0.060797643 0.4124735879 0 0.092540753
## 699 5 13 14 27.8754713 0.059864341 0.4141146729 0 0.092994425
## 700 5 13 14 27.2089268 0.060834259 0.4169873435 0 0.094802793
## 701 5 13 14 26.8687421 0.061681250 0.4148892869 0 0.094538833
## 702 5 13 14 29.2316034 0.060863763 0.3757379204 0 0.093327326
## 703 5 13 14 26.6883337 0.061809898 0.3925243171 0 0.097637713
## 704 5 13 14 28.0683493 0.060646623 0.3847876312 0 0.097656256
## 705 5 13 14 30.0049749 0.060144972 0.3603497061 0 0.094413738
## 706 5 13 14 28.5940955 0.060679617 0.3645929951 0 0.098210345
## 707 5 13 14 30.3865296 0.060686063 0.3514388733 0 0.095172880
## 708 5 13 14 30.5207973 0.061660178 0.3325124574 0 0.095175741
## 709 5 13 14 32.8911414 0.061912328 0.3088336033 0 0.094634684
## 710 5 13 14 32.6748105 0.061578315 0.3023929464 0 0.095915367
## 711 5 13 14 33.2555781 0.062339389 0.2951581235 0 0.093481622
## 712 5 13 14 34.7126197 0.062033859 0.2760909186 0 0.096617364
## 713 5 13 14 33.5768780 0.063215524 0.2754010285 0 0.096717238
## 714 5 13 14 33.3123732 0.063150686 0.2812967580 0 0.094893080
## 715 5 13 14 34.2208161 0.061372672 0.2910083236 0 0.094525211
## 716 5 13 14 36.9307546 0.062110477 0.2725546294 0 0.088316705
## 717 5 13 14 34.6959040 0.062452835 0.2964934030 0 0.088768968
## 718 5 13 14 35.6628653 0.063705106 0.2832922256 0 0.087472568
## 719 5 13 14 35.5790430 0.062689788 0.2822761062 0 0.089956626
## 720 5 13 14 36.1712448 0.062812923 0.2758144631 0 0.089286449
## 721 5 13 14 36.6482643 0.063995277 0.2743136287 0 0.087606746
## 722 5 13 14 37.3741335 0.063257033 0.2645191860 0 0.088868566
## 723 5 13 14 35.8405014 0.064203717 0.2687639414 0 0.089979758
## 724 5 13 14 35.0176081 0.063110589 0.2675807700 0 0.093487090
## 725 5 13 14 35.7641252 0.064020346 0.2524615136 0 0.093276186
## 726 5 13 14 38.5224260 0.064349978 0.2305248283 0 0.091590585
## 727 5 13 14 38.8001063 0.064150779 0.2326738932 0 0.090866020
## 728 5 13 14 38.8001063 0.064150779 0.2326738932 0 0.090866020
## 729 5 13 14 6.2852381 0.543752337 0.3356263675 0 0.305613871
## 730 5 13 14 6.2852381 0.543752337 0.3356263675 0 0.305613871
## 731 5 13 14 4.8229698 0.505877439 0.3273510654 0 0.289660118
## 732 5 13 14 5.0732745 0.398074531 0.3289954945 0 0.312802367
## 733 5 13 14 5.4705507 0.320181747 0.2576582078 0 0.292999002
## 734 5 13 14 6.2658531 0.251512710 0.2833569254 0 0.269095266
## 735 5 13 14 5.7128760 0.199410387 0.2839893580 0 0.360577127
## 736 5 13 14 5.8312070 0.176671151 0.3037517840 0 0.409071466
## 737 5 13 14 6.3182765 0.140018524 0.3085261035 0 0.475911334
## 738 5 13 14 8.1584306 0.124407231 0.3099804657 0 0.392547306
## 739 5 13 14 8.7848359 0.122798855 0.2700899386 0 0.363790816
## 740 5 13 14 8.6143962 0.123727358 0.2739690801 0 0.361306216
## 741 5 13 14 8.8951350 0.120476614 0.2452855430 0 0.366276118
## 742 5 13 14 9.3485385 0.122218367 0.2388869377 0 0.328191909
## 743 5 13 14 10.3803992 0.114061063 0.2322379745 0 0.307746793
## 744 5 13 14 10.6694082 0.111217927 0.2508229551 0 0.290830341
## 745 5 13 14 10.6084694 0.108235696 0.2794479462 0 0.281303117
## 746 5 13 14 9.8408322 0.113428288 0.2608589603 0 0.307049532
## 747 5 13 14 10.2162950 0.111472850 0.2503282621 0 0.303400652
## 748 5 13 14 10.2062176 0.113021937 0.2358925193 0 0.308528075
## 749 5 13 14 10.2327867 0.112979859 0.2199624284 0 0.315495334
## 750 5 13 14 10.9519344 0.106855027 0.2337676036 0 0.300125933
## 751 5 13 14 10.5898314 0.109093605 0.2288047538 0 0.307533557
## 752 5 13 14 10.7359486 0.109028450 0.2349226360 0 0.297728870
## 753 5 13 14 10.1711679 0.108479798 0.2482230112 0 0.313250399
## 754 5 13 14 10.1201498 0.111384292 0.2407034868 0 0.304857363
## 755 5 13 14 9.8180229 0.110488406 0.2597892502 0 0.306889191
## 756 5 13 14 9.5413013 0.113004021 0.2416680872 0 0.321475074
## 757 5 13 14 9.7440067 0.111019405 0.2534761987 0 0.310700740
## 758 5 13 14 9.4320265 0.112096484 0.2438472623 0 0.328999650
## 759 5 13 14 9.9993739 0.109052397 0.2455704311 0 0.308088766
## 760 5 13 14 9.7614689 0.111879402 0.2313536256 0 0.316704187
## 761 5 13 14 10.4331921 0.107162127 0.2331080384 0 0.303928747
## 762 5 13 14 10.2393719 0.105639854 0.2391546130 0 0.313408519
## 763 5 13 14 10.2170938 0.105185469 0.2420184191 0 0.316478932
## 764 5 13 14 9.7490111 0.108044680 0.2454918305 0 0.327673805
## 765 5 13 14 9.5295595 0.108494501 0.2517546810 0 0.331985939
## 766 5 13 14 9.4108317 0.107706687 0.2573822244 0 0.338403464
## 767 5 13 14 9.5180265 0.107239693 0.2466166204 0 0.339922303
## 768 5 13 14 9.2260209 0.108654416 0.2348277880 0 0.355004619
## 769 5 13 14 9.4535249 0.108983885 0.2072201397 0 0.351048992
## 770 5 13 14 9.6585400 0.107308693 0.1914098903 0 0.352722739
## 771 5 13 14 9.5984549 0.107666740 0.1935856819 0 0.353915017
## 772 5 13 14 9.4624856 0.108132414 0.2020121534 0 0.353100536
## 773 5 13 14 9.6195118 0.107346507 0.1952217176 0 0.353816824
## 774 5 13 14 9.2369908 0.108464723 0.2054392537 0 0.359503231
## 775 5 13 14 8.7333344 0.113017598 0.2069532528 0 0.368232855
## 776 5 13 14 9.0886418 0.109371611 0.1979465248 0 0.369065086
## 777 5 13 14 8.9624638 0.110534995 0.1940642629 0 0.370381579
## 778 5 13 14 9.0453958 0.111676326 0.1886927155 0 0.368594555
## 779 5 13 14 9.0726617 0.112590977 0.1828758780 0 0.364857822
## 780 5 13 14 9.3109284 0.111235225 0.1788826685 0 0.360370215
## 781 5 13 14 9.3109284 0.111235225 0.1788826685 0 0.360370215
## 782 5 13 14 9.3531923 0.114964577 0.1763473883 0 0.361592708
## 783 5 13 14 9.5365518 0.114886492 0.1743837000 0 0.350696399
## 784 5 13 14 9.7761192 0.108047382 0.1750209571 0 0.368298933
## 785 5 13 14 8.5757192 0.118517148 0.1801370276 0 0.389483322
## 786 5 13 14 8.3323484 0.118322872 0.1972742038 0 0.388467852
## 787 5 13 14 8.3011031 0.116169723 0.2123022207 0 0.397013554
## 788 5 13 14 7.8159617 0.115722722 0.2161638335 0 0.427958964
## 789 5 13 14 7.6296528 0.119848587 0.2075240686 0 0.421534292
## 790 5 13 14 7.6854546 0.118869014 0.2161693742 0 0.416815488
## 791 5 13 14 7.0764470 0.125978110 0.2048405271 0 0.435956709
## 792 5 13 14 7.2884304 0.124990349 0.1954423048 0 0.436538094
## 793 5 13 14 7.1335950 0.124622650 0.1907300934 0 0.445640153
## 794 5 13 14 7.2724883 0.121059061 0.2080700966 0 0.440254240
## 795 5 13 14 6.9934485 0.127960210 0.1948206906 0 0.437269336
## 796 5 13 14 7.6562931 0.117696472 0.2234611308 0 0.423291496
## 797 5 13 14 7.2666196 0.120939123 0.2264202397 0 0.430866738
## 798 5 13 14 7.4185829 0.117502448 0.2450051851 0 0.432519435
## 799 5 13 14 7.5612764 0.115021501 0.2461424664 0 0.422149929
## 800 5 13 14 7.4984311 0.117179389 0.2571688003 0 0.416970649
## 801 5 13 14 7.4149198 0.119616402 0.2392405944 0 0.422266710
## 802 5 13 14 7.4404775 0.117652589 0.2479347051 0 0.422084071
## 803 5 13 14 8.3138697 0.113106762 0.2444647247 0 0.381553218
## 804 5 13 14 8.2908730 0.112794307 0.2464349089 0 0.381227072
## 805 5 13 14 8.1973079 0.113350593 0.2441914594 0 0.387639820
## 806 5 13 14 7.3529823 0.116055241 0.3014424355 0 0.408245750
## 807 5 13 14 7.0727807 0.117798124 0.3344831518 0 0.412803396
## 808 5 13 14 6.4232011 0.119829103 0.4182275170 0 0.423298562
## 809 5 13 14 5.9172878 0.120487073 0.4719943174 0 0.451394884
## 810 5 13 14 5.8813960 0.120738935 0.4838237858 0 0.439695780
## 811 5 13 14 5.8911752 0.121766428 0.4780948367 0 0.438815236
## 812 5 13 14 5.8684087 0.123856830 0.4600758747 0 0.442297276
## 813 5 13 14 6.0158933 0.119665268 0.4632759240 0 0.437364380
## 814 5 13 14 6.0759365 0.120050209 0.4698338854 0 0.427102412
## 815 5 13 14 6.3594702 0.117720889 0.4360991582 0 0.420187782
## 816 5 13 14 6.1569667 0.118577581 0.4561350122 0 0.428471807
## 817 5 13 14 6.4288770 0.116067240 0.4776401497 0 0.399606870
## 818 5 13 14 6.3868849 0.114018287 0.4999810802 0 0.405425879
## 819 5 13 14 6.1207388 0.114847444 0.5442991160 0 0.406187740
## 820 5 13 14 5.8882159 0.115169081 0.5663140573 0 0.423644320
## 821 5 13 14 6.2537450 0.115649730 0.4949679767 0 0.415984827
## 822 5 13 14 6.1741685 0.116213244 0.5068616069 0 0.413046619
## 823 5 13 14 6.0563278 0.115290068 0.5270659547 0 0.420135340
## 824 5 13 14 6.1723209 0.115598916 0.4961957633 0 0.429128721
## 825 5 13 14 5.9988905 0.117299290 0.4634571547 0 0.452805625
## 826 5 13 14 6.2083116 0.115326701 0.4628659223 0 0.440635905
## 827 5 13 14 6.2466469 0.114406961 0.4608610879 0 0.435049513
## 828 5 13 14 6.3037883 0.114427378 0.4674929138 0 0.426752610
## 829 5 13 14 6.1467246 0.115096061 0.4821628181 0 0.433258658
## 830 5 13 14 6.1625809 0.115194159 0.4868031002 0 0.434148728
## 831 5 13 14 6.2542917 0.115485609 0.4518042439 0 0.431906449
## 832 5 13 14 6.2542917 0.115485609 0.4518042439 0 0.431906449
## 833 5 13 14 2.8732586 0.549277579 0.2539440163 0 0.065551419
## 834 5 13 14 2.8732586 0.549277579 0.2539440163 0 0.065551419
## 835 5 13 14 3.3037770 0.592025340 0.3040957304 0 0.060399498
## 836 5 13 14 4.9656819 0.624930031 0.3687490333 0 0.095141185
## 837 5 13 14 5.4705931 0.617575517 0.2825019765 0 0.142057761
## 838 5 13 14 6.8090869 0.461425669 0.2432621134 0 0.174079913
## 839 5 13 14 8.2747158 0.309453167 0.2976053420 0 0.124236269
## 840 5 13 14 6.8614951 0.254866390 0.3083111240 0 0.205978536
## 841 5 13 14 7.2929892 0.185572205 0.3028020874 0 0.271197107
## 842 5 13 14 7.4227077 0.156777010 0.3150087347 0 0.291948600
## 843 5 13 14 8.5342917 0.128496965 0.3616077733 0 0.275307886
## 844 5 13 14 9.9203092 0.112066489 0.3769087156 0 0.260427290
## 845 5 13 14 11.5512600 0.099760128 0.3754257764 0 0.235631156
## 846 5 13 14 12.0209425 0.096337633 0.3915980648 0 0.224059545
## 847 5 13 14 11.2729925 0.097607237 0.4269788016 0 0.231467749
## 848 5 13 14 10.9895995 0.097719894 0.4312648204 0 0.233735077
## 849 5 13 14 10.3960169 0.100830618 0.4341217215 0 0.242683871
## 850 5 13 14 10.1119621 0.099316441 0.4331113918 0 0.267047948
## 851 5 13 14 9.3239417 0.106676541 0.4112683849 0 0.286386518
## 852 5 13 14 8.5138343 0.110433233 0.4246983043 0 0.310155553
## 853 5 13 14 8.0852397 0.111119889 0.4412217752 0 0.313624205
## 854 5 13 14 7.5775605 0.111954955 0.4821225196 0 0.316733420
## 855 5 13 14 7.6949387 0.112169863 0.4672795755 0 0.322886017
## 856 5 13 14 7.6463879 0.111052546 0.4662990265 0 0.327764477
## 857 5 13 14 7.6911522 0.110332544 0.4938064643 0 0.318619979
## 858 5 13 14 7.6413204 0.111237195 0.4799432228 0 0.329358570
## 859 5 13 14 7.6601557 0.110420925 0.4716142546 0 0.332200973
## 860 5 13 14 7.3607043 0.113260832 0.4693846499 0 0.341567048
## 861 5 13 14 7.1306561 0.115210147 0.4614217059 0 0.353229181
## 862 5 13 14 7.0676376 0.115330029 0.4779530926 0 0.350493329
## 863 5 13 14 7.3993359 0.111863650 0.4845546539 0 0.328447520
## 864 5 13 14 7.1231272 0.113405821 0.4850418828 0 0.348251371
## 865 5 13 14 6.8117567 0.116905230 0.4796058400 0 0.368569274
## 866 5 13 14 6.8984362 0.114953232 0.4752314269 0 0.369886298
## 867 5 13 14 6.5203840 0.115307040 0.5250711257 0 0.373368263
## 868 5 13 14 6.4566631 0.117845518 0.5195315301 0 0.370654719
## 869 5 13 14 6.3921587 0.118406822 0.4985089217 0 0.380356266
## 870 5 13 14 6.1858382 0.122684529 0.4698480857 0 0.399507745
## 871 5 13 14 6.2780776 0.120600239 0.4611971008 0 0.405109843
## 872 5 13 14 6.8224315 0.114831787 0.4375779109 0 0.390450728
## 873 5 13 14 7.0613926 0.113134693 0.4341063183 0 0.385602303
## 874 5 13 14 7.2389268 0.110405469 0.4348001129 0 0.376991627
## 875 5 13 14 7.0672943 0.111484075 0.4218147624 0 0.393454779
## 876 5 13 14 6.8946427 0.113855593 0.4264252341 0 0.402032313
## 877 5 13 14 6.7582740 0.113562037 0.4480444511 0 0.399241895
## 878 5 13 14 6.7382465 0.113820168 0.4321563029 0 0.409540764
## 879 5 13 14 7.2126658 0.111595606 0.3812040439 0 0.400127021
## 880 5 13 14 7.4909380 0.111129859 0.3200366944 0 0.408267060
## 881 5 13 14 6.5251200 0.120218889 0.3243665843 0 0.443657254
## 882 5 13 14 6.7314440 0.117300003 0.3273791722 0 0.440426905
## 883 5 13 14 7.0053615 0.114218806 0.3199054744 0 0.431102623
## 884 5 13 14 7.0019385 0.113797595 0.3273043537 0 0.430548479
## 885 5 13 14 7.0019385 0.113797595 0.3273043537 0 0.430548479
## 886 5 13 14 7.0212929 0.116879615 0.3322011347 0 0.429992913
## 887 5 13 14 6.5979227 0.122749215 0.3467064803 0 0.430539161
## 888 5 13 14 6.4161866 0.121929968 0.3736270655 0 0.440046764
## 889 5 13 14 6.3759620 0.120855190 0.3876205241 0 0.441269572
## 890 5 13 14 6.2981040 0.122713685 0.3906694203 0 0.437490084
## 891 5 13 14 6.3400051 0.121930210 0.3787780018 0 0.441791238
## 892 5 13 14 6.3376871 0.119790470 0.3970981728 0 0.445484053
## 893 5 13 14 6.3333509 0.121529152 0.3772153563 0 0.441066921
## 894 5 13 14 6.1081846 0.121491712 0.4010213122 0 0.452795504
## 895 5 13 14 6.4155602 0.118509413 0.3549838391 0 0.452827428
## 896 5 13 14 6.0016606 0.121464650 0.3835536360 0 0.476384132
## 897 5 13 14 6.0239409 0.123004120 0.3773366198 0 0.466633508
## 898 5 13 14 6.0683554 0.122093929 0.3901516762 0 0.464202456
## 899 5 13 14 6.0093776 0.121490823 0.4020869058 0 0.470130143
## 900 5 13 14 5.9756705 0.121254006 0.4236637081 0 0.458104756
## 901 5 13 14 6.1162407 0.116191486 0.4645832146 0 0.452878946
## 902 5 13 14 5.7492584 0.121835653 0.4309880551 0 0.471276461
## 903 5 13 14 5.4966217 0.117360311 0.5502235088 0 0.477657383
## 904 5 13 14 5.4814216 0.117610920 0.5828512923 0 0.469529762
## 905 5 13 14 5.3611189 0.117000036 0.5870414948 0 0.486133455
## 906 5 13 14 5.0385913 0.120743017 0.6019934827 0 0.511667656
## 907 5 13 14 5.1401456 0.120248582 0.5944554281 0 0.501231388
## 908 5 13 14 5.1636031 0.120629386 0.5862082606 0 0.495528151
## 909 5 13 14 5.1764214 0.119550805 0.5874475111 0 0.491849161
## 910 5 13 14 5.1511311 0.119071218 0.6048177972 0 0.491406466
## 911 5 13 14 5.5438222 0.115546038 0.5608339349 0 0.477872229
## 912 5 13 14 5.7252515 0.113688956 0.5406915549 0 0.468226820
## 913 5 13 14 5.6668230 0.113401270 0.5538939960 0 0.470455871
## 914 5 13 14 5.4321037 0.116687568 0.5737092810 0 0.476254728
## 915 5 13 14 5.5548242 0.114144268 0.5794939728 0 0.469933834
## 916 5 13 14 5.5489244 0.112154789 0.6351770200 0 0.451285469
## 917 5 13 14 5.5285905 0.112217970 0.6454815255 0 0.445096970
## 918 5 13 14 5.5829659 0.112935969 0.6315782557 0 0.447974845
## 919 5 13 14 5.4730126 0.111607973 0.6661987578 0 0.453850521
## 920 5 13 14 5.2713668 0.113219171 0.6909258818 0 0.461669931
## 921 5 13 14 5.3047271 0.113167452 0.6861982275 0 0.469765321
## 922 5 13 14 5.2691354 0.112708673 0.6977492432 0 0.473663590
## 923 5 13 14 5.2440361 0.113792422 0.6929318286 0 0.466302752
## 924 5 13 14 5.2268355 0.114334759 0.7021147702 0 0.459561449
## 925 5 13 14 5.3550852 0.111869898 0.7068064326 0 0.457266128
## 926 5 13 14 5.3066856 0.110509466 0.7265857705 0 0.458112449
## 927 5 13 14 5.4065033 0.110036618 0.7253106081 0 0.444049777
## 928 5 13 14 5.3625958 0.110261145 0.7279153859 0 0.443540268
## 929 5 13 14 5.1762615 0.112526430 0.7284254999 0 0.458417666
## 930 5 13 14 5.0492634 0.114841383 0.7327134704 0 0.465627262
## 931 5 13 14 4.9883902 0.115113510 0.7382863451 0 0.471003762
## 932 5 13 14 5.0776555 0.114403272 0.7278554426 0 0.465400654
## 933 5 13 14 5.2268764 0.111431841 0.7351727987 0 0.447541684
## 934 5 13 14 5.2583288 0.111277075 0.7294112342 0 0.440046276
## 935 5 13 14 5.1920034 0.110450974 0.7543569833 0 0.439930922
## 936 5 13 14 5.1920034 0.110450974 0.7543569833 0 0.439930922
## 937 5 13 14 5.0632477 0.074157046 0.3835067804 0 0.269791572
## 938 5 13 14 5.0632477 0.074157046 0.3835067804 0 0.269791572
## 939 5 13 14 6.1273392 0.101913531 0.3813594120 0 0.446244416
## 940 5 13 14 6.9871785 0.109060837 0.3718618223 0 0.500289492
## 941 5 13 14 6.9519134 0.120291682 0.3725885147 0 0.464003274
## 942 5 13 14 6.5209005 0.132798177 0.3730798261 0 0.436660140
## 943 5 13 14 6.4793176 0.134434976 0.3560349393 0 0.432049438
## 944 5 13 14 6.6196122 0.134217537 0.3317490610 0 0.423923636
## 945 5 13 14 6.6094635 0.134251895 0.3269672756 0 0.429280203
## 946 5 13 14 6.5521201 0.132373654 0.3631181452 0 0.406937262
## 947 5 13 14 6.3671435 0.132449774 0.4094118126 0 0.397679857
## 948 5 13 14 6.4226844 0.128732649 0.4207097020 0 0.397086755
## 949 5 13 14 6.4841231 0.125730832 0.4550247217 0 0.381306048
## 950 5 13 14 6.9429944 0.122344877 0.4403244351 0 0.365833762
## 951 5 13 14 6.7638948 0.121950872 0.4616785601 0 0.362774755
## 952 5 13 14 6.9915156 0.120495055 0.4576157796 0 0.352360245
## 953 5 13 14 7.0183597 0.119246421 0.4590545774 0 0.353721422
## 954 5 13 14 7.0491956 0.119759390 0.4492190271 0 0.354056201
## 955 5 13 14 7.1113692 0.118549478 0.4457342547 0 0.355521421
## 956 5 13 14 6.7103351 0.118114886 0.5199460593 0 0.330040643
## 957 5 13 14 6.6701836 0.116626366 0.5153395528 0 0.340549886
## 958 5 13 14 6.7573165 0.114414529 0.5264700447 0 0.342421174
## 959 5 13 14 6.5204427 0.117930145 0.5202710198 0 0.350717507
## 960 5 13 14 6.5348883 0.117075770 0.5238406839 0 0.356180120
## 961 5 13 14 6.4172098 0.117634191 0.5244814636 0 0.353717194
## 962 5 13 14 6.7165898 0.114179600 0.5042294055 0 0.350988781
## 963 5 13 14 6.5803613 0.115338505 0.5237836976 0 0.347019640
## 964 5 13 14 6.7338460 0.112005021 0.5203001151 0 0.350774590
## 965 5 13 14 6.7101959 0.112305495 0.5185945448 0 0.349419544
## 966 5 13 14 6.8497022 0.112482038 0.4793893140 0 0.361509027
## 967 5 13 14 6.5218262 0.117393005 0.4699086702 0 0.374968011
## 968 5 13 14 6.5448461 0.118210031 0.4598807992 0 0.372665258
## 969 5 13 14 6.7053029 0.115250410 0.4484172694 0 0.380327030
## 970 5 13 14 6.6489295 0.115038502 0.4650642408 0 0.381685119
## 971 5 13 14 6.5779659 0.115667830 0.4748482279 0 0.376072588
## 972 5 13 14 6.6343868 0.114803498 0.4795857308 0 0.368805855
## 973 5 13 14 6.6781617 0.115051696 0.4776865468 0 0.365797577
## 974 5 13 14 6.7714297 0.114237651 0.4659073983 0 0.368572760
## 975 5 13 14 6.5704133 0.115085117 0.4768145584 0 0.375107174
## 976 5 13 14 6.4332193 0.115932813 0.4854704082 0 0.377763753
## 977 5 13 14 6.5309533 0.115336597 0.4791427303 0 0.377654373
## 978 5 13 14 6.5096672 0.115805531 0.4782162383 0 0.374803697
## 979 5 13 14 6.4461976 0.114652896 0.5033501159 0 0.370926878
## 980 5 13 14 6.4781100 0.115047475 0.4969177147 0 0.371246959
## 981 5 13 14 6.4580989 0.115094584 0.5020625480 0 0.369837517
## 982 5 13 14 6.5584438 0.113231519 0.5011718275 0 0.370164335
## 983 5 13 14 6.4713950 0.114800488 0.4962715428 0 0.371502165
## 984 5 13 14 6.3220229 0.116884530 0.5010797167 0 0.373100681
## 985 5 13 14 6.2786362 0.116757854 0.5056751034 0 0.370760904
## 986 5 13 14 6.3618737 0.115917409 0.5087583201 0 0.366062113
## 987 5 13 14 6.3745651 0.115452877 0.5120730007 0 0.363881320
## 988 5 13 14 6.3099502 0.115175839 0.5250826447 0 0.365065342
## 989 5 13 14 6.3099502 0.115175839 0.5250826447 0 0.365065342
## 990 5 13 14 6.2029809 0.119839761 0.5290566898 0 0.363301615
## 991 5 13 14 6.2001057 0.120360204 0.5246420721 0 0.359938222
## 992 5 13 14 6.3036930 0.118647058 0.5291276189 0 0.355748775
## 993 5 13 14 6.1901822 0.122047354 0.5149936152 0 0.363532370
## 994 5 13 14 6.1111991 0.123640674 0.4971778361 0 0.376815830
## 995 5 13 14 6.3326271 0.124673913 0.4819781594 0 0.363125923
## 996 5 13 14 6.2369326 0.125076417 0.4722224833 0 0.371068156
## 997 5 13 14 6.4529504 0.122576059 0.4595499913 0 0.367349825
## 998 5 13 14 6.5128425 0.121687363 0.4730541427 0 0.364721681
## 999 5 13 14 6.2639532 0.124428765 0.4714235242 0 0.378084029
## 1000 5 13 14 5.8306739 0.132219072 0.4709096489 0 0.397667022
## 1001 5 13 14 5.7359995 0.131028005 0.5293675367 0 0.378881866
## 1002 5 13 14 5.9313964 0.125160172 0.5859416329 0 0.360273156
## 1003 5 13 14 5.7018209 0.124291326 0.6401125559 0 0.356239701
## 1004 5 13 14 5.7983042 0.123646696 0.6544269896 0 0.336743886
## 1005 5 13 14 5.9131739 0.121589678 0.6648608698 0 0.323946296
## 1006 5 13 14 6.0379874 0.118725512 0.6679236161 0 0.324607235
## 1007 5 13 14 6.0417572 0.117370584 0.6600238069 0 0.322195860
## 1008 5 13 14 6.1692821 0.117890515 0.6475542861 0 0.318554231
## 1009 5 13 14 6.2585223 0.116801218 0.6381942469 0 0.312503721
## 1010 5 13 14 6.2055170 0.118114999 0.6373808875 0 0.322737090
## 1011 5 13 14 6.1826314 0.117662664 0.6403833771 0 0.317001682
## 1012 5 13 14 6.2601472 0.117669501 0.6401916450 0 0.311265030
## 1013 5 13 14 5.7326651 0.121711215 0.6700694934 0 0.327089857
## 1014 5 13 14 5.7780665 0.120718012 0.6880496936 0 0.326108159
## 1015 5 13 14 5.6293521 0.121778169 0.7037115783 0 0.320990238
## 1016 5 13 14 5.9538735 0.116472897 0.6897103286 0 0.314439351
## 1017 5 13 14 5.8343796 0.118395831 0.6926437534 0 0.315279181
## 1018 5 13 14 5.8425808 0.120532308 0.6777793457 0 0.315787915
## 1019 5 13 14 5.7791173 0.118144942 0.6870287791 0 0.317886945
## 1020 5 13 14 5.7420592 0.119785255 0.6763481438 0 0.319992496
## 1021 5 13 14 5.9021079 0.117023382 0.6671997393 0 0.315797027
## 1022 5 13 14 5.7173382 0.120011893 0.6619602489 0 0.325286193
## 1023 5 13 14 5.7285419 0.118986212 0.6729673990 0 0.321639119
## 1024 5 13 14 5.6208275 0.120161871 0.6875005725 0 0.326709254
## 1025 5 13 14 5.5090047 0.122522060 0.6835514734 0 0.326676431
## 1026 5 13 14 5.4877800 0.121664749 0.7051066910 0 0.323880838
## 1027 5 13 14 5.7418367 0.118179698 0.6939633034 0 0.312496141
## 1028 5 13 14 5.7293851 0.118217039 0.6838505006 0 0.316870970
## 1029 5 13 14 5.6974050 0.118474339 0.6973579721 0 0.308801815
## 1030 5 13 14 5.7083065 0.116985948 0.7163956508 0 0.307594838
## 1031 5 13 14 5.7109447 0.116019890 0.7232083235 0 0.309227833
## 1032 5 13 14 5.7308645 0.116151130 0.7119059004 0 0.311077166
## 1033 5 13 14 5.7131901 0.114744166 0.7397867188 0 0.310099098
## 1034 5 13 14 5.4080794 0.118258490 0.7693454477 0 0.313474817
## 1035 5 13 14 5.3148925 0.119578241 0.7797545401 0 0.308680444
## 1036 5 13 14 5.3460623 0.118064148 0.7870391406 0 0.306262135
## 1037 5 13 14 5.5196805 0.115624335 0.7801771462 0 0.297327104
## 1038 5 13 14 5.3359303 0.116963650 0.8057253528 0 0.304772244
## 1039 5 13 14 5.2171288 0.118094551 0.8196058735 0 0.312426205
## 1040 5 13 14 5.2171288 0.118094551 0.8196058735 0 0.312426205
## 1041 5 13 14 7.5059312 0.079721755 0.0676374762 0 0.675509168
## 1042 5 13 14 7.5059312 0.079721755 0.0676374762 0 0.675509168
## 1043 5 13 14 7.7798209 0.084595107 0.0445466931 0 0.587919102
## 1044 5 13 14 6.2411185 0.111363531 0.0493682192 0 0.615603969
## 1045 5 13 14 6.5161119 0.136000237 0.0456457620 0 0.586069549
## 1046 5 13 14 6.8966481 0.148161265 0.0395463471 0 0.508887761
## 1047 5 13 14 7.8838079 0.149121779 0.0344119049 0 0.438266540
## 1048 5 13 14 9.3539054 0.149886871 0.0325437087 0 0.364051796
## 1049 5 13 14 10.3690647 0.143399645 0.0331119287 0 0.339699062
## 1050 5 13 14 11.9737299 0.136501249 0.0296529909 0 0.307781930
## 1051 5 13 14 12.8315717 0.129107800 0.0268422946 0 0.302977394
## 1052 5 13 14 12.7238261 0.128838264 0.0273925145 0 0.305015431
## 1053 5 13 14 13.6299003 0.127523330 0.0230440862 0 0.289834964
## 1054 5 13 14 13.0028243 0.135155083 0.0219047872 0 0.284107787
## 1055 5 13 14 13.8577782 0.128166560 0.0211374161 0 0.281748982
## 1056 5 13 14 13.7098351 0.130640096 0.0220552711 0 0.278276937
## 1057 5 13 14 14.0383685 0.127793821 0.0237736731 0 0.275586911
## 1058 5 13 14 14.3726717 0.124196303 0.0233308447 0 0.275966533
## 1059 5 13 14 13.6541320 0.128656029 0.0239246338 0 0.279576390
## 1060 5 13 14 13.1130584 0.127759060 0.0253463404 0 0.288419228
## 1061 5 13 14 13.3806146 0.128114546 0.0265788644 0 0.281292929
## 1062 5 13 14 14.6725637 0.122760503 0.0285390604 0 0.266999007
## 1063 5 13 14 14.8500619 0.122041732 0.0290865176 0 0.264853134
## 1064 5 13 14 16.2547605 0.120485264 0.0291256441 0 0.245451127
## 1065 5 13 14 16.8054875 0.118669468 0.0271075792 0 0.240258498
## 1066 5 13 14 15.7759533 0.119032015 0.0332160895 0 0.248573908
## 1067 5 13 14 14.8439952 0.117348368 0.0406139863 0 0.264469504
## 1068 5 13 14 13.8651307 0.120963818 0.0500212567 0 0.269899882
## 1069 5 13 14 13.7580464 0.120723005 0.0514658120 0 0.272302409
## 1070 5 13 14 13.7438106 0.121955887 0.0511301432 0 0.268641712
## 1071 5 13 14 13.6530874 0.122603248 0.0511664201 0 0.267697333
## 1072 5 13 14 13.7915116 0.121136661 0.0541859483 0 0.268760085
## 1073 5 13 14 14.6921356 0.116738128 0.0517901977 0 0.257327219
## 1074 5 13 14 14.9832475 0.116082379 0.0475520462 0 0.257767092
## 1075 5 13 14 14.4621769 0.117396128 0.0521201546 0 0.261946019
## 1076 5 13 14 14.3308222 0.118667641 0.0504879318 0 0.260235190
## 1077 5 13 14 14.7009940 0.118076463 0.0602778360 0 0.250506191
## 1078 5 13 14 14.1442303 0.119894524 0.0634348767 0 0.254230381
## 1079 5 13 14 13.7693599 0.119760435 0.0762192940 0 0.252187144
## 1080 5 13 14 12.9533994 0.120704786 0.0934408614 0 0.254168802
## 1081 5 13 14 12.8772048 0.120420347 0.0991483499 0 0.259221774
## 1082 5 13 14 12.3785634 0.121459854 0.1058542046 0 0.259352023
## 1083 5 13 14 12.5795759 0.119282530 0.1068999129 0 0.259535636
## 1084 5 13 14 12.5039410 0.121028719 0.1132925522 0 0.255061558
## 1085 5 13 14 12.8691010 0.117765215 0.1181290098 0 0.251910355
## 1086 5 13 14 12.5617104 0.118905268 0.1272399052 0 0.254165809
## 1087 5 13 14 12.4557090 0.118553914 0.1311034657 0 0.253269796
## 1088 5 13 14 12.5149967 0.118194047 0.1344965639 0 0.249952793
## 1089 5 13 14 12.4537800 0.119121405 0.1349356036 0 0.249831011
## 1090 5 13 14 12.3761705 0.117041205 0.1452181314 0 0.249881728
## 1091 5 13 14 12.1078664 0.118197652 0.1560071218 0 0.249794305
## 1092 5 13 14 12.1387684 0.118294870 0.1509251601 0 0.250791568
## 1093 5 13 14 12.1387684 0.118294870 0.1509251601 0 0.250791568
## 1094 5 13 14 12.2434966 0.121823080 0.1492948819 0 0.250996065
## 1095 5 13 14 12.4075859 0.123236906 0.1408565885 0 0.249470470
## 1096 5 13 14 12.5200056 0.123887718 0.1461373203 0 0.241661211
## 1097 5 13 14 12.6139063 0.123895928 0.1365969474 0 0.240465830
## 1098 5 13 14 12.2836876 0.122922537 0.1290818413 0 0.253472173
## 1099 5 13 14 12.1479996 0.127044063 0.1205428871 0 0.252592610
## 1100 5 13 14 12.7348467 0.125103128 0.1158876749 0 0.247419737
## 1101 5 13 14 12.3833243 0.124530048 0.1208174725 0 0.249467562
## 1102 5 13 14 12.3901519 0.123858229 0.1165211040 0 0.253591387
## 1103 5 13 14 11.5506950 0.128173645 0.1164539803 0 0.260615565
## 1104 5 13 14 11.7129911 0.126611257 0.1398128107 0 0.248866132
## 1105 5 13 14 11.6627476 0.124032040 0.1462751105 0 0.252534412
## 1106 5 13 14 11.3661845 0.126207620 0.1380062460 0 0.255396168
## 1107 5 13 14 11.1858077 0.127169785 0.1313696958 0 0.259916478
## 1108 5 13 14 11.7514372 0.123630578 0.1307603557 0 0.255308125
## 1109 5 13 14 11.7674405 0.125264152 0.1341018162 0 0.251685342
## 1110 5 13 14 11.5104781 0.125643244 0.1292128404 0 0.256633142
## 1111 5 13 14 10.9861385 0.126442231 0.1339938510 0 0.265069687
## 1112 5 13 14 11.5061020 0.123713430 0.1222536769 0 0.267475956
## 1113 5 13 14 11.6472467 0.123803686 0.1237183670 0 0.260585943
## 1114 5 13 14 11.2952501 0.124276834 0.1270265082 0 0.262424860
## 1115 5 13 14 11.3580779 0.123424859 0.1153652745 0 0.272490368
## 1116 5 13 14 11.1982603 0.125695528 0.1196775498 0 0.269278883
## 1117 5 13 14 10.8774476 0.124796369 0.1322280016 0 0.273715968
## 1118 5 13 14 10.4606436 0.125607215 0.1437256804 0 0.276298921
## 1119 5 13 14 10.0923827 0.128634146 0.1378830290 0 0.284072417
## 1120 5 13 14 9.9670210 0.128432926 0.1440814586 0 0.286667360
## 1121 5 13 14 10.3523442 0.126150008 0.1490236711 0 0.275733991
## 1122 5 13 14 10.5393576 0.125077195 0.1473303091 0 0.271808650
## 1123 5 13 14 10.5707689 0.125219190 0.1450583044 0 0.271160531
## 1124 5 13 14 9.9794369 0.131769956 0.1514846074 0 0.269169733
## 1125 5 13 14 10.6800731 0.126778195 0.1381946047 0 0.266475136
## 1126 5 13 14 11.0546884 0.124782719 0.1397077499 0 0.259318065
## 1127 5 13 14 11.4288289 0.122916779 0.1432308401 0 0.249770674
## 1128 5 13 14 11.7314532 0.121486335 0.1436836827 0 0.244977312
## 1129 5 13 14 11.7913527 0.121059628 0.1395073096 0 0.245851737
## 1130 5 13 14 11.9909630 0.120032092 0.1436955322 0 0.240822438
## 1131 5 13 14 12.2060861 0.120725872 0.1407208697 0 0.235637495
## 1132 5 13 14 12.2042717 0.121202071 0.1368611923 0 0.233637353
## 1133 5 13 14 11.9590814 0.121213705 0.1381183761 0 0.239620399
## 1134 5 13 14 12.0855641 0.121494055 0.1316705089 0 0.239956596
## 1135 5 13 14 12.1553749 0.121369121 0.1316627730 0 0.238225750
## 1136 5 13 14 12.3816430 0.120569236 0.1208560372 0 0.242213686
## 1137 5 13 14 12.2793322 0.121626939 0.1166049715 0 0.245580586
## 1138 5 13 14 11.9598994 0.124260460 0.1101941814 0 0.248195025
## 1139 5 13 14 11.7804153 0.125387038 0.1006464032 0 0.257217396
## 1140 5 13 14 12.1300039 0.121879301 0.1035963259 0 0.254663710
## 1141 5 13 14 12.2961791 0.121535882 0.0996782954 0 0.252460504
## 1142 5 13 14 12.7833794 0.120364824 0.1050543494 0 0.242639233
## 1143 5 13 14 13.0907874 0.120636601 0.1052520500 0 0.235648846
## 1144 5 13 14 13.0907874 0.120636601 0.1052520500 0 0.235648846
## 1145 5 13 14 4.0309792 0.728005583 0.9168536118 0 0.880361398
## 1146 5 13 14 4.0309792 0.728005583 0.9168536118 0 0.880361398
## 1147 5 13 14 2.7563737 0.733242773 0.9101123070 0 0.862180911
## 1148 5 13 14 2.9498666 0.715881239 0.9053697510 0 0.857609428
## 1149 5 13 14 2.5687722 0.694105042 0.9021318567 0 0.861702747
## 1150 5 13 14 1.9848777 0.533588214 0.9339355328 0 0.860454059
## 1151 5 13 14 2.3488534 0.430242270 0.9545765647 0 0.853361290
## 1152 5 13 14 2.3295045 0.340222845 0.9614444812 0 0.848596860
## 1153 5 13 14 2.9330923 0.275404822 0.9635626664 0 0.858196731
## 1154 5 13 14 3.1386759 0.229752288 0.9663025142 0 0.876713834
## 1155 5 13 14 3.4876716 0.204574843 0.9722317347 0 0.886699618
## 1156 5 13 14 3.4362222 0.185725851 0.9693754654 0 0.874836909
## 1157 5 13 14 4.1522976 0.150192475 0.9720183084 0 0.888449901
## 1158 5 13 14 4.3315021 0.144666531 0.9725326427 0 0.879371107
## 1159 5 13 14 4.4023819 0.137394361 0.9716274407 0 0.868072520
## 1160 5 13 14 4.2577224 0.134768391 0.9692285450 0 0.840126682
## 1161 5 13 14 4.4803759 0.127356255 0.9687810897 0 0.837782071
## 1162 5 13 14 4.4927999 0.126956416 0.9687703071 0 0.845336222
## 1163 5 13 14 4.2761552 0.127635570 0.9728051417 0 0.868171009
## 1164 5 13 14 4.0747069 0.131599477 0.9709870855 0 0.859050193
## 1165 5 13 14 4.1645222 0.128012572 0.9725424801 0 0.871193121
## 1166 5 13 14 4.1989250 0.126443275 0.9743591691 0 0.873175533
## 1167 5 13 14 4.1607546 0.125607670 0.9763192428 0 0.882224653
## 1168 5 13 14 4.0213365 0.129116910 0.9747002748 0 0.899351886
## 1169 5 13 14 4.0058802 0.129409276 0.9708150661 0 0.904585479
## 1170 5 13 14 4.1737069 0.123534317 0.9651884727 0 0.916250951
## 1171 5 13 14 4.2512201 0.120834183 0.9615227478 0 0.913951905
## 1172 5 13 14 4.2138904 0.120374327 0.9623507681 0 0.914136561
## 1173 5 13 14 4.3481041 0.118252725 0.9627269677 0 0.915638041
## 1174 5 13 14 4.1521984 0.123703023 0.9582583129 0 0.920637290
## 1175 5 13 14 3.9850725 0.126144195 0.9558204012 0 0.933086154
## 1176 5 13 14 4.1380557 0.122754525 0.9561939685 0 0.937016129
## 1177 5 13 14 4.0991831 0.121588863 0.9565569624 0 0.941057337
## 1178 5 13 14 4.1190189 0.120578756 0.9590323848 0 0.938127684
## 1179 5 13 14 4.0713766 0.121777512 0.9582815375 0 0.938523687
## 1180 5 13 14 4.0370711 0.121715675 0.9499525093 0 0.943790866
## 1181 5 13 14 3.9463409 0.123788124 0.9493948651 0 0.945031313
## 1182 5 13 14 3.9567359 0.123667587 0.9462970089 0 0.950497493
## 1183 5 13 14 3.9378070 0.124534534 0.9450533214 0 0.956153318
## 1184 5 13 14 3.9312698 0.123959573 0.9385525655 0 0.953890749
## 1185 5 13 14 3.9704806 0.122363453 0.9297529357 0 0.956790524
## 1186 5 13 14 3.9139613 0.123794743 0.9277696147 0 0.962033143
## 1187 5 13 14 3.9769804 0.121183852 0.9292976855 0 0.960938567
## 1188 5 13 14 3.9221557 0.124123605 0.9258652185 0 0.964430651
## 1189 5 13 14 3.9832359 0.122118077 0.9281380238 0 0.965442865
## 1190 5 13 14 3.9241756 0.123000608 0.9238791486 0 0.967189312
## 1191 5 13 14 3.8879933 0.123478041 0.9237041095 0 0.966940057
## 1192 5 13 14 3.9483290 0.121609329 0.9301105997 0 0.964080509
## 1193 5 13 14 3.9459278 0.120946908 0.9296108570 0 0.963199926
## 1194 5 13 14 3.9781042 0.120781404 0.9280886357 0 0.961759192
## 1195 5 13 14 3.9935740 0.119782614 0.9138387652 0 0.962218122
## 1196 5 13 14 4.0412422 0.118741714 0.9007394425 0 0.959808161
## 1197 5 13 14 4.0412422 0.118741714 0.9007394425 0 0.959808161
## 1198 5 13 14 4.0938809 0.119159594 0.8991576877 0 0.959277085
## 1199 5 13 14 3.9387195 0.124574489 0.8997629698 0 0.958835888
## 1200 5 13 14 3.9650358 0.122240478 0.8986195737 0 0.958463210
## 1201 5 13 14 3.7955056 0.128180262 0.8836635340 0 0.961626718
## 1202 5 13 14 3.9171168 0.124510041 0.8870718277 0 0.956497330
## 1203 5 13 14 3.8654873 0.125212780 0.8822727125 0 0.963618523
## 1204 5 13 14 3.9326631 0.125172107 0.8856156865 0 0.964937782
## 1205 5 13 14 3.9168197 0.124129446 0.8763453480 0 0.968887295
## 1206 5 13 14 3.9734592 0.123432216 0.8837291913 0 0.966420778
## 1207 5 13 14 3.9633321 0.122280127 0.8706168311 0 0.969711648
## 1208 5 13 14 3.9955585 0.120442320 0.8543189939 0 0.972021338
## 1209 5 13 14 4.0771433 0.118290481 0.8523755962 0 0.973124699
## 1210 5 13 14 4.0353632 0.119383018 0.8464382618 0 0.974502770
## 1211 5 13 14 3.9864211 0.121448058 0.8464824801 0 0.969381847
## 1212 5 13 14 3.9634267 0.121613970 0.8273823993 0 0.975478505
## 1213 5 13 14 4.0317481 0.116827205 0.8298879359 0 0.980207598
## 1214 5 13 14 4.0750884 0.115326564 0.8116575126 0 0.981366454
## 1215 5 13 14 4.0695368 0.115089919 0.7891095942 0 0.984179603
## 1216 5 13 14 4.1167872 0.113773834 0.8117920296 0 0.984687250
## 1217 5 13 14 4.2017484 0.110162403 0.7623665922 0 0.988600825
## 1218 5 13 14 4.1944284 0.111188676 0.7437884200 0 0.989728695
## 1219 5 13 14 4.1006262 0.111464358 0.7321852193 0 0.989254455
## 1220 5 13 14 4.1874376 0.109422683 0.7147750979 0 0.989131418
## 1221 5 13 14 4.2313624 0.108367732 0.7188467753 0 0.988700668
## 1222 5 13 14 4.2345725 0.108210625 0.7048193134 0 0.987491566
## 1223 5 13 14 4.3326412 0.106380813 0.7202605214 0 0.986051316
## 1224 5 13 14 4.3725586 0.105666897 0.7343825233 0 0.984560208
## 1225 5 13 14 4.3460717 0.106729404 0.7228420610 0 0.985379022
## 1226 5 13 14 4.3283803 0.106449122 0.7040303057 0 0.985677646
## 1227 5 13 14 4.3975317 0.104893825 0.7153061222 0 0.985354175
## 1228 5 13 14 4.3966428 0.104814770 0.7158450384 0 0.984991356
## 1229 5 13 14 4.3592744 0.106434620 0.7179557275 0 0.985010235
## 1230 5 13 14 4.3950494 0.105913522 0.7296418451 0 0.985136259
## 1231 5 13 14 4.4565412 0.103524723 0.7303340329 0 0.984433053
## 1232 5 13 14 4.4925910 0.102470219 0.7413948886 0 0.985307309
## 1233 5 13 14 4.5012834 0.102590141 0.7648425226 0 0.985593606
## 1234 5 13 14 4.4965215 0.103594461 0.7843012617 0 0.985181787
## 1235 5 13 14 4.4499453 0.104659353 0.7822840624 0 0.985076489
## 1236 5 13 14 4.4561312 0.103517489 0.7860235090 0 0.985348109
## 1237 5 13 14 4.5039077 0.102966342 0.7880730542 0 0.985074499
## 1238 5 13 14 4.5787033 0.100992094 0.8099650782 0 0.985244542
## 1239 5 13 14 4.5694785 0.101571461 0.7880080193 0 0.984611467
## 1240 5 13 14 4.4574163 0.103478646 0.7928573206 0 0.983653753
## 1241 5 13 14 4.5028477 0.102941832 0.7848003454 0 0.982418047
## 1242 5 13 14 4.4885584 0.103259972 0.7685094755 0 0.981193982
## 1243 5 13 14 4.5199419 0.101518094 0.7563854419 0 0.980423379
## 1244 5 13 14 4.5630098 0.101037303 0.7490377439 0 0.978308932
## 1245 5 13 14 4.6085495 0.099850318 0.7421928132 0 0.978018382
## 1246 5 13 14 4.5360700 0.101896776 0.7341929323 0 0.977678538
## 1247 5 13 14 4.4760986 0.102343809 0.7531155701 0 0.979784181
## 1248 5 13 14 4.4760986 0.102343809 0.7531155701 0 0.979784181
## 1249 5 13 14 5.6887355 0.866872975 0.9353988929 0 0.744165561
## 1250 5 13 14 5.6887355 0.866872975 0.9353988929 0 0.744165561
## 1251 5 13 14 5.2884257 0.851256643 0.9366854574 0 0.731924034
## 1252 5 13 14 3.5277664 0.850949776 0.9444864319 0 0.729438143
## 1253 5 13 14 2.2599566 0.849695402 0.9555462290 0 0.719332043
## 1254 5 13 14 2.3299707 0.826075714 0.9620625471 0 0.721798209
## 1255 5 13 14 2.5870210 0.779128875 0.9555388145 0 0.722081845
## 1256 5 13 14 3.2642224 0.758583228 0.9446366738 0 0.700387588
## 1257 5 13 14 4.4878236 0.769242724 0.9453806681 0 0.697635126
## 1258 5 13 14 5.6783214 0.767104725 0.9528389277 0 0.683754317
## 1259 5 13 14 6.4456542 0.754809543 0.9420757091 0 0.658903671
## 1260 5 13 14 7.0559875 0.752569256 0.9414842345 0 0.648890216
## 1261 5 13 14 9.5779218 0.702409344 0.9465793991 0 0.658355397
## 1262 5 13 14 8.8369154 0.685203280 0.9458960288 0 0.648079645
## 1263 5 13 14 9.6545237 0.708697941 0.9474228589 0 0.617082982
## 1264 5 13 14 8.8638526 0.721988879 0.9350425314 0 0.627375488
## 1265 5 13 14 8.5681795 0.733665157 0.9341745466 0 0.606952591
## 1266 5 13 14 8.6788737 0.716057905 0.9304215165 0 0.593398711
## 1267 5 13 14 9.1530722 0.649367610 0.9253256567 0 0.554953914
## 1268 5 13 14 9.0613158 0.596618724 0.9262784947 0 0.553909127
## 1269 5 13 14 9.2935035 0.536890860 0.9426024858 0 0.499367430
## 1270 5 13 14 9.6666863 0.513287583 0.9232295143 0 0.511513540
## 1271 5 13 14 10.6623937 0.456360649 0.9251792030 0 0.425647902
## 1272 5 13 14 11.1037453 0.440979132 0.9266234873 0 0.417578124
## 1273 5 13 14 11.2428642 0.430000781 0.9402488042 0 0.379816127
## 1274 5 13 14 9.9732268 0.409612273 0.9434583288 0 0.350062934
## 1275 5 13 14 11.4019691 0.415829448 0.9421689079 0 0.314088255
## 1276 5 13 14 9.9426013 0.436986780 0.9412583964 0 0.286745601
## 1277 5 13 14 10.9668028 0.408489525 0.9375522252 0 0.278214419
## 1278 5 13 14 11.9412742 0.353277913 0.9438972120 0 0.262134208
## 1279 5 13 14 12.1110833 0.332927817 0.9491439282 0 0.239190263
## 1280 5 13 14 11.8843905 0.309883095 0.9551220852 0 0.199808412
## 1281 5 13 14 13.2047044 0.274470379 0.9559297460 0 0.176367980
## 1282 5 13 14 13.1808819 0.246897533 0.9580392012 0 0.162829057
## 1283 5 13 14 13.4550261 0.235068453 0.9567254922 0 0.147741383
## 1284 5 13 14 13.8295668 0.212066846 0.9517850450 0 0.132980956
## 1285 5 13 14 14.2462773 0.194459213 0.9529700866 0 0.122317570
## 1286 5 13 14 14.3663350 0.180644374 0.9563329413 0 0.103317730
## 1287 5 13 14 15.0761706 0.150905345 0.9577465294 0 0.096746472
## 1288 5 13 14 14.7599441 0.138230765 0.9550491872 0 0.094762991
## 1289 5 13 14 14.9837336 0.123016966 0.9544220009 0 0.089618155
## 1290 5 13 14 15.8654300 0.113811780 0.9554569179 0 0.091336783
## 1291 5 13 14 15.7693737 0.102123092 0.9541727771 0 0.087648765
## 1292 5 13 14 15.8960540 0.101649839 0.9546253989 0 0.081368493
## 1293 5 13 14 15.6250191 0.099095078 0.9589610220 0 0.078166974
## 1294 5 13 14 15.3365817 0.095263237 0.9584410715 0 0.077157713
## 1295 5 13 14 15.3885069 0.092066727 0.9567885539 0 0.075778877
## 1296 5 13 14 15.2630693 0.089676042 0.9582283400 0 0.074367166
## 1297 5 13 14 15.0226567 0.087275425 0.9568978633 0 0.072317322
## 1298 5 13 14 15.1291761 0.085172462 0.9573516869 0 0.073409318
## 1299 5 13 14 15.1151155 0.082442931 0.9571953519 0 0.072978260
## 1300 5 13 14 14.9729387 0.083022076 0.9545420010 0 0.072341044
## 1301 5 13 14 14.9729387 0.083022076 0.9545420010 0 0.072341044
## 1302 5 13 14 15.3025561 0.082787909 0.9554369372 0 0.070969595
## 1303 5 13 14 15.1531049 0.087498057 0.9537402763 0 0.071952600
## 1304 5 13 14 14.9914043 0.090877691 0.9493751922 0 0.068871454
## 1305 5 13 14 15.7575561 0.090909472 0.9437134046 0 0.069254240
## 1306 5 13 14 14.2005049 0.087560524 0.9422797752 0 0.070639559
## 1307 5 13 14 13.8736838 0.085552654 0.9480972306 0 0.071520179
## 1308 5 13 14 14.4188549 0.084511957 0.9495456381 0 0.070608284
## 1309 5 13 14 14.8133773 0.086815717 0.9559624682 0 0.068285734
## 1310 5 13 14 14.5881873 0.088801497 0.9606436846 0 0.068791871
## 1311 5 13 14 15.0208343 0.085381460 0.9492694717 0 0.069987828
## 1312 5 13 14 14.5367943 0.089185665 0.9531148183 0 0.066779630
## 1313 5 13 14 14.2505410 0.084195373 0.9460564894 0 0.069997758
## 1314 5 13 14 14.5902095 0.081302893 0.9462072418 0 0.070273232
## 1315 5 13 14 14.1681909 0.083876998 0.9401876492 0 0.070619647
## 1316 5 13 14 14.9550434 0.088343676 0.9518450134 0 0.066771650
## 1317 5 13 14 14.6944517 0.090345497 0.9331779909 0 0.067933088
## 1318 5 13 14 15.6525844 0.084347643 0.9320468368 0 0.067125388
## 1319 5 13 14 15.5635732 0.086353985 0.9321494793 0 0.069075632
## 1320 5 13 14 15.2833058 0.088274895 0.9346230209 0 0.067647573
## 1321 5 13 14 16.0676950 0.087514670 0.9380254826 0 0.067626737
## 1322 5 13 14 14.8450436 0.086975315 0.9375116894 0 0.070883273
## 1323 5 13 14 14.9438908 0.085407906 0.9403203921 0 0.070611277
## 1324 5 13 14 14.4201513 0.088914323 0.9423651485 0 0.069450980
## 1325 5 13 14 14.1924974 0.085600562 0.9454905911 0 0.071423742
## 1326 5 13 14 14.2161789 0.084923204 0.9473501745 0 0.072882683
## 1327 5 13 14 14.7030109 0.086305931 0.9376352120 0 0.071732017
## 1328 5 13 14 14.7737830 0.085016565 0.9380878893 0 0.070747336
## 1329 5 13 14 14.9434942 0.082647696 0.9420463538 0 0.073002476
## 1330 5 13 14 14.6559166 0.081906869 0.9127616414 0 0.075982925
## 1331 5 13 14 14.9357646 0.085624425 0.9388805183 0 0.075788659
## 1332 5 13 14 15.0815647 0.090238381 0.9442176319 0 0.068517666
## 1333 5 13 14 15.1402432 0.087557915 0.9425040386 0 0.069756350
## 1334 5 13 14 15.6145512 0.085637625 0.9407350831 0 0.071813914
## 1335 5 13 14 15.1142175 0.087137717 0.9429903572 0 0.071358089
## 1336 5 13 14 15.2530709 0.086540900 0.9354568903 0 0.069922807
## 1337 5 13 14 15.3541176 0.088711992 0.9369174054 0 0.069045635
## 1338 5 13 14 15.4485260 0.088307926 0.9370297144 0 0.068732350
## 1339 5 13 14 15.5632258 0.089842068 0.9442165871 0 0.068353888
## 1340 5 13 14 15.1062840 0.087605190 0.9403124515 0 0.068876978
## 1341 5 13 14 15.2861984 0.086234894 0.9428293046 0 0.069599162
## 1342 5 13 14 14.8715894 0.086854966 0.9401270125 0 0.069280836
## 1343 5 13 14 15.2633706 0.088348719 0.9372751975 0 0.067201118
## 1344 5 13 14 15.3625684 0.086422631 0.9359494775 0 0.068363544
## 1345 5 13 14 15.3001720 0.085893884 0.9368555859 0 0.069562509
## 1346 5 13 14 15.4797621 0.085138109 0.9353590770 0 0.068538652
## 1347 5 13 14 15.7822065 0.087677269 0.9350454220 0 0.068336150
## 1348 5 13 14 15.6288425 0.090776735 0.9301135733 0 0.067847110
## 1349 5 13 14 15.4653719 0.088361036 0.9379243615 0 0.069797837
## 1350 5 13 14 15.3479668 0.086918971 0.9418165668 0 0.069227518
## 1351 5 13 14 15.0999363 0.087019978 0.9448145522 0 0.069024606
## 1352 5 13 14 15.0999363 0.087019978 0.9448145522 0 0.069024606
## 1353 5 13 14 4.8860954 0.589986107 0.6785485351 0 0.697845695
## 1354 5 13 14 4.8860954 0.589986107 0.6785485351 0 0.697845695
## 1355 5 13 14 3.7744812 0.564209113 0.7170622525 0 0.632449372
## 1356 5 13 14 2.1322867 0.456099415 0.7280794167 0 0.439619483
## 1357 5 13 14 2.3662667 0.403775441 0.7168273222 0 0.477544837
## 1358 5 13 14 2.6102887 0.274644781 0.6287629299 0 0.492223947
## 1359 5 13 14 2.9581567 0.222144191 0.6269451552 0 0.565935098
## 1360 5 13 14 3.5273055 0.180442578 0.6588429210 0 0.583139363
## 1361 5 13 14 4.1253243 0.157152087 0.6479184972 0 0.564344700
## 1362 5 13 14 4.3895363 0.151840201 0.6424443377 0 0.522311573
## 1363 5 13 14 4.6173335 0.148207141 0.5898676677 0 0.485915598
## 1364 5 13 14 4.7933918 0.144325267 0.5690703786 0 0.484078800
## 1365 5 13 14 4.9826002 0.138265291 0.5983609932 0 0.464611168
## 1366 5 13 14 5.3051723 0.136565274 0.5587946228 0 0.431188719
## 1367 5 13 14 5.5314478 0.133951434 0.5337161188 0 0.429273908
## 1368 5 13 14 5.8097249 0.128059737 0.5290977838 0 0.411092229
## 1369 5 13 14 5.8768242 0.126459932 0.5566691311 0 0.397625003
## 1370 5 13 14 5.9564280 0.126241453 0.5466142271 0 0.386216275
## 1371 5 13 14 5.9624228 0.125870640 0.5380209326 0 0.380771395
## 1372 5 13 14 5.9944808 0.121124873 0.5841467775 0 0.379036658
## 1373 5 13 14 5.9411544 0.120630725 0.5829869329 0 0.380275674
## 1374 5 13 14 5.8413748 0.121276194 0.6103267931 0 0.371207552
## 1375 5 13 14 5.7726710 0.122321746 0.6174987462 0 0.366436839
## 1376 5 13 14 5.7501692 0.121765141 0.6128231354 0 0.373754393
## 1377 5 13 14 5.9054777 0.118316391 0.6282440459 0 0.356559594
## 1378 5 13 14 5.8739643 0.116562107 0.6740561682 0 0.344886242
## 1379 5 13 14 5.7067578 0.116248514 0.7273960194 0 0.348202832
## 1380 5 13 14 5.7533783 0.113500104 0.7437749634 0 0.346104128
## 1381 5 13 14 5.5403768 0.115845569 0.7451942896 0 0.354134657
## 1382 5 13 14 5.5431054 0.117174418 0.7350869618 0 0.351714256
## 1383 5 13 14 5.4986792 0.118171915 0.7270031234 0 0.353072871
## 1384 5 13 14 5.3678193 0.117782346 0.7392545210 0 0.372805359
## 1385 5 13 14 5.4039174 0.116470441 0.7471078985 0 0.368816517
## 1386 5 13 14 5.2322209 0.118698376 0.7640952376 0 0.373480866
## 1387 5 13 14 5.2161488 0.119387100 0.7564462455 0 0.379168618
## 1388 5 13 14 5.1421448 0.119159328 0.7644793515 0 0.380966576
## 1389 5 13 14 5.1573256 0.119050972 0.7642753498 0 0.384862865
## 1390 5 13 14 5.0733038 0.119043088 0.7885927934 0 0.375755818
## 1391 5 13 14 5.0893896 0.120323114 0.7619920253 0 0.385302326
## 1392 5 13 14 4.9305469 0.122460935 0.7805976286 0 0.397545379
## 1393 5 13 14 4.9422412 0.122198575 0.7790302283 0 0.396519881
## 1394 5 13 14 4.7921822 0.126295794 0.7697499721 0 0.408720545
## 1395 5 13 14 5.0650037 0.120394503 0.7480870751 0 0.402205572
## 1396 5 13 14 5.1415502 0.119643245 0.7440086014 0 0.392943778
## 1397 5 13 14 5.0159367 0.122362422 0.7489524584 0 0.399900685
## 1398 5 13 14 4.8990033 0.124392566 0.7616929181 0 0.407125175
## 1399 5 13 14 4.9799716 0.122699274 0.7632106245 0 0.410518590
## 1400 5 13 14 4.9319886 0.123517084 0.7682849436 0 0.410608645
## 1401 5 13 14 5.0589400 0.121948478 0.7523989567 0 0.404385051
## 1402 5 13 14 4.9838083 0.122584419 0.7622494771 0 0.403864318
## 1403 5 13 14 5.0898500 0.120433535 0.7577410339 0 0.397723305
## 1404 5 13 14 5.0986666 0.120407538 0.7597974341 0 0.397463313
## 1405 5 13 14 5.0986666 0.120407538 0.7597974341 0 0.397463313
## 1406 5 13 14 5.0718185 0.122766476 0.7595419204 0 0.392314093
## 1407 5 13 14 5.0399700 0.125113114 0.7546845898 0 0.385562944
## 1408 5 13 14 5.0282939 0.126505561 0.7479744808 0 0.380827351
## 1409 5 13 14 5.2163886 0.122387788 0.7482243842 0 0.373615379
## 1410 5 13 14 5.0867912 0.123854654 0.7498592063 0 0.388221935
## 1411 5 13 14 5.1838049 0.124208223 0.7348618726 0 0.372931782
## 1412 5 13 14 5.1709577 0.123123504 0.7394851784 0 0.379732569
## 1413 5 13 14 5.1699716 0.123073666 0.7474492462 0 0.368682372
## 1414 5 13 14 5.1785175 0.122749487 0.7510365732 0 0.372308935
## 1415 5 13 14 5.1407920 0.123135130 0.7607509592 0 0.361636965
## 1416 5 13 14 5.1413612 0.121914506 0.7580653171 0 0.371108806
## 1417 5 13 14 5.1399547 0.122193610 0.7614497194 0 0.370348718
## 1418 5 13 14 5.1911826 0.122024162 0.7490573345 0 0.373543967
## 1419 5 13 14 5.2199671 0.121213601 0.7540123054 0 0.370971609
## 1420 5 13 14 4.8987135 0.127068351 0.7639909060 0 0.389120686
## 1421 5 13 14 4.8431931 0.126804032 0.7787312104 0 0.393776816
## 1422 5 13 14 4.8896346 0.125267887 0.7654936133 0 0.391606004
## 1423 5 13 14 4.7563022 0.127613139 0.7869807897 0 0.384822433
## 1424 5 13 14 4.7941430 0.126546620 0.7864343537 0 0.381783491
## 1425 5 13 14 4.9129673 0.122868757 0.7867535367 0 0.388359052
## 1426 5 13 14 4.7745799 0.126150983 0.7860248846 0 0.392369510
## 1427 5 13 14 4.7018771 0.128935552 0.7680302307 0 0.386870968
## 1428 5 13 14 4.9264704 0.125505591 0.7609818199 0 0.375886163
## 1429 5 13 14 5.0559840 0.121228175 0.7658814855 0 0.387611190
## 1430 5 13 14 4.9869919 0.121878957 0.7745978580 0 0.383330855
## 1431 5 13 14 5.0058415 0.122067137 0.7737448996 0 0.377922489
## 1432 5 13 14 5.0205402 0.121817002 0.7726510348 0 0.373047265
## 1433 5 13 14 4.8867164 0.125178637 0.7675410423 0 0.378327838
## 1434 5 13 14 5.0456753 0.121281920 0.7624083114 0 0.378804688
## 1435 5 13 14 4.9931486 0.120358503 0.7750708563 0 0.386381614
## 1436 5 13 14 5.0022908 0.120044314 0.7778216463 0 0.383768719
## 1437 5 13 14 4.9584821 0.122940091 0.7687821217 0 0.381787260
## 1438 5 13 14 5.0064820 0.122133133 0.7653215208 0 0.380202088
## 1439 5 13 14 5.0099032 0.122974314 0.7510385073 0 0.389790208
## 1440 5 13 14 4.9906747 0.123162707 0.7647277160 0 0.384679684
## 1441 5 13 14 4.9886484 0.122456380 0.7734594904 0 0.380302923
## 1442 5 13 14 4.9467473 0.122356748 0.7806132167 0 0.382146723
## 1443 5 13 14 5.0043054 0.121707600 0.7706173099 0 0.373563975
## 1444 5 13 14 5.0222326 0.122679371 0.7727267339 0 0.365189264
## 1445 5 13 14 5.2215553 0.118012823 0.7784084161 0 0.353192617
## 1446 5 13 14 5.4080284 0.114879812 0.7725756698 0 0.335635853
## 1447 5 13 14 5.4868257 0.113496341 0.7764928724 0 0.324939889
## 1448 5 13 14 5.6013786 0.112071252 0.7754053386 0 0.312454595
## 1449 5 13 14 5.7459957 0.109952626 0.7665966001 0 0.301717885
## 1450 5 13 14 5.8000636 0.110841450 0.7508584649 0 0.300575642
## 1451 5 13 14 5.8735722 0.109312590 0.7498083305 0 0.302562889
## 1452 5 13 14 5.6864102 0.112176557 0.7569044072 0 0.309442588
## 1453 5 13 14 5.4622669 0.115482169 0.7586974194 0 0.320569630
## 1454 5 13 14 5.5395552 0.114812272 0.7528785039 0 0.316072646
## 1455 5 13 14 5.5094464 0.114531472 0.7536510663 0 0.317639436
## 1456 5 13 14 5.5094464 0.114531472 0.7536510663 0 0.317639436
## 1457 5 13 14 3.4137517 0.342025602 0.1794609720 0 0.047553735
## 1458 5 13 14 3.4137517 0.342025602 0.1794609720 0 0.047553735
## 1459 5 13 14 3.5183837 0.340639367 0.1849762554 0 0.053429426
## 1460 5 13 14 3.2888012 0.366771510 0.2232415698 0 0.083996098
## 1461 5 13 14 2.6566386 0.312273642 0.1754165684 0 0.122801272
## 1462 5 13 14 3.8538296 0.302974997 0.1990003910 0 0.116218531
## 1463 5 13 14 3.8808295 0.266817250 0.2149172966 0 0.140823422
## 1464 5 13 14 3.9710405 0.258800071 0.2392128177 0 0.151140349
## 1465 5 13 14 3.8530259 0.275378798 0.1830056658 0 0.123891589
## 1466 5 13 14 3.9845446 0.267501929 0.1410250011 0 0.097977716
## 1467 5 13 14 5.4399431 0.326817502 0.1669536177 0 0.152909011
## 1468 5 13 14 7.3461613 0.422930779 0.1890916926 0 0.198749571
## 1469 5 13 14 8.9342187 0.445018930 0.2536087240 0 0.193229380
## 1470 5 13 14 8.4161516 0.402992572 0.2570719839 0 0.243485604
## 1471 5 13 14 7.5832598 0.366607534 0.2178264255 0 0.247191742
## 1472 5 13 14 8.5830887 0.292551780 0.2252110921 0 0.265887762
## 1473 5 13 14 7.2557877 0.237620397 0.2252250748 0 0.307384418
## 1474 5 13 14 9.2624809 0.183167000 0.2331268931 0 0.289868891
## 1475 5 13 14 7.1332188 0.150215386 0.2113033738 0 0.434702743
## 1476 5 13 14 7.8413082 0.125808382 0.2343012658 0 0.445991684
## 1477 5 13 14 7.8313853 0.119038254 0.2153088905 0 0.458031520
## 1478 5 13 14 8.1288633 0.110885402 0.2232210822 0 0.473835922
## 1479 5 13 14 8.3134177 0.107942822 0.2137945113 0 0.481299619
## 1480 5 13 14 8.0323650 0.109394496 0.2102998202 0 0.486669416
## 1481 5 13 14 7.6199868 0.111942586 0.2045521712 0 0.500781627
## 1482 5 13 14 7.6203300 0.111060271 0.2195908244 0 0.495466287
## 1483 5 13 14 7.3537561 0.112099726 0.2041807280 0 0.518566681
## 1484 5 13 14 7.2467273 0.111886908 0.2045544022 0 0.522813871
## 1485 5 13 14 7.1158783 0.113587579 0.1829788455 0 0.536184114
## 1486 5 13 14 7.0086718 0.114143418 0.1844032076 0 0.542060033
## 1487 5 13 14 6.9190869 0.114741792 0.1726814069 0 0.545572271
## 1488 5 13 14 7.1512153 0.113390358 0.1775026723 0 0.532946524
## 1489 5 13 14 7.2858247 0.113441358 0.1647113793 0 0.529348827
## 1490 5 13 14 7.2763819 0.114039192 0.1655142880 0 0.528869764
## 1491 5 13 14 7.2482119 0.114872827 0.1858838603 0 0.508390665
## 1492 5 13 14 7.1931709 0.112691057 0.1907509156 0 0.524735668
## 1493 5 13 14 7.0716277 0.112622574 0.1926208261 0 0.532869208
## 1494 5 13 14 6.9721254 0.113959058 0.1792564885 0 0.538011987
## 1495 5 13 14 6.6366165 0.116476417 0.1730816203 0 0.559794675
## 1496 5 13 14 6.8361512 0.114278259 0.1915000543 0 0.546094339
## 1497 5 13 14 6.8981627 0.114281772 0.1917469749 0 0.533983336
## 1498 5 13 14 6.7632766 0.114472061 0.1897621889 0 0.551355650
## 1499 5 13 14 6.6514006 0.114935846 0.1855401884 0 0.560641891
## 1500 5 13 14 6.5825128 0.115863311 0.1982880327 0 0.556259465
## 1501 5 13 14 6.5412804 0.115411344 0.2078137017 0 0.557696347
## 1502 5 13 14 6.4611617 0.113339792 0.2205042073 0 0.562495699
## 1503 5 13 14 6.4053444 0.115411378 0.2283590367 0 0.554686599
## 1504 5 13 14 6.4715579 0.114880427 0.2433064124 0 0.543486080
## 1505 5 13 14 6.3455107 0.115780349 0.2396690646 0 0.554032720
## 1506 5 13 14 6.2532625 0.116056422 0.2465516245 0 0.556839677
## 1507 5 13 14 6.3952444 0.114713485 0.2404927375 0 0.553241008
## 1508 5 13 14 6.3666732 0.114740690 0.2444184340 0 0.551789994
## 1509 5 13 14 6.3666732 0.114740690 0.2444184340 0 0.551789994
## 1510 5 13 14 6.3657704 0.118201693 0.2407595868 0 0.553285124
## 1511 5 13 14 6.3291405 0.120493819 0.2418871349 0 0.543650078
## 1512 5 13 14 5.9444066 0.124685060 0.2447267429 0 0.564442017
## 1513 5 13 14 5.7347636 0.125566198 0.2666178767 0 0.575801996
## 1514 5 13 14 5.6992215 0.124773431 0.2620021020 0 0.583203569
## 1515 5 13 14 6.0650294 0.120755836 0.2378483097 0 0.565790662
## 1516 5 13 14 6.3736711 0.119920941 0.2519632380 0 0.535010713
## 1517 5 13 14 6.3761494 0.117878788 0.2550449862 0 0.540298249
## 1518 5 13 14 6.2239584 0.118367752 0.2627768165 0 0.550500839
## 1519 5 13 14 5.9154566 0.121619594 0.2810814279 0 0.566674285
## 1520 5 13 14 5.7031663 0.120666439 0.3134427773 0 0.583548291
## 1521 5 13 14 5.7070750 0.119151206 0.3198929526 0 0.591567589
## 1522 5 13 14 5.7740882 0.119639903 0.3094064597 0 0.590438341
## 1523 5 13 14 5.5290647 0.124263615 0.2751335492 0 0.596479196
## 1524 5 13 14 5.8337884 0.119306085 0.2643331383 0 0.585715858
## 1525 5 13 14 5.8307316 0.118850576 0.2265038711 0 0.597493832
## 1526 5 13 14 5.9712297 0.118936905 0.1987386272 0 0.591439447
## 1527 5 13 14 6.0259532 0.118366845 0.1789697104 0 0.596254993
## 1528 5 13 14 5.9417874 0.119280471 0.1406340233 0 0.614540361
## 1529 5 13 14 5.8888256 0.120746654 0.1401889597 0 0.608669440
## 1530 5 13 14 6.1248118 0.118231815 0.1376589805 0 0.602093591
## 1531 5 13 14 6.1745551 0.118373796 0.1381688829 0 0.593689979
## 1532 5 13 14 6.3599274 0.119153396 0.1429784926 0 0.570346513
## 1533 5 13 14 6.2858066 0.117520838 0.1489770408 0 0.577057268
## 1534 5 13 14 6.4449314 0.115925160 0.1435004947 0 0.572618259
## 1535 5 13 14 6.4173322 0.116359102 0.1391717827 0 0.576501807
## 1536 5 13 14 6.3130746 0.116349113 0.1499242333 0 0.575443258
## 1537 5 13 14 6.2748993 0.115322714 0.1559497913 0 0.581031458
## 1538 5 13 14 6.0685305 0.118392640 0.1749754769 0 0.581572937
## 1539 5 13 14 6.0571163 0.116979723 0.2028573826 0 0.581619596
## 1540 5 13 14 5.8922842 0.118565978 0.2251044308 0 0.579809856
## 1541 5 13 14 5.8443169 0.119419179 0.2300700499 0 0.578130321
## 1542 5 13 14 5.6394685 0.121823319 0.2570028996 0 0.582560804
## 1543 5 13 14 5.9717433 0.116725333 0.2455528974 0 0.567688306
## 1544 5 13 14 6.0869896 0.115806913 0.2533404032 0 0.560294912
## 1545 5 13 14 6.1495616 0.115355910 0.2694512962 0 0.553371263
## 1546 5 13 14 6.0502342 0.116332405 0.2619762394 0 0.557553850
## 1547 5 13 14 6.3377870 0.113814306 0.2441203888 0 0.547834131
## 1548 5 13 14 6.2294622 0.117962679 0.2208682354 0 0.549734571
## 1549 5 13 14 6.2167859 0.116438138 0.2259243064 0 0.557763263
## 1550 5 13 14 6.0137215 0.117686211 0.2501974536 0 0.563546263
## 1551 5 13 14 6.2137851 0.117013664 0.2291211507 0 0.558370419
## 1552 5 13 14 6.2743830 0.117208125 0.2107640878 0 0.553437337
## 1553 5 13 14 6.2085464 0.117607733 0.2176316378 0 0.559427172
## 1554 5 13 14 6.1409887 0.116656800 0.2307944402 0 0.564579014
## 1555 5 13 14 6.0046320 0.117820352 0.2463481598 0 0.570798127
## 1556 5 13 14 6.0664428 0.116035084 0.2491537971 0 0.571895120
## 1557 5 13 14 6.0906036 0.115236550 0.2551281104 0 0.565552037
## 1558 5 13 14 6.0862698 0.116549110 0.2406753092 0 0.566826631
## 1559 5 13 14 6.1632556 0.116177937 0.2319768270 0 0.559546616
## 1560 5 13 14 6.1632556 0.116177937 0.2319768270 0 0.559546616
## 1561 5 13 14 3.7932530 0.569942324 0.5829299673 0 0.109941775
## 1562 5 13 14 3.7932530 0.569942324 0.5829299673 0 0.109941775
## 1563 5 13 14 4.5437244 0.567320877 0.6322980858 0 0.167699944
## 1564 5 13 14 3.9166119 0.580580329 0.6463853466 0 0.153837302
## 1565 5 13 14 4.6101738 0.517528531 0.6919101903 0 0.194937505
## 1566 5 13 14 5.1424847 0.384052480 0.6866063813 0 0.207890771
## 1567 5 13 14 4.7586325 0.372703738 0.7967496164 0 0.221543668
## 1568 5 13 14 5.0841853 0.289631956 0.7644447765 0 0.246552351
## 1569 5 13 14 4.8943021 0.220256103 0.7943608634 0 0.289248752
## 1570 5 13 14 5.0651161 0.173431676 0.7794493790 0 0.305410327
## 1571 5 13 14 5.6764432 0.151695743 0.7861330755 0 0.326943505
## 1572 5 13 14 5.5485317 0.147109379 0.7917842531 0 0.330832330
## 1573 5 13 14 5.7612316 0.140631733 0.7904693516 0 0.318249993
## 1574 5 13 14 5.8057471 0.139959455 0.8089200842 0 0.271101967
## 1575 5 13 14 6.0405270 0.135407078 0.8190943176 0 0.259090917
## 1576 5 13 14 5.6569915 0.141789303 0.8319098706 0 0.245226343
## 1577 5 13 14 5.7242761 0.133278722 0.8516010093 0 0.241456819
## 1578 5 13 14 5.5867363 0.134960320 0.8500378000 0 0.235618858
## 1579 5 13 14 5.7768933 0.132214472 0.8487803052 0 0.226307357
## 1580 5 13 14 5.5892380 0.128554653 0.8785592836 0 0.221073549
## 1581 5 13 14 5.6197917 0.126615550 0.8812596264 0 0.214564807
## 1582 5 13 14 5.6308205 0.126132481 0.8738280269 0 0.213989040
## 1583 5 13 14 5.6123997 0.127356648 0.8713336560 0 0.216889292
## 1584 5 13 14 5.5950173 0.126054681 0.8590182723 0 0.216937777
## 1585 5 13 14 5.4098457 0.129736697 0.8457916885 0 0.227221976
## 1586 5 13 14 5.2529072 0.130777644 0.8453871142 0 0.233931037
## 1587 5 13 14 5.2860871 0.126978174 0.8673271304 0 0.225249689
## 1588 5 13 14 5.3407989 0.126492180 0.8652268934 0 0.224930437
## 1589 5 13 14 5.1435216 0.129269126 0.8645468898 0 0.236585358
## 1590 5 13 14 5.2465964 0.127110303 0.8683238919 0 0.225193622
## 1591 5 13 14 5.2963172 0.124676672 0.8746976625 0 0.227780917
## 1592 5 13 14 5.1522588 0.127738687 0.8756137047 0 0.235872331
## 1593 5 13 14 5.3699191 0.124376630 0.8809978827 0 0.226707197
## 1594 5 13 14 5.4510884 0.122280780 0.8773929487 0 0.230619470
## 1595 5 13 14 5.2026261 0.124607973 0.8880917012 0 0.231015162
## 1596 5 13 14 5.3028152 0.121249296 0.8985116445 0 0.218720110
## 1597 5 13 14 5.3016480 0.122864722 0.8922441540 0 0.217831594
## 1598 5 13 14 5.2685567 0.123989088 0.8951707714 0 0.217342313
## 1599 5 13 14 5.2036695 0.124891375 0.8959937963 0 0.222006308
## 1600 5 13 14 5.2580838 0.123304439 0.8949398073 0 0.214859498
## 1601 5 13 14 5.5597939 0.119829448 0.8991659959 0 0.206901556
## 1602 5 13 14 5.4958971 0.120708749 0.8944966823 0 0.210328554
## 1603 5 13 14 5.6089569 0.118659342 0.8907488231 0 0.204529425
## 1604 5 13 14 5.5977690 0.118417367 0.8881389875 0 0.212653467
## 1605 5 13 14 5.4157527 0.121277770 0.8855573820 0 0.216856472
## 1606 5 13 14 5.5128193 0.118483974 0.8978081921 0 0.212654909
## 1607 5 13 14 5.5214295 0.118927432 0.8847753942 0 0.212657362
## 1608 5 13 14 5.7188593 0.117113601 0.8724710715 0 0.213737146
## 1609 5 13 14 5.4233292 0.121862848 0.8784218435 0 0.220025342
## 1610 5 13 14 5.4285878 0.121730640 0.8705805105 0 0.225083267
## 1611 5 13 14 5.4633394 0.120556809 0.8653099047 0 0.219175944
## 1612 5 13 14 5.5402387 0.118430602 0.8565070688 0 0.226708799
## 1613 5 13 14 5.5402387 0.118430602 0.8565070688 0 0.226708799
## 1614 5 13 14 5.5007487 0.122344842 0.8560810837 0 0.226998226
## 1615 5 13 14 5.4700393 0.125129299 0.8517083839 0 0.221587080
## 1616 5 13 14 5.3629687 0.126016675 0.8604053281 0 0.223557184
## 1617 5 13 14 5.2294857 0.128235738 0.8619617081 0 0.226440724
## 1618 5 13 14 5.2923757 0.125935524 0.8566633056 0 0.229957626
## 1619 5 13 14 5.3454368 0.125384140 0.8572307990 0 0.225194309
## 1620 5 13 14 5.1236740 0.128686790 0.8645667958 0 0.233891905
## 1621 5 13 14 4.9796758 0.131498349 0.8683148804 0 0.237682580
## 1622 5 13 14 5.2538028 0.126898087 0.8544450044 0 0.234744443
## 1623 5 13 14 4.9216132 0.133290329 0.8650289955 0 0.250414245
## 1624 5 13 14 4.9674762 0.131401872 0.8564207407 0 0.252318096
## 1625 5 13 14 4.9857917 0.131683384 0.8539602783 0 0.246165323
## 1626 5 13 14 5.1017676 0.128860267 0.8566314527 0 0.240596409
## 1627 5 13 14 5.2631303 0.127060896 0.8371723442 0 0.245636369
## 1628 5 13 14 5.2268748 0.127887182 0.8302533215 0 0.244088579
## 1629 5 13 14 5.2907966 0.127751558 0.8238050236 0 0.239318439
## 1630 5 13 14 5.5151291 0.124640134 0.8219284235 0 0.235286941
## 1631 5 13 14 5.5525440 0.125227583 0.8110619326 0 0.233552830
## 1632 5 13 14 5.3797928 0.126079158 0.8339877722 0 0.245221505
## 1633 5 13 14 5.3821340 0.125542648 0.8496346046 0 0.243644314
## 1634 5 13 14 5.4475288 0.124880465 0.8381627258 0 0.239309260
## 1635 5 13 14 5.3190717 0.127513272 0.8365599840 0 0.241723967
## 1636 5 13 14 5.4849593 0.124973274 0.8278036254 0 0.240684145
## 1637 5 13 14 5.3444974 0.124877080 0.8612764327 0 0.244877487
## 1638 5 13 14 5.0551496 0.128489928 0.8690471820 0 0.251825673
## 1639 5 13 14 4.9523120 0.131647191 0.8719918693 0 0.249814183
## 1640 5 13 14 5.2130879 0.126184945 0.8733172446 0 0.235102933
## 1641 5 13 14 5.1638985 0.125574085 0.9011846095 0 0.231884758
## 1642 5 13 14 5.0854679 0.125146731 0.9101289138 0 0.232407870
## 1643 5 13 14 5.1413677 0.123977371 0.9230633457 0 0.219032647
## 1644 5 13 14 5.1207885 0.123808071 0.9250421552 0 0.219014500
## 1645 5 13 14 5.1508254 0.124491876 0.9235260955 0 0.217836269
## 1646 5 13 14 5.1841662 0.122446332 0.9293183415 0 0.212667479
## 1647 5 13 14 5.1538723 0.121955948 0.9315965529 0 0.217265922
## 1648 5 13 14 5.0480868 0.124600846 0.9294081385 0 0.226407708
## 1649 5 13 14 4.9235153 0.124482480 0.9319714761 0 0.236695129
## 1650 5 13 14 4.8240044 0.127496644 0.9292943322 0 0.241971874
## 1651 5 13 14 4.8611488 0.126234600 0.9294368867 0 0.247751689
## 1652 5 13 14 4.7879220 0.126979643 0.9300800067 0 0.254226833
## 1653 5 13 14 4.8055215 0.126308591 0.9266520869 0 0.256015474
## 1654 5 13 14 4.8766362 0.125146059 0.9246133170 0 0.248798565
## 1655 5 13 14 4.8847637 0.124111861 0.9266191988 0 0.250876445
## 1656 5 13 14 4.9289913 0.123278149 0.9279439866 0 0.247752245
## 1657 5 13 14 4.8634279 0.124245736 0.9282136764 0 0.248805048
## 1658 5 13 14 4.7814882 0.126960103 0.9187976829 0 0.254937799
## 1659 5 13 14 4.9002082 0.125599015 0.8942909036 0 0.255969886
## 1660 5 13 14 4.9178571 0.126808325 0.8879522025 0 0.252538942
## 1661 5 13 14 5.0514442 0.124905251 0.8761916541 0 0.248378139
## 1662 5 13 14 4.9859944 0.123415970 0.8982556661 0 0.248824266
## 1663 5 13 14 5.0243792 0.122622437 0.8963578246 0 0.248010034
## 1664 5 13 14 5.0243792 0.122622437 0.8963578246 0 0.248010034
## 1665 5 13 14 3.8179133 0.447721022 0.6541799301 0 0.442830448
## 1666 5 13 14 3.8179133 0.447721022 0.6541799301 0 0.442830448
## 1667 5 13 14 3.1279638 0.427210305 0.6666499470 0 0.378546169
## 1668 5 13 14 2.6583485 0.290841307 0.6399484963 0 0.368749592
## 1669 5 13 14 3.4835735 0.263428201 0.6373279242 0 0.353589183
## 1670 5 13 14 4.2864232 0.194146147 0.6306253104 0 0.359193379
## 1671 5 13 14 4.8643365 0.159856467 0.6342754136 0 0.394129631
## 1672 5 13 14 5.6010726 0.142131127 0.6401930525 0 0.364675627
## 1673 5 13 14 5.6998339 0.139975112 0.6169868474 0 0.354064467
## 1674 5 13 14 6.3677562 0.128861076 0.5896558381 0 0.324738650
## 1675 5 13 14 6.3690725 0.128943763 0.5910486767 0 0.315383505
## 1676 5 13 14 6.5947995 0.126599931 0.5700241689 0 0.320621169
## 1677 5 13 14 6.1916541 0.131577252 0.5808668014 0 0.326790922
## 1678 5 13 14 6.4416294 0.125805691 0.5957706472 0 0.310164801
## 1679 5 13 14 6.4587955 0.124060259 0.6250401512 0 0.301089932
## 1680 5 13 14 6.3360794 0.121350707 0.6521546967 0 0.310844339
## 1681 5 13 14 6.1463017 0.126015200 0.6500393136 0 0.306730758
## 1682 5 13 14 5.9888057 0.124708053 0.6595740500 0 0.315708807
## 1683 5 13 14 5.8774883 0.123148192 0.6996227275 0 0.303566885
## 1684 5 13 14 5.6417067 0.121510663 0.7315289354 0 0.314600261
## 1685 5 13 14 5.6480614 0.120147752 0.7443842693 0 0.310311695
## 1686 5 13 14 5.3655887 0.123817082 0.7621146009 0 0.317031516
## 1687 5 13 14 5.2246104 0.124489695 0.7767282973 0 0.323681072
## 1688 5 13 14 5.2505401 0.123191947 0.7872442481 0 0.323958295
## 1689 5 13 14 5.1177958 0.127233949 0.7758406787 0 0.342284935
## 1690 5 13 14 5.1292588 0.124589632 0.8035655120 0 0.331088317
## 1691 5 13 14 5.2132672 0.122530610 0.8112921492 0 0.316476559
## 1692 5 13 14 5.3809031 0.119929984 0.8089305971 0 0.305644450
## 1693 5 13 14 5.1868469 0.121243398 0.8289512851 0 0.323074060
## 1694 5 13 14 5.3101965 0.118935314 0.8261671175 0 0.313976380
## 1695 5 13 14 5.0430562 0.124338443 0.8355244589 0 0.321140680
## 1696 5 13 14 4.9126390 0.126044775 0.8341762041 0 0.335231116
## 1697 5 13 14 4.9813902 0.124792795 0.8255228300 0 0.339428002
## 1698 5 13 14 5.0827264 0.123611074 0.8089053475 0 0.341276599
## 1699 5 13 14 5.0599321 0.125020528 0.7839838165 0 0.345454514
## 1700 5 13 14 5.0612031 0.124382998 0.7964781649 0 0.345236185
## 1701 5 13 14 5.1487600 0.123058558 0.7994873152 0 0.331058769
## 1702 5 13 14 5.2071095 0.119657137 0.8144343292 0 0.335998418
## 1703 5 13 14 5.3250671 0.118898466 0.8020526815 0 0.318906442
## 1704 5 13 14 5.3319830 0.118271576 0.8105925423 0 0.317882636
## 1705 5 13 14 5.4128684 0.118421465 0.8068160597 0 0.314242435
## 1706 5 13 14 5.5302623 0.117203979 0.7761316811 0 0.323032565
## 1707 5 13 14 5.4024373 0.118663518 0.7813405817 0 0.327090738
## 1708 5 13 14 5.4435595 0.117719779 0.7861109089 0 0.325668040
## 1709 5 13 14 5.2850878 0.119556254 0.7953516824 0 0.328994703
## 1710 5 13 14 5.4289720 0.117136391 0.7902982519 0 0.325834785
## 1711 5 13 14 5.3891463 0.117274364 0.8038166115 0 0.319817113
## 1712 5 13 14 5.4196312 0.116404393 0.8077922462 0 0.317232618
## 1713 5 13 14 5.3517868 0.117240142 0.8185342937 0 0.321420126
## 1714 5 13 14 5.3481721 0.115974520 0.8476652050 0 0.308941819
## 1715 5 13 14 5.2697870 0.116403407 0.8549321751 0 0.313271892
## 1716 5 13 14 5.2437658 0.116741532 0.8502528627 0 0.320183541
## 1717 5 13 14 5.2437658 0.116741532 0.8502528627 0 0.320183541
## 1718 5 13 14 5.1912736 0.121377325 0.8485704677 0 0.319031129
## 1719 5 13 14 5.0380581 0.124835387 0.8477221660 0 0.328717813
## 1720 5 13 14 5.1575314 0.122913212 0.8438775002 0 0.316020568
## 1721 5 13 14 5.2383926 0.123237105 0.8276790519 0 0.312438560
## 1722 5 13 14 5.2751639 0.121263192 0.8256840459 0 0.319892723
## 1723 5 13 14 5.1023497 0.121773010 0.8317098612 0 0.318646291
## 1724 5 13 14 5.2003455 0.118899218 0.8495053532 0 0.314944973
## 1725 5 13 14 5.2500956 0.117594210 0.8540536129 0 0.311116752
## 1726 5 13 14 4.5558258 0.131547209 0.8624222284 0 0.363899973
## 1727 5 13 14 4.8257519 0.124720184 0.8579453119 0 0.344640600
## 1728 5 13 14 5.0442655 0.117834904 0.8710497383 0 0.328483102
## 1729 5 13 14 5.2023601 0.117302652 0.8680881741 0 0.315950205
## 1730 5 13 14 5.2094994 0.116700373 0.8662590559 0 0.314323529
## 1731 5 13 14 5.2547300 0.117522444 0.8604258580 0 0.319146842
## 1732 5 13 14 5.3532612 0.114222642 0.8771045009 0 0.323050798
## 1733 5 13 14 5.2119701 0.117367123 0.8701766837 0 0.325417700
## 1734 5 13 14 5.3013992 0.116206243 0.8751394286 0 0.321267259
## 1735 5 13 14 5.2390265 0.117035080 0.8739303989 0 0.318172029
## 1736 5 13 14 5.2446563 0.116428456 0.8743613122 0 0.319737522
## 1737 5 13 14 5.1118437 0.118575282 0.8914181210 0 0.322214951
## 1738 5 13 14 5.1858703 0.115026743 0.8938658044 0 0.331241562
## 1739 5 13 14 5.2349382 0.115072356 0.8937791005 0 0.330726975
## 1740 5 13 14 5.3346178 0.112185404 0.9034347566 0 0.317854603
## 1741 5 13 14 5.1152511 0.115895613 0.8905343760 0 0.336300847
## 1742 5 13 14 5.0306821 0.117586216 0.8862044297 0 0.347132723
## 1743 5 13 14 4.9942633 0.117470287 0.8799082076 0 0.348418130
## 1744 5 13 14 4.7036006 0.123081345 0.8784001841 0 0.365848418
## 1745 5 13 14 4.7817834 0.120967632 0.8758169278 0 0.363131195
## 1746 5 13 14 4.9037222 0.117944302 0.8689061613 0 0.356493003
## 1747 5 13 14 4.8275763 0.118989416 0.8758722869 0 0.360885337
## 1748 5 13 14 4.7201510 0.123241342 0.8727348425 0 0.357375833
## 1749 5 13 14 4.7348016 0.121822317 0.8750196832 0 0.360258078
## 1750 5 13 14 4.8656232 0.119512334 0.8671100859 0 0.358012319
## 1751 5 13 14 4.8778957 0.119517595 0.8658964222 0 0.341444857
## 1752 5 13 14 4.9201079 0.118566587 0.8658418003 0 0.337636992
## 1753 5 13 14 4.9002515 0.118654493 0.8585612043 0 0.341478859
## 1754 5 13 14 4.9645130 0.116589061 0.8619365592 0 0.332789432
## 1755 5 13 14 4.8543096 0.117904246 0.8726490835 0 0.355487667
## 1756 5 13 14 4.9048738 0.117105204 0.8736848783 0 0.333631892
## 1757 5 13 14 4.9011761 0.117970435 0.8719358984 0 0.335973768
## 1758 5 13 14 4.7805771 0.119743837 0.8774453351 0 0.342960751
## 1759 5 13 14 4.9172948 0.116225603 0.8891555174 0 0.331572573
## 1760 5 13 14 4.9196040 0.115566648 0.8905089925 0 0.335474762
## 1761 5 13 14 4.8989574 0.116022970 0.8939549922 0 0.334191692
## 1762 5 13 14 4.8869324 0.117055656 0.8899353251 0 0.335797028
## 1763 5 13 14 4.9307351 0.114996632 0.8907938279 0 0.335448692
## 1764 5 13 14 4.9193907 0.115247029 0.8981649697 0 0.331022871
## 1765 5 13 14 4.9512479 0.114291217 0.9009304094 0 0.328965250
## 1766 5 13 14 4.9503933 0.114276833 0.8963842305 0 0.336270745
## 1767 5 13 14 4.8793737 0.115284583 0.9010661111 0 0.337736979
## 1768 5 13 14 4.8793737 0.115284583 0.9010661111 0 0.337736979
## 1769 5 13 14 3.7885774 0.118938074 0.2749354417 0 0.001989278
## 1770 5 13 14 3.7885774 0.118938074 0.2749354417 0 0.001989278
## 1771 5 13 14 3.5970659 0.125549894 0.2686047067 0 0.001847054
## 1772 5 13 14 3.7716834 0.117805412 0.2372604034 0 0.002084269
## 1773 5 13 14 4.2262477 0.119579496 0.2183158685 0 0.002191914
## 1774 5 13 14 5.4907545 0.128244363 0.1865324241 0 0.002437960
## 1775 5 13 14 5.2226978 0.107975500 0.1232611818 0 0.002883296
## 1776 5 13 14 5.2143306 0.122325715 0.1166526487 0 0.003793480
## 1777 5 13 14 7.5678033 0.226245632 0.1077323185 0 0.004462054
## 1778 5 13 14 10.0548968 0.231023636 0.1461285143 0 0.006930668
## 1779 5 13 14 16.0692574 0.255637400 0.1617853892 0 0.010665244
## 1780 5 13 14 20.1068240 0.288471460 0.1989157281 0 0.009706467
## 1781 5 13 14 23.7059538 0.295946349 0.2591761403 0 0.011029916
## 1782 5 13 14 38.2511744 0.334382395 0.2614268346 0 0.021707983
## 1783 5 13 14 38.4963448 0.311575018 0.2309431137 0 0.034590625
## 1784 5 13 14 41.7022059 0.263231741 0.2683516456 0 0.046658360
## 1785 5 13 14 52.2378153 0.247975024 0.3085190165 0 0.070823285
## 1786 5 13 14 42.7567935 0.257761773 0.2860243747 0 0.092232065
## 1787 5 13 14 44.5894495 0.232345233 0.2331118216 0 0.074688585
## 1788 5 13 14 51.3285546 0.193884820 0.2202344212 0 0.076414513
## 1789 5 13 14 55.3141162 0.149553478 0.2111291129 0 0.075733700
## 1790 5 13 14 58.1879399 0.132489517 0.2083192632 0 0.071956004
## 1791 5 13 14 57.8251027 0.127999339 0.2000949170 0 0.068660382
## 1792 5 13 14 56.3212361 0.119298063 0.2044486363 0 0.068257310
## 1793 5 13 14 57.6029434 0.110676857 0.2097493052 0 0.067075229
## 1794 5 13 14 55.4638858 0.105452457 0.2196795710 0 0.067324378
## 1795 5 13 14 55.9511270 0.106370685 0.2199566880 0 0.066962972
## 1796 5 13 14 51.5873676 0.105062101 0.2459830112 0 0.066364500
## 1797 5 13 14 48.1669005 0.105535867 0.2751815378 0 0.063631681
## 1798 5 13 14 46.7128895 0.102916244 0.2754041617 0 0.066276392
## 1799 5 13 14 43.3332221 0.105175295 0.2885633990 0 0.065872183
## 1800 5 13 14 43.3803062 0.103100090 0.2907378622 0 0.065709522
## 1801 5 13 14 41.4403847 0.105632088 0.3032407696 0 0.063530063
## 1802 5 13 14 40.7937759 0.103688251 0.3188615564 0 0.063278674
## 1803 5 13 14 38.6914112 0.100908626 0.3211525000 0 0.064743083
## 1804 5 13 14 40.1545277 0.099916300 0.3068753662 0 0.064369707
## 1805 5 13 14 38.5155335 0.098992656 0.3159590792 0 0.065881380
## 1806 5 13 14 38.4825068 0.102377924 0.3109339936 0 0.063355921
## 1807 5 13 14 39.6052701 0.097218380 0.3092377496 0 0.065267475
## 1808 5 13 14 39.4249803 0.094506134 0.2944756334 0 0.065926571
## 1809 5 13 14 40.1230291 0.094045789 0.2978801698 0 0.066841298
## 1810 5 13 14 42.4209273 0.096528888 0.2781013267 0 0.066809850
## 1811 5 13 14 40.1866769 0.097976852 0.2842250782 0 0.066322234
## 1812 5 13 14 38.9618050 0.097531124 0.2986242780 0 0.065061813
## 1813 5 13 14 38.9180261 0.095793839 0.2971951317 0 0.066367344
## 1814 5 13 14 40.2779584 0.094729324 0.2899319323 0 0.067183539
## 1815 5 13 14 39.9797470 0.095810150 0.2938866315 0 0.066721476
## 1816 5 13 14 39.1354855 0.096033030 0.2978047717 0 0.065580931
## 1817 5 13 14 39.5917277 0.096643299 0.2953556827 0 0.065485451
## 1818 5 13 14 38.2807748 0.094509340 0.3041939569 0 0.065911100
## 1819 5 13 14 38.7382542 0.093758709 0.3019566619 0 0.066103065
## 1820 5 13 14 38.3609035 0.093855710 0.3115766010 0 0.065812488
## 1821 5 13 14 38.3609035 0.093855710 0.3115766010 0 0.065812488
## 1822 5 13 14 39.3806170 0.098583117 0.3109680231 0 0.064341949
## 1823 5 13 14 37.6662327 0.096772216 0.3034859197 0 0.066196995
## 1824 5 13 14 37.9618410 0.100788205 0.3016327016 0 0.065639982
## 1825 5 13 14 41.2940127 0.104741283 0.2906533831 0 0.063215768
## 1826 5 13 14 41.6994489 0.100712170 0.2850902805 0 0.065931489
## 1827 5 13 14 37.2577335 0.106684918 0.3039703351 0 0.065938062
## 1828 5 13 14 34.9117608 0.105870001 0.3435616880 0 0.064351409
## 1829 5 13 14 32.0916439 0.107433812 0.3614092155 0 0.064076834
## 1830 5 13 14 33.1429744 0.106338009 0.3559974774 0 0.063916459
## 1831 5 13 14 35.9343309 0.104156116 0.3231153912 0 0.066081571
## 1832 5 13 14 35.0906541 0.103731885 0.3461308971 0 0.063918693
## 1833 5 13 14 33.2428091 0.104196550 0.3679539271 0 0.063696511
## 1834 5 13 14 32.3564307 0.106513836 0.3642067932 0 0.063227998
## 1835 5 13 14 31.6956080 0.102695129 0.3774748400 0 0.064547738
## 1836 5 13 14 30.1993582 0.098401383 0.3835223033 0 0.065793092
## 1837 5 13 14 29.1184737 0.099258935 0.4227029266 0 0.066216557
## 1838 5 13 14 27.8170834 0.101087188 0.4676144187 0 0.066003100
## 1839 5 13 14 24.2570454 0.106396172 0.5344605670 0 0.063820569
## 1840 5 13 14 23.0602849 0.105242330 0.5641378784 0 0.063313425
## 1841 5 13 14 22.5450830 0.105491978 0.5803156158 0 0.065128305
## 1842 5 13 14 20.8335858 0.100840492 0.6170720779 0 0.065225077
## 1843 5 13 14 19.4393261 0.100834775 0.6511784967 0 0.065059415
## 1844 5 13 14 17.6938901 0.099878879 0.6810686345 0 0.066061769
## 1845 5 13 14 18.5754412 0.102797257 0.6866641584 0 0.063731808
## 1846 5 13 14 18.7312978 0.103279193 0.6840077269 0 0.063857681
## 1847 5 13 14 18.8489940 0.103430380 0.6846837479 0 0.063495109
## 1848 5 13 14 18.9247727 0.102769658 0.6801180868 0 0.064108119
## 1849 5 13 14 18.7674438 0.104395700 0.6757000396 0 0.064537388
## 1850 5 13 14 18.8744752 0.103281509 0.6551922786 0 0.065195155
## 1851 5 13 14 18.9290909 0.106624738 0.6617680085 0 0.065019605
## 1852 5 13 14 18.3760144 0.104285784 0.6703142203 0 0.065206432
## 1853 5 13 14 18.1706104 0.101400586 0.6724430756 0 0.066842861
## 1854 5 13 14 17.9834503 0.106290403 0.6732780518 0 0.064372602
## 1855 5 13 14 18.0421282 0.104909273 0.6649783885 0 0.063957282
## 1856 5 13 14 18.4502408 0.099755765 0.6578001130 0 0.065220211
## 1857 5 13 14 18.1296789 0.098096118 0.6655664341 0 0.065443002
## 1858 5 13 14 18.5605882 0.099246446 0.6583620883 0 0.063849620
## 1859 5 13 14 19.2376046 0.099993575 0.6439025347 0 0.063235781
## 1860 5 13 14 19.2566449 0.100963999 0.6351338226 0 0.062655682
## 1861 5 13 14 20.1737221 0.103195024 0.6205006697 0 0.062331636
## 1862 5 13 14 19.5169179 0.103287825 0.6339268419 0 0.063075554
## 1863 5 13 14 19.7685965 0.100977016 0.6200302604 0 0.064775943
## 1864 5 13 14 19.3261704 0.103048212 0.6279269199 0 0.064205720
## 1865 5 13 14 19.0294608 0.103168554 0.6372276222 0 0.064264369
## 1866 5 13 14 19.1078103 0.102809290 0.6351502447 0 0.063637488
## 1867 5 13 14 19.0637799 0.100754132 0.6292699784 0 0.064297077
## 1868 5 13 14 19.3092140 0.102055630 0.6291851664 0 0.063388520
## 1869 5 13 14 19.1172427 0.099570214 0.6287310362 0 0.064315155
## 1870 5 13 14 19.7312192 0.098585257 0.6136214866 0 0.064590874
## 1871 5 13 14 19.2872891 0.099874795 0.6300081013 0 0.063741108
## 1872 5 13 14 19.2872891 0.099874795 0.6300081013 0 0.063741108
## 1873 5 13 14 3.0339456 0.442891394 0.6152055820 0 0.653994919
## 1874 5 13 14 3.0339456 0.442891394 0.6152055820 0 0.653994919
## 1875 5 13 14 1.9430717 0.358872976 0.6126733123 0 0.582557734
## 1876 5 13 14 2.6496133 0.282082533 0.5652496454 0 0.545304655
## 1877 5 13 14 2.6823217 0.232497073 0.5379687342 0 0.667095871
## 1878 5 13 14 3.1246573 0.208029312 0.5264524857 0 0.640115756
## 1879 5 13 14 3.2188312 0.200920526 0.5502567556 0 0.646825171
## 1880 5 13 14 3.1307826 0.206841479 0.5780326409 0 0.618801950
## 1881 5 13 14 3.4559251 0.192913956 0.6192911626 0 0.555868997
## 1882 5 13 14 3.7715988 0.182730640 0.6285074056 0 0.503950482
## 1883 5 13 14 4.0044515 0.176604410 0.6160982154 0 0.481032438
## 1884 5 13 14 3.9397289 0.175965506 0.6453133046 0 0.467396323
## 1885 5 13 14 4.0739870 0.169624896 0.6420161859 0 0.457470522
## 1886 5 13 14 3.8733406 0.175069339 0.6555633322 0 0.461244803
## 1887 5 13 14 3.9218674 0.172897991 0.6616739454 0 0.445740033
## 1888 5 13 14 4.2665138 0.163609523 0.6399380025 0 0.410050878
## 1889 5 13 14 4.5547012 0.154363030 0.6428109292 0 0.393710330
## 1890 5 13 14 4.6374003 0.152526832 0.6658731859 0 0.362534021
## 1891 5 13 14 4.7886877 0.151994718 0.6426403536 0 0.355497781
## 1892 5 13 14 5.1894194 0.141814469 0.6656625928 0 0.322623416
## 1893 5 13 14 5.3049165 0.139257337 0.6703715373 0 0.310149737
## 1894 5 13 14 5.5966573 0.134455297 0.6685547597 0 0.296460972
## 1895 5 13 14 5.5738776 0.133402089 0.6856898365 0 0.280144096
## 1896 5 13 14 5.7797943 0.130105472 0.6977355100 0 0.265654335
## 1897 5 13 14 5.7899653 0.128688552 0.7026728158 0 0.259275785
## 1898 5 13 14 6.0392195 0.123471282 0.6951727556 0 0.254623856
## 1899 5 13 14 6.0722452 0.123693876 0.6892943399 0 0.257718589
## 1900 5 13 14 6.0893074 0.123233613 0.7006558104 0 0.249060271
## 1901 5 13 14 5.8893125 0.123563069 0.7082778532 0 0.253485592
## 1902 5 13 14 6.0437574 0.121006970 0.7079107612 0 0.245980129
## 1903 5 13 14 5.9012747 0.122334193 0.7302769759 0 0.237769788
## 1904 5 13 14 5.9457212 0.119431663 0.7342566000 0 0.244461829
## 1905 5 13 14 5.8457781 0.120158973 0.7430608363 0 0.250995329
## 1906 5 13 14 5.8354952 0.118351124 0.7574715708 0 0.251484350
## 1907 5 13 14 5.8018297 0.119941695 0.7461826721 0 0.255789323
## 1908 5 13 14 5.7355612 0.118607044 0.7639920304 0 0.256921581
## 1909 5 13 14 5.7167033 0.120148352 0.7573125055 0 0.256743548
## 1910 5 13 14 5.7959817 0.119486720 0.7558002977 0 0.254398263
## 1911 5 13 14 5.6355678 0.118393991 0.7802302335 0 0.262746305
## 1912 5 13 14 5.4998184 0.118025043 0.8017369030 0 0.262368927
## 1913 5 13 14 5.3641550 0.119573278 0.8145364345 0 0.262452658
## 1914 5 13 14 5.1809657 0.119971864 0.8396782148 0 0.264141830
## 1915 5 13 14 5.1072059 0.120018540 0.8392379459 0 0.278721489
## 1916 5 13 14 5.1673522 0.117992758 0.8553570611 0 0.261427227
## 1917 5 13 14 5.1027017 0.118147760 0.8685191210 0 0.258947981
## 1918 5 13 14 5.0125230 0.119314544 0.8743493399 0 0.259064149
## 1919 5 13 14 4.8992907 0.121955229 0.8731751443 0 0.266820985
## 1920 5 13 14 4.8844643 0.121083438 0.8845145263 0 0.267907364
## 1921 5 13 14 4.8481296 0.121147123 0.8883646374 0 0.269074532
## 1922 5 13 14 4.9954342 0.119421063 0.8803288397 0 0.260605877
## 1923 5 13 14 4.8256750 0.122195722 0.8727059457 0 0.272948820
## 1924 5 13 14 4.6205761 0.126363707 0.8741429844 0 0.284106479
## 1925 5 13 14 4.6205761 0.126363707 0.8741429844 0 0.284106479
## 1926 5 13 14 4.6716986 0.128032777 0.8729393980 0 0.284021157
## 1927 5 13 14 4.6258052 0.130227647 0.8675500318 0 0.282565329
## 1928 5 13 14 4.7864928 0.126644862 0.8684806317 0 0.269482868
## 1929 5 13 14 4.5936498 0.130612588 0.8803562782 0 0.270646935
## 1930 5 13 14 4.7429126 0.129626313 0.8648995453 0 0.260657406
## 1931 5 13 14 4.6216442 0.131513178 0.8644010683 0 0.271100848
## 1932 5 13 14 4.5217759 0.132630719 0.8679421925 0 0.284887874
## 1933 5 13 14 4.4631186 0.134267678 0.8757827371 0 0.269541807
## 1934 5 13 14 4.5174851 0.132123015 0.8867398633 0 0.270278278
## 1935 5 13 14 4.5711912 0.130243218 0.8840875445 0 0.281034274
## 1936 5 13 14 4.5145877 0.133039132 0.8760707800 0 0.278821399
## 1937 5 13 14 4.3843099 0.135862604 0.8691584215 0 0.289277578
## 1938 5 13 14 4.5234262 0.134558235 0.8558627856 0 0.289373677
## 1939 5 13 14 4.6367080 0.131018479 0.8529020526 0 0.285346194
## 1940 5 13 14 4.8283655 0.128204135 0.8344337341 0 0.282970735
## 1941 5 13 14 4.8502967 0.128670089 0.8333034017 0 0.265510366
## 1942 5 13 14 5.1221144 0.124520747 0.8210874042 0 0.246808416
## 1943 5 13 14 5.1558107 0.122786563 0.8256060356 0 0.254832109
## 1944 5 13 14 5.1122688 0.123860284 0.8265469008 0 0.257848585
## 1945 5 13 14 5.0786898 0.124060359 0.8248257392 0 0.262158884
## 1946 5 13 14 5.0510402 0.127032272 0.8020190479 0 0.264986115
## 1947 5 13 14 5.0317775 0.129093582 0.7853954603 0 0.269722102
## 1948 5 13 14 5.0930279 0.128461403 0.7887696686 0 0.271882901
## 1949 5 13 14 5.0109158 0.127749511 0.7913817147 0 0.277695657
## 1950 5 13 14 5.0170732 0.128315426 0.7698706575 0 0.288774561
## 1951 5 13 14 5.0106032 0.128458890 0.7451206050 0 0.296983944
## 1952 5 13 14 4.8384246 0.133184582 0.7435507511 0 0.314474496
## 1953 5 13 14 4.9261705 0.131199384 0.7482099022 0 0.307398041
## 1954 5 13 14 4.9348135 0.131069465 0.7455671208 0 0.306782680
## 1955 5 13 14 4.9262821 0.131665285 0.7487828956 0 0.300217791
## 1956 5 13 14 5.1554233 0.125427216 0.7395846931 0 0.303179287
## 1957 5 13 14 5.3762686 0.121870515 0.7675680642 0 0.264420682
## 1958 5 13 14 5.3335859 0.122566329 0.7564303786 0 0.281314687
## 1959 5 13 14 5.3992902 0.122470274 0.7513163523 0 0.270172364
## 1960 5 13 14 5.3975397 0.121403193 0.7525593636 0 0.277261820
## 1961 5 13 14 5.4550678 0.120938869 0.7499808758 0 0.270937374
## 1962 5 13 14 5.4903510 0.120649762 0.7347912819 0 0.274703943
## 1963 5 13 14 5.5077334 0.121063128 0.7389597382 0 0.275263906
## 1964 5 13 14 5.4846339 0.121459809 0.7329703436 0 0.276496166
## 1965 5 13 14 5.4660010 0.120560584 0.7474729247 0 0.276693903
## 1966 5 13 14 5.4666645 0.121735980 0.7381293635 0 0.272793904
## 1967 5 13 14 5.6579652 0.119894946 0.7304792350 0 0.267864222
## 1968 5 13 14 5.5518177 0.120208005 0.7406833526 0 0.266027576
## 1969 5 13 14 5.6898795 0.119310282 0.7258049891 0 0.265234150
## 1970 5 13 14 5.7329625 0.118338132 0.7224520940 0 0.265913141
## 1971 5 13 14 5.6151129 0.120396722 0.7278702334 0 0.269649011
## 1972 5 13 14 5.6055045 0.119983483 0.7315417275 0 0.269379210
## 1973 5 13 14 5.4280835 0.123192954 0.7276733467 0 0.271235309
## 1974 5 13 14 5.4410786 0.122427724 0.7288414621 0 0.277913061
## 1975 5 13 14 5.5457983 0.120084786 0.7330741242 0 0.272358315
## 1976 5 13 14 5.5457983 0.120084786 0.7330741242 0 0.272358315
## 1977 5 13 14 7.5889305 0.134597079 0.0603741555 0 0.623735773
## 1978 5 13 14 7.5889305 0.134597079 0.0603741555 0 0.623735773
## 1979 5 13 14 5.8071966 0.127863772 0.0582979475 0 0.605377945
## 1980 5 13 14 6.6054720 0.135532042 0.0675168799 0 0.546395838
## 1981 5 13 14 7.0175750 0.144492107 0.0678171617 0 0.485590066
## 1982 5 13 14 7.4310543 0.158414883 0.0926895622 0 0.398841476
## 1983 5 13 14 7.2061241 0.167473512 0.0857343260 0 0.389456503
## 1984 5 13 14 7.5021481 0.157591238 0.0853465154 0 0.389702421
## 1985 5 13 14 8.7969483 0.146266784 0.0987728734 0 0.347183995
## 1986 5 13 14 9.2143497 0.144380454 0.1052975132 0 0.329534802
## 1987 5 13 14 11.7038662 0.131945130 0.1168943765 0 0.276240749
## 1988 5 13 14 13.6199959 0.123821065 0.1209141701 0 0.246553126
## 1989 5 13 14 14.1913884 0.124300130 0.1297071235 0 0.227090209
## 1990 5 13 14 14.5419234 0.125703840 0.1311237735 0 0.212626219
## 1991 5 13 14 15.4127395 0.121353028 0.1324581027 0 0.206478258
## 1992 5 13 14 15.0069034 0.121285287 0.1349690163 0 0.211143762
## 1993 5 13 14 14.2162709 0.121068060 0.1471779526 0 0.221607794
## 1994 5 13 14 14.7640481 0.120825480 0.1313068047 0 0.214887039
## 1995 5 13 14 17.2892583 0.113417383 0.1232876276 0 0.196405144
## 1996 5 13 14 16.8690242 0.113923973 0.1293639339 0 0.198894637
## 1997 5 13 14 17.3766276 0.112881313 0.1168915151 0 0.200424538
## 1998 5 13 14 16.6938969 0.115649047 0.1136809165 0 0.204623535
## 1999 5 13 14 16.7017135 0.114905163 0.0995802526 0 0.210188894
## 2000 5 13 14 17.4653356 0.115754606 0.0951541753 0 0.200081473
## 2001 5 13 14 16.2569949 0.117402029 0.0864521585 0 0.216051774
## 2002 5 13 14 16.2603505 0.119469329 0.0898191690 0 0.211401376
## 2003 5 13 14 15.7403816 0.121920980 0.0887105668 0 0.214216346
## 2004 5 13 14 16.1013738 0.117146709 0.0906720183 0 0.216907550
## 2005 5 13 14 15.8848036 0.118150428 0.1021252052 0 0.209564967
## 2006 5 13 14 16.0551213 0.118740553 0.1064172554 0 0.201937329
## 2007 5 13 14 16.1139047 0.116532734 0.0895426761 0 0.214719249
## 2008 5 13 14 15.8532804 0.115824784 0.0966586987 0 0.214314322
## 2009 5 13 14 15.5066745 0.117726349 0.0819580655 0 0.224152350
## 2010 5 13 14 15.0863635 0.116446950 0.0903152285 0 0.229805085
## 2011 5 13 14 14.5241813 0.119924922 0.0947470484 0 0.231143973
## 2012 5 13 14 14.6858672 0.119440774 0.1017355044 0 0.224577043
## 2013 5 13 14 14.3800906 0.119553997 0.1059539108 0 0.226964799
## 2014 5 13 14 13.8427639 0.118934570 0.1113016327 0 0.236428989
## 2015 5 13 14 13.8026451 0.119583820 0.1083844903 0 0.236355095
## 2016 5 13 14 13.2482597 0.119315154 0.1094236829 0 0.248893569
## 2017 5 13 14 12.6578235 0.122580921 0.1117540291 0 0.253639809
## 2018 5 13 14 12.7983543 0.122383819 0.1124587346 0 0.250204146
## 2019 5 13 14 13.2155756 0.120080922 0.1174353263 0 0.241840139
## 2020 5 13 14 13.1315057 0.118176336 0.1223281849 0 0.246676863
## 2021 5 13 14 12.8897078 0.119367792 0.1242618527 0 0.244179973
## 2022 5 13 14 12.6859768 0.120819425 0.1305878249 0 0.243331609
## 2023 5 13 14 12.1818442 0.122948580 0.1334650665 0 0.247413855
## 2024 5 13 14 11.5292404 0.123728894 0.1521580357 0 0.250151460
## 2025 5 13 14 11.2452716 0.122896086 0.1571858945 0 0.256504696
## 2026 5 13 14 11.0096555 0.123803119 0.1540519992 0 0.260619111
## 2027 5 13 14 10.9288517 0.123064636 0.1632023251 0 0.257409595
## 2028 5 13 14 11.2029612 0.121496239 0.1828508579 0 0.244704877
## 2029 5 13 14 11.2029612 0.121496239 0.1828508579 0 0.244704877
## 2030 5 13 14 11.1956479 0.124810417 0.1832955711 0 0.249209036
## 2031 5 13 14 10.9252120 0.126579398 0.1858341243 0 0.249535481
## 2032 5 13 14 10.6247755 0.129822234 0.1897695057 0 0.249876060
## 2033 5 13 14 10.4797547 0.131843384 0.1843917096 0 0.246720166
## 2034 5 13 14 11.0291530 0.130552814 0.1737027991 0 0.242275281
## 2035 5 13 14 10.6915339 0.130800452 0.1828227244 0 0.242537349
## 2036 5 13 14 11.5499517 0.124518822 0.1757326731 0 0.235871155
## 2037 5 13 14 11.2893819 0.126432459 0.1821569826 0 0.237599475
## 2038 5 13 14 11.2054941 0.129518007 0.1602828167 0 0.243706758
## 2039 5 13 14 11.6439507 0.125845025 0.1781139959 0 0.228306041
## 2040 5 13 14 11.4278761 0.122136375 0.1924842646 0 0.236111229
## 2041 5 13 14 10.9764819 0.124082073 0.2053501038 0 0.240362528
## 2042 5 13 14 9.7661753 0.125507007 0.2525483463 0 0.254374918
## 2043 5 13 14 9.9774901 0.123126621 0.2486307193 0 0.253102277
## 2044 5 13 14 9.6423435 0.126606520 0.2437766599 0 0.256901496
## 2045 5 13 14 9.8295470 0.125371278 0.2585236073 0 0.241575927
## 2046 5 13 14 10.1348929 0.125481909 0.2470455682 0 0.235523332
## 2047 5 13 14 9.8121826 0.122557846 0.2761823724 0 0.238275570
## 2048 5 13 14 9.2359975 0.124059129 0.2965856291 0 0.247742164
## 2049 5 13 14 8.6642435 0.127911789 0.3207133249 0 0.250146383
## 2050 5 13 14 9.0050330 0.125500012 0.3101884765 0 0.246564973
## 2051 5 13 14 9.1504680 0.121080593 0.3311592079 0 0.240312738
## 2052 5 13 14 8.6796953 0.122966412 0.3536362167 0 0.238957723
## 2053 5 13 14 8.7041911 0.121598365 0.3558580588 0 0.243837917
## 2054 5 13 14 8.8345246 0.122450160 0.3464246738 0 0.236999514
## 2055 5 13 14 8.4220054 0.124940756 0.3676581303 0 0.237032837
## 2056 5 13 14 8.4889342 0.125075843 0.3512721419 0 0.238769951
## 2057 5 13 14 8.1661042 0.125685986 0.3823516345 0 0.237346660
## 2058 5 13 14 8.0800940 0.124321228 0.4133922276 0 0.228946768
## 2059 5 13 14 7.9008888 0.124898915 0.4281938596 0 0.225497151
## 2060 5 13 14 7.9090981 0.120869489 0.4527569943 0 0.228672128
## 2061 5 13 14 7.6857890 0.123041183 0.4551660274 0 0.230550277
## 2062 5 13 14 7.4210047 0.126905483 0.4579468337 0 0.229918970
## 2063 5 13 14 7.5488635 0.123234382 0.4729508987 0 0.225675612
## 2064 5 13 14 7.3687825 0.125729919 0.4680540586 0 0.233680296
## 2065 5 13 14 7.3961062 0.123325931 0.4884886262 0 0.225485485
## 2066 5 13 14 7.3817181 0.125627302 0.4761793772 0 0.226951586
## 2067 5 13 14 7.6245865 0.126480942 0.4505268260 0 0.226252065
## 2068 5 13 14 7.5383068 0.127220238 0.4572987469 0 0.223865925
## 2069 5 13 14 7.4931119 0.125127573 0.4721093938 0 0.224864976
## 2070 5 13 14 7.4181248 0.124076333 0.4995839475 0 0.215529554
## 2071 5 13 14 7.2078824 0.124656804 0.5051584714 0 0.223549023
## 2072 5 13 14 7.2149381 0.124146649 0.5167075812 0 0.219453405
## 2073 5 13 14 7.0117048 0.125914264 0.5292920093 0 0.220074313
## 2074 5 13 14 7.0515568 0.125821472 0.5252263642 0 0.218317838
## 2075 5 13 14 7.0904081 0.124555255 0.5349910645 0 0.216047929
## 2076 5 13 14 7.0315333 0.122423585 0.5653587678 0 0.209910456
## 2077 5 13 14 6.7755966 0.122925289 0.5917215106 0 0.208919945
## 2078 5 13 14 6.5434961 0.121906146 0.6238352767 0 0.208244210
## 2079 5 13 14 6.3849590 0.123649809 0.6372837174 0 0.204866635
## 2080 5 13 14 6.3849590 0.123649809 0.6372837174 0 0.204866635
## 2081 5 13 14 6.4292327 0.444411150 0.5966432862 0 0.217515522
## 2082 5 13 14 6.4292327 0.444411150 0.5966432862 0 0.217515522
## 2083 5 13 14 4.7171503 0.334829390 0.6237955384 0 0.215168756
## 2084 5 13 14 4.9629414 0.315577186 0.6323469715 0 0.270287417
## 2085 5 13 14 5.8910045 0.244109620 0.6877847356 0 0.323514624
## 2086 5 13 14 4.9226304 0.184809774 0.6250896825 0 0.396587224
## 2087 5 13 14 6.0545045 0.134601451 0.6728450019 0 0.450479695
## 2088 5 13 14 6.7161804 0.108903807 0.7105928783 0 0.459818450
## 2089 5 13 14 7.4818353 0.093992702 0.6733395034 0 0.537048762
## 2090 5 13 14 7.4620573 0.089487580 0.6737825801 0 0.581760822
## 2091 5 13 14 7.4506782 0.087017334 0.6669265681 0 0.607974908
## 2092 5 13 14 7.0381812 0.089014557 0.6782744814 0 0.632635732
## 2093 5 13 14 6.6205370 0.093004623 0.6911328550 0 0.661227526
## 2094 5 13 14 6.1735285 0.095724316 0.7006462963 0 0.695942418
## 2095 5 13 14 5.9263862 0.097878068 0.7140609308 0 0.711105714
## 2096 5 13 14 5.7660928 0.099057280 0.7123498796 0 0.730916806
## 2097 5 13 14 5.5964573 0.100550049 0.7043982143 0 0.746414829
## 2098 5 13 14 5.4081558 0.102953025 0.7182836932 0 0.758113177
## 2099 5 13 14 5.2467010 0.104745174 0.7196882589 0 0.769146256
## 2100 5 13 14 5.1376873 0.105024148 0.7082674539 0 0.788894146
## 2101 5 13 14 5.0935681 0.104889520 0.7195084098 0 0.800643652
## 2102 5 13 14 4.9856284 0.105272186 0.7168315365 0 0.808130064
## 2103 5 13 14 4.9495677 0.105416810 0.7252098981 0 0.809749390
## 2104 5 13 14 4.8566603 0.106823965 0.7220355776 0 0.814938483
## 2105 5 13 14 4.7526449 0.109405496 0.7202431576 0 0.834104925
## 2106 5 13 14 4.8370967 0.106944544 0.7368915290 0 0.835837303
## 2107 5 13 14 4.7940683 0.108028345 0.7206948151 0 0.839741709
## 2108 5 13 14 4.8800695 0.105552004 0.7043125118 0 0.850596965
## 2109 5 13 14 4.8540377 0.105825555 0.7049860096 0 0.849449378
## 2110 5 13 14 4.7810841 0.106084511 0.6990827813 0 0.856303292
## 2111 5 13 14 4.7737249 0.105263783 0.7056283531 0 0.867867238
## 2112 5 13 14 4.7057009 0.105427075 0.7233871546 0 0.873917468
## 2113 5 13 14 4.7203714 0.104581840 0.7090377359 0 0.885605919
## 2114 5 13 14 4.6241037 0.106438739 0.7132104025 0 0.888230952
## 2115 5 13 14 4.6393370 0.106272715 0.7168990694 0 0.884572357
## 2116 5 13 14 4.7697278 0.104086036 0.7179871372 0 0.876142597
## 2117 5 13 14 4.6613177 0.105800290 0.7217864030 0 0.877697266
## 2118 5 13 14 4.5913076 0.107091978 0.7407451149 0 0.884210462
## 2119 5 13 14 4.6192148 0.106335365 0.7453843083 0 0.883441213
## 2120 5 13 14 4.5988924 0.106612616 0.7487313948 0 0.886966103
## 2121 5 13 14 4.5682114 0.106646332 0.7586028729 0 0.894012294
## 2122 5 13 14 4.5029819 0.108032607 0.7608947654 0 0.895426563
## 2123 5 13 14 4.3877378 0.110692098 0.7693288992 0 0.905356088
## 2124 5 13 14 4.4303361 0.109564624 0.7556338310 0 0.903267991
## 2125 5 13 14 4.4459440 0.108780704 0.7476849806 0 0.903961516
## 2126 5 13 14 4.3997476 0.109451330 0.7443513495 0 0.909489842
## 2127 5 13 14 4.4547170 0.108416229 0.7353721959 0 0.908101998
## 2128 5 13 14 4.4620519 0.108399775 0.7271298025 0 0.904283331
## 2129 5 13 14 4.4516144 0.107845957 0.7140616165 0 0.906980684
## 2130 5 13 14 4.4754630 0.107893176 0.7192307728 0 0.905270630
## 2131 5 13 14 4.5015868 0.107378260 0.7327224718 0 0.897016146
## 2132 5 13 14 4.4339678 0.109102650 0.7325985985 0 0.896933311
## 2133 5 13 14 4.4339678 0.109102650 0.7325985985 0 0.896933311
## 2134 5 13 14 4.3915217 0.112599221 0.7351864654 0 0.895621237
## 2135 5 13 14 4.3374004 0.113178629 0.7347348601 0 0.897323711
## 2136 5 13 14 4.3246939 0.113308456 0.7309279336 0 0.897782834
## 2137 5 13 14 4.3121219 0.113814630 0.7233058720 0 0.902508327
## 2138 5 13 14 4.3505432 0.112388726 0.7117442293 0 0.903606293
## 2139 5 13 14 4.2586327 0.114454863 0.7213321980 0 0.903847312
## 2140 5 13 14 4.3466956 0.113378364 0.7015149734 0 0.905831327
## 2141 5 13 14 4.3698840 0.112206504 0.7254713078 0 0.909025886
## 2142 5 13 14 4.2526535 0.114232575 0.7276007422 0 0.918627850
## 2143 5 13 14 4.2400651 0.113916527 0.7233798306 0 0.914163903
## 2144 5 13 14 4.3077863 0.113559220 0.7187804308 0 0.914335951
## 2145 5 13 14 4.2535675 0.114209764 0.6893763876 0 0.908426074
## 2146 5 13 14 4.3217909 0.112577005 0.6903399848 0 0.907663975
## 2147 5 13 14 4.1379363 0.117764523 0.6740985150 0 0.920414658
## 2148 5 13 14 4.1443177 0.117072094 0.6548287304 0 0.916780624
## 2149 5 13 14 4.1405743 0.117599772 0.6328573478 0 0.914108411
## 2150 5 13 14 4.2073762 0.115958220 0.6264587932 0 0.910663910
## 2151 5 13 14 4.1725669 0.116277962 0.6473291082 0 0.914298224
## 2152 5 13 14 4.1835156 0.117322852 0.6406920847 0 0.905057331
## 2153 5 13 14 4.1243695 0.117616061 0.6208406303 0 0.909125464
## 2154 5 13 14 4.0775541 0.118934598 0.6077796291 0 0.910420701
## 2155 5 13 14 4.1119406 0.118156069 0.5969498790 0 0.912410690
## 2156 5 13 14 4.1743938 0.116266438 0.6039578479 0 0.917426275
## 2157 5 13 14 4.0884796 0.118252998 0.5684832284 0 0.915586221
## 2158 5 13 14 4.1383928 0.116806952 0.5576264305 0 0.917389712
## 2159 5 13 14 4.1128030 0.117422558 0.5385042016 0 0.919421686
## 2160 5 13 14 4.1846546 0.116716080 0.5513463705 0 0.917155053
## 2161 5 13 14 4.1733985 0.116068242 0.5437812591 0 0.908902134
## 2162 5 13 14 4.2024357 0.116211522 0.5060395730 0 0.908642863
## 2163 5 13 14 4.1139777 0.116766154 0.4671869711 0 0.923529449
## 2164 5 13 14 4.0846458 0.117170567 0.4558369459 0 0.930159863
## 2165 5 13 14 4.0767112 0.117002877 0.4550842728 0 0.933035961
## 2166 5 13 14 4.1083536 0.117335469 0.4533920239 0 0.928234473
## 2167 5 13 14 4.1063967 0.117325407 0.4417131803 0 0.922872346
## 2168 5 13 14 4.1950736 0.115159628 0.4559656252 0 0.917631291
## 2169 5 13 14 4.2036522 0.115170105 0.4447134363 0 0.917291361
## 2170 5 13 14 4.1408302 0.116910445 0.4347009147 0 0.917300726
## 2171 5 13 14 4.2397647 0.115399176 0.4026863879 0 0.915386284
## 2172 5 13 14 4.2785791 0.113124175 0.4218772569 0 0.919760213
## 2173 5 13 14 4.2411229 0.115240540 0.4048649830 0 0.910473980
## 2174 5 13 14 4.2937376 0.114578155 0.4215531854 0 0.912758583
## 2175 5 13 14 4.2393794 0.115497766 0.4555173429 0 0.908344134
## 2176 5 13 14 4.2382238 0.114308134 0.4539378973 0 0.910785833
## 2177 5 13 14 4.3638776 0.112127716 0.4700859864 0 0.901936699
## 2178 5 13 14 4.3236260 0.112898121 0.4835824146 0 0.908123081
## 2179 5 13 14 4.3331505 0.111810606 0.5024681947 0 0.905442582
## 2180 5 13 14 4.2723886 0.113168559 0.5105216853 0 0.914047847
## 2181 5 13 14 4.2125896 0.114886072 0.4970586208 0 0.909422323
## 2182 5 13 14 4.2125850 0.113650391 0.4961171381 0 0.912477149
## 2183 5 13 14 4.2069250 0.112824029 0.4926338452 0 0.920219014
## 2184 5 13 14 4.2069250 0.112824029 0.4926338452 0 0.920219014
## 2185 5 13 14 5.3648230 0.064176436 0.5859986850 0 0.982405677
## 2186 5 13 14 5.3648230 0.064176436 0.5859986850 0 0.982405677
## 2187 5 13 14 5.7024366 0.078185167 0.6343259299 0 0.984007860
## 2188 5 13 14 5.1915191 0.075939638 0.5861160406 0 0.982241111
## 2189 5 13 14 5.0617517 0.083056228 0.5039664461 0 0.983235603
## 2190 5 13 14 4.6761816 0.092325329 0.6645202646 0 0.979814332
## 2191 5 13 14 4.3953807 0.088231602 0.4863733673 0 0.971233824
## 2192 5 13 14 4.1457113 0.090625889 0.5501086661 0 0.972693200
## 2193 5 13 14 4.8596423 0.079082743 0.6527868709 0 0.974239600
## 2194 5 13 14 4.3516148 0.093068934 0.5404509288 0 0.976882503
## 2195 5 13 14 4.4151256 0.097453758 0.6196894683 0 0.970351117
## 2196 5 13 14 4.2227146 0.101395150 0.5982992732 0 0.981345362
## 2197 5 13 14 3.9291777 0.100603931 0.6492756538 0 0.978965106
## 2198 5 13 14 3.9376539 0.102027839 0.6434749625 0 0.976008280
## 2199 5 13 14 3.9372001 0.105091106 0.6644563820 0 0.974190724
## 2200 5 13 14 3.8775230 0.107114643 0.7037676214 0 0.955553393
## 2201 5 13 14 2.9124342 0.170541535 0.4974841277 0 0.948533739
## 2202 5 13 14 2.8175304 0.172468244 0.5110607601 0 0.952008476
## 2203 5 13 14 2.9051227 0.165858595 0.5430737428 0 0.948039327
## 2204 5 13 14 2.6319638 0.179317125 0.4773595544 0 0.956243131
## 2205 5 13 14 2.5732520 0.183223170 0.5233263303 0 0.961780567
## 2206 5 13 14 2.6209934 0.178888930 0.4829471624 0 0.958307327
## 2207 5 13 14 2.5349437 0.183784496 0.4885001127 0 0.956616662
## 2208 5 13 14 2.5451853 0.183375237 0.4962900454 0 0.954264092
## 2209 5 13 14 2.6462469 0.178891522 0.4879906698 0 0.945812993
## 2210 5 13 14 2.6430792 0.178927796 0.4863095220 0 0.937620637
## 2211 5 13 14 2.6503348 0.180236391 0.4786888541 0 0.931842870
## 2212 5 13 14 2.7227962 0.175292827 0.4793607491 0 0.925554837
## 2213 5 13 14 2.7515103 0.174981116 0.4852182511 0 0.915956526
## 2214 5 13 14 2.6675740 0.178478027 0.4679667925 0 0.912876245
## 2215 5 13 14 2.6546269 0.179312130 0.5104578000 0 0.909949244
## 2216 5 13 14 2.5168562 0.186429325 0.4906867170 0 0.911678976
## 2217 5 13 14 2.6214656 0.179697681 0.5018415996 0 0.910875815
## 2218 5 13 14 2.7059801 0.174886867 0.5042837235 0 0.905401887
## 2219 5 13 14 2.7905173 0.167953150 0.4979738451 0 0.905420234
## 2220 5 13 14 2.8649654 0.165379847 0.4772726281 0 0.904421527
## 2221 5 13 14 2.8719907 0.164402158 0.4861204614 0 0.907911596
## 2222 5 13 14 2.9492323 0.162189336 0.4822620326 0 0.890538083
## 2223 5 13 14 2.9592234 0.163646092 0.4701648939 0 0.890476279
## 2224 5 13 14 2.9570270 0.163265021 0.4690833503 0 0.883954034
## 2225 5 13 14 2.9687098 0.163135026 0.4649062153 0 0.878612529
## 2226 5 13 14 3.0345562 0.159820614 0.4476417902 0 0.878324986
## 2227 5 13 14 3.1348027 0.154808834 0.4538568321 0 0.869987984
## 2228 5 13 14 3.2417144 0.153849658 0.4440284531 0 0.848695196
## 2229 5 13 14 3.3271480 0.151007317 0.4511218642 0 0.833849323
## 2230 5 13 14 3.3947447 0.149105185 0.4332371396 0 0.821612418
## 2231 5 13 14 3.4784691 0.148319269 0.4369100745 0 0.800053545
## 2232 5 13 14 3.5755773 0.146830544 0.4667142042 0 0.776772065
## 2233 5 13 14 3.6345457 0.143611558 0.4395605745 0 0.777297722
## 2234 5 13 14 3.7215709 0.143145859 0.4392104578 0 0.761980764
## 2235 5 13 14 3.6832322 0.144574663 0.4513889903 0 0.757974971
## 2236 5 13 14 3.7072538 0.143016666 0.4486968642 0 0.761366185
## 2237 5 13 14 3.7072538 0.143016666 0.4486968642 0 0.761366185
## 2238 5 13 14 3.7239822 0.144335486 0.4509504394 0 0.760948224
## 2239 5 13 14 3.7265462 0.147842723 0.4339264147 0 0.733971241
## 2240 5 13 14 3.6708762 0.147537744 0.4474650713 0 0.740193738
## 2241 5 13 14 3.7889369 0.143892902 0.4646870354 0 0.724241414
## 2242 5 13 14 3.9416588 0.139072268 0.4759730566 0 0.715687974
## 2243 5 13 14 4.0825826 0.135304846 0.5065601051 0 0.693348893
## 2244 5 13 14 4.2605281 0.135247805 0.4786961017 0 0.662770575
## 2245 5 13 14 4.1691892 0.136201000 0.5233127229 0 0.654587087
## 2246 5 13 14 4.2873973 0.131334698 0.5598350333 0 0.653277635
## 2247 5 13 14 4.3706924 0.129898570 0.6033310853 0 0.642735953
## 2248 5 13 14 4.2428119 0.131274181 0.6207195997 0 0.642752360
## 2249 5 13 14 4.2635786 0.130921730 0.6131483017 0 0.641312183
## 2250 5 13 14 4.2029581 0.133926330 0.6076320925 0 0.641378638
## 2251 5 13 14 4.2465009 0.130832382 0.6370902440 0 0.641229287
## 2252 5 13 14 4.2409280 0.131117894 0.6370393905 0 0.639888096
## 2253 5 13 14 4.3451071 0.129619822 0.6055731613 0 0.636057171
## 2254 5 13 14 4.4345650 0.126282762 0.6211987170 0 0.641853388
## 2255 5 13 14 4.7350099 0.122549900 0.6235863481 0 0.588590364
## 2256 5 13 14 4.6997581 0.123068159 0.6368470358 0 0.589682270
## 2257 5 13 14 5.0406577 0.118418691 0.6151157197 0 0.547225032
## 2258 5 13 14 4.7752119 0.121157336 0.6289090909 0 0.571997603
## 2259 5 13 14 5.0012743 0.118840820 0.6304752067 0 0.546427775
## 2260 5 13 14 5.1662548 0.116549134 0.6298900800 0 0.528297084
## 2261 5 13 14 5.0973133 0.117475988 0.6342532508 0 0.536216990
## 2262 5 13 14 5.0237508 0.119053032 0.6133087653 0 0.554512361
## 2263 5 13 14 5.1186046 0.116687335 0.6189274758 0 0.562716375
## 2264 5 13 14 4.9114804 0.118273679 0.6431987633 0 0.573954806
## 2265 5 13 14 4.9512635 0.117761471 0.6353142947 0 0.567084846
## 2266 5 13 14 5.1020667 0.114421857 0.6373208560 0 0.559873508
## 2267 5 13 14 4.9403969 0.115385951 0.6750287657 0 0.564594991
## 2268 5 13 14 4.8665417 0.117173505 0.6795281049 0 0.570278669
## 2269 5 13 14 4.9862524 0.114929206 0.6709285879 0 0.556359398
## 2270 5 13 14 4.7293960 0.119706572 0.6866955851 0 0.565923506
## 2271 5 13 14 4.8391113 0.117736849 0.7006103401 0 0.554337126
## 2272 5 13 14 4.9352862 0.117424698 0.6564201272 0 0.559214224
## 2273 5 13 14 5.0077278 0.114880929 0.6282260178 0 0.567989360
## 2274 5 13 14 5.0093221 0.114902843 0.6235110033 0 0.564274926
## 2275 5 13 14 5.1404221 0.111839691 0.6484217681 0 0.558663950
## 2276 5 13 14 5.1417408 0.111553928 0.6467807186 0 0.557709040
## 2277 5 13 14 5.0160356 0.112745554 0.6797095837 0 0.563177960
## 2278 5 13 14 4.9254799 0.113988958 0.6789031660 0 0.579903163
## 2279 5 13 14 4.8254864 0.114940944 0.6927609091 0 0.584980395
## 2280 5 13 14 4.9120820 0.114410983 0.6780003059 0 0.578484202
## 2281 5 13 14 4.8001080 0.116289230 0.6738664119 0 0.582278862
## 2282 5 13 14 4.8275400 0.115389368 0.6800794823 0 0.585893142
## 2283 5 13 14 4.8388331 0.114135440 0.6895651469 0 0.584829205
## 2284 5 13 14 4.9147136 0.112218144 0.6920921972 0 0.575263503
## 2285 5 13 14 4.8279694 0.112685025 0.7052607734 0 0.580326520
## 2286 5 13 14 4.8788672 0.110495017 0.7171981256 0 0.568569682
## 2287 5 13 14 4.9091475 0.109243935 0.7204303199 0 0.569472543
## 2288 5 13 14 4.9091475 0.109243935 0.7204303199 0 0.569472543
## 2289 5 13 14 2.7679985 0.639629662 0.0004762708 0 0.801905408
## 2290 5 13 14 2.7679985 0.639629662 0.0004762708 0 0.801905408
## 2291 5 13 14 2.2002943 0.528362358 0.0004414077 0 0.778710143
## 2292 5 13 14 1.6266426 0.485774265 0.0004304807 0 0.722124662
## 2293 5 13 14 2.1845311 0.333324834 0.0004703117 0 0.719095946
## 2294 5 13 14 2.5408580 0.268616485 0.0003437206 0 0.732050233
## 2295 5 13 14 3.8413304 0.171138221 0.0004858211 0 0.765671755
## 2296 5 13 14 3.8181570 0.173896945 0.0004386502 0 0.746598929
## 2297 5 13 14 3.9438301 0.172469854 0.0004146734 0 0.727229935
## 2298 5 13 14 4.0593914 0.166993053 0.0004162782 0 0.713827108
## 2299 5 13 14 4.2697069 0.163864893 0.0003755491 0 0.695616554
## 2300 5 13 14 4.1869995 0.168163696 0.0003835844 0 0.687979447
## 2301 5 13 14 4.3440913 0.164995470 0.0003249828 0 0.676454544
## 2302 5 13 14 4.7316562 0.159857360 0.0002890736 0 0.636010914
## 2303 5 13 14 4.8061607 0.161938611 0.0002767396 0 0.632935408
## 2304 5 13 14 4.9182253 0.156637867 0.0002883269 0 0.632469749
## 2305 5 13 14 4.9980154 0.155559880 0.0002648078 0 0.620823264
## 2306 5 13 14 5.3979061 0.146529765 0.0002404547 0 0.606826470
## 2307 5 13 14 5.6009031 0.149006327 0.0002212746 0 0.575219475
## 2308 5 13 14 5.5632286 0.147804231 0.0001917580 0 0.585578698
## 2309 5 13 14 5.9812593 0.144095438 0.0001839164 0 0.557599138
## 2310 5 13 14 6.0096750 0.143772656 0.0001918383 0 0.558274753
## 2311 5 13 14 6.3574736 0.139813248 0.0001746428 0 0.538762948
## 2312 5 13 14 7.1202582 0.134026770 0.0001703996 0 0.506332665
## 2313 5 13 14 7.4787466 0.131366790 0.0001696766 0 0.491108274
## 2314 5 13 14 8.1379721 0.126826402 0.0001840253 0 0.462377892
## 2315 5 13 14 9.2898006 0.115719301 0.0002131452 0 0.442928287
## 2316 5 13 14 9.7156241 0.116666127 0.0002214086 0 0.419704128
## 2317 5 13 14 9.5983925 0.118513408 0.0002296421 0 0.420984470
## 2318 5 13 14 9.1876483 0.119985863 0.0002233392 0 0.428565797
## 2319 5 13 14 9.0778579 0.120412192 0.0002107361 0 0.435737749
## 2320 5 13 14 9.3512950 0.117022628 0.0002146508 0 0.433275589
## 2321 5 13 14 9.2569403 0.116567104 0.0002067895 0 0.436121826
## 2322 5 13 14 9.3586479 0.115719310 0.0002092279 0 0.434460894
## 2323 5 13 14 9.2542761 0.118350752 0.0002154191 0 0.428788093
## 2324 5 13 14 8.8096162 0.119181366 0.0002149580 0 0.443340726
## 2325 5 13 14 8.6290105 0.121160948 0.0002137261 0 0.446686854
## 2326 5 13 14 8.5396981 0.121465572 0.0002117388 0 0.450930305
## 2327 5 13 14 8.6155827 0.122408882 0.0002140163 0 0.445819896
## 2328 5 13 14 8.1904470 0.125475890 0.0002179666 0 0.456326831
## 2329 5 13 14 8.7146663 0.119772722 0.0002015740 0 0.445592522
## 2330 5 13 14 8.4145156 0.121917527 0.0002368742 0 0.452448248
## 2331 5 13 14 8.3270616 0.123216536 0.0002419374 0 0.455241644
## 2332 5 13 14 8.5741922 0.121410206 0.0002235503 0 0.452128586
## 2333 5 13 14 8.3966902 0.122391970 0.0002330075 0 0.454442878
## 2334 5 13 14 8.5436328 0.120935863 0.0002129276 0 0.451928922
## 2335 5 13 14 8.9705087 0.118336046 0.0001846443 0 0.437529495
## 2336 5 13 14 8.7676061 0.119469157 0.0001779648 0 0.446293141
## 2337 5 13 14 8.6003422 0.120628361 0.0001671400 0 0.449905600
## 2338 5 13 14 8.7179386 0.120078836 0.0001803419 0 0.446108610
## 2339 5 13 14 8.6676820 0.120875867 0.0001972589 0 0.444196000
## 2340 5 13 14 8.3780359 0.121065667 0.0001972383 0 0.459386492
## 2341 5 13 14 8.3780359 0.121065667 0.0001972383 0 0.459386492
## 2342 5 13 14 8.3935476 0.123527839 0.0002005327 0 0.461025215
## 2343 5 13 14 8.3192999 0.126717286 0.0001966092 0 0.453446272
## 2344 5 13 14 8.4407095 0.124261211 0.0001838716 0 0.454561246
## 2345 5 13 14 8.0925857 0.128435228 0.0001923538 0 0.458759444
## 2346 5 13 14 8.4852649 0.125900501 0.0001822212 0 0.450543203
## 2347 5 13 14 8.2291856 0.124937359 0.0001847238 0 0.464087171
## 2348 5 13 14 8.5232680 0.126083540 0.0001873711 0 0.447691116
## 2349 5 13 14 8.7410842 0.123081981 0.0001665079 0 0.445322331
## 2350 5 13 14 8.3377518 0.127379856 0.0001622907 0 0.451130407
## 2351 5 13 14 7.8949930 0.127924027 0.0001594167 0 0.470549594
## 2352 5 13 14 8.0575738 0.125918721 0.0001531504 0 0.467550801
## 2353 5 13 14 8.0344548 0.123887760 0.0001536183 0 0.470779261
## 2354 5 13 14 8.3435560 0.124664643 0.0001361529 0 0.452710549
## 2355 5 13 14 8.3192944 0.124522101 0.0001370701 0 0.456159952
## 2356 5 13 14 8.3366467 0.123670270 0.0001601596 0 0.456460470
## 2357 5 13 14 9.1448122 0.121551672 0.0001731349 0 0.426674537
## 2358 5 13 14 9.0016170 0.121768470 0.0001600087 0 0.432227757
## 2359 5 13 14 9.0223346 0.119731778 0.0001672752 0 0.437124074
## 2360 5 13 14 8.7085613 0.120037223 0.0002124490 0 0.447996970
## 2361 5 13 14 8.5532741 0.120681499 0.0002531738 0 0.459322792
## 2362 5 13 14 8.7070848 0.119978631 0.0002649007 0 0.454266664
## 2363 5 13 14 8.8264927 0.122367288 0.0002716992 0 0.441296272
## 2364 5 13 14 9.1191627 0.120097742 0.0002627549 0 0.429319681
## 2365 5 13 14 8.9722274 0.119379917 0.0002696291 0 0.440349686
## 2366 5 13 14 8.9623229 0.120011691 0.0003089186 0 0.441210667
## 2367 5 13 14 8.6237750 0.119467707 0.0003125116 0 0.459905041
## 2368 5 13 14 8.9585425 0.118035963 0.0002842545 0 0.447363626
## 2369 5 13 14 8.8367256 0.117482071 0.0002930914 0 0.453031445
## 2370 5 13 14 8.9366228 0.116085213 0.0003134630 0 0.451497596
## 2371 5 13 14 9.2959098 0.115158403 0.0003180173 0 0.439547739
## 2372 5 13 14 9.3211011 0.115524858 0.0003522832 0 0.434707562
## 2373 5 13 14 9.3251468 0.114899161 0.0003895521 0 0.433273370
## 2374 5 13 14 9.3335204 0.113483452 0.0004333197 0 0.436416807
## 2375 5 13 14 8.8406796 0.115833875 0.0004751923 0 0.446664667
## 2376 5 13 14 9.1660421 0.117485118 0.0004287583 0 0.431422983
## 2377 5 13 14 8.9781103 0.117342206 0.0004093729 0 0.439063218
## 2378 5 13 14 8.9802822 0.115231255 0.0003502624 0 0.445257917
## 2379 5 13 14 8.4766084 0.117507657 0.0003382811 0 0.458115463
## 2380 5 13 14 8.4710985 0.116263987 0.0003285198 0 0.462655123
## 2381 5 13 14 8.4536888 0.115266908 0.0003300873 0 0.466555924
## 2382 5 13 14 8.3193477 0.117207008 0.0003190197 0 0.466311203
## 2383 5 13 14 8.2425545 0.119070756 0.0003182337 0 0.464950319
## 2384 5 13 14 8.5897075 0.117646445 0.0003330802 0 0.451015503
## 2385 5 13 14 8.6027592 0.115995105 0.0003340926 0 0.452788702
## 2386 5 13 14 8.4883886 0.115844159 0.0003453024 0 0.461222220
## 2387 5 13 14 8.4015350 0.117406053 0.0003513968 0 0.457078767
## 2388 5 13 14 8.4568933 0.117282639 0.0003701450 0 0.458524402
## 2389 5 13 14 8.5597612 0.116569547 0.0003568157 0 0.455817889
## 2390 5 13 14 8.5684220 0.116047389 0.0003458781 0 0.456045495
## 2391 5 13 14 8.7428491 0.114195563 0.0003220314 0 0.454099958
## 2392 5 13 14 8.7428491 0.114195563 0.0003220314 0 0.454099958
## 2393 5 13 14 6.1275871 0.988566138 0.0886472614 0 0.211896046
## 2394 5 13 14 6.1275871 0.988566138 0.0886472614 0 0.211896046
## 2395 5 13 14 5.5440953 0.989420757 0.1079815592 0 0.183741073
## 2396 5 13 14 8.0377776 0.990638085 0.1269424340 0 0.235609983
## 2397 5 13 14 12.7727619 0.992838942 0.2012260590 0 0.277800655
## 2398 5 13 14 14.4761923 0.993431126 0.1919309129 0 0.232807495
## 2399 5 13 14 15.4915896 0.991330852 0.2003064235 0 0.217510864
## 2400 5 13 14 14.1097741 0.991398081 0.1774802705 0 0.207659448
## 2401 5 13 14 14.5515349 0.993608912 0.1914123192 0 0.213994808
## 2402 5 13 14 16.1306051 0.992790507 0.1848773471 0 0.172988140
## 2403 5 13 14 17.0045195 0.991169131 0.1768547036 0 0.169588947
## 2404 5 13 14 17.1388709 0.993891945 0.1597681818 0 0.187124086
## 2405 5 13 14 18.2022757 0.994701540 0.1284581957 0 0.185225412
## 2406 5 13 14 17.1757458 0.995031300 0.1307547076 0 0.156515632
## 2407 5 13 14 14.7511241 0.994937694 0.1621749485 0 0.182504455
## 2408 5 13 14 21.0141089 0.994465894 0.1314216621 0 0.149448871
## 2409 5 13 14 21.0263539 0.992217569 0.1399472479 0 0.129722535
## 2410 5 13 14 20.9563085 0.993962547 0.1546000716 0 0.138639300
## 2411 5 13 14 17.3203517 0.991361696 0.1881899520 0 0.152804967
## 2412 5 13 14 17.1684031 0.992275699 0.1805375670 0 0.160948967
## 2413 5 13 14 17.5233912 0.993420100 0.1676685661 0 0.146799303
## 2414 5 13 14 22.0494082 0.992716280 0.1508641399 0 0.132291391
## 2415 5 13 14 22.2756070 0.992819535 0.1446844809 0 0.126962693
## 2416 5 13 14 21.0889271 0.992786082 0.1228524945 0 0.156493618
## 2417 5 13 14 22.9812409 0.991710667 0.1143187362 0 0.171908739
## 2418 5 13 14 20.4694179 0.991745615 0.0995873361 0 0.167821142
## 2419 5 13 14 22.8479969 0.990892750 0.1033723932 0 0.165029312
## 2420 5 13 14 21.7652256 0.991254630 0.1056894051 0 0.166901790
## 2421 5 13 14 18.6436410 0.991875446 0.1001441114 0 0.157373432
## 2422 5 13 14 17.0964484 0.990627951 0.0778500873 0 0.171653491
## 2423 5 13 14 22.9700747 0.989665163 0.0739622410 0 0.172301882
## 2424 5 13 14 20.7929059 0.989145337 0.0693503027 0 0.160887639
## 2425 5 13 14 22.4764920 0.987648388 0.0908272095 0 0.166429148
## 2426 5 13 14 20.2058794 0.986954137 0.0938137258 0 0.176895376
## 2427 5 13 14 19.7071196 0.986014764 0.0954420791 0 0.194544089
## 2428 5 13 14 17.4358663 0.985449894 0.0906374159 0 0.199368979
## 2429 5 13 14 18.4274960 0.983048405 0.0942728940 0 0.182241158
## 2430 5 13 14 18.7348723 0.982451162 0.0952203932 0 0.179181191
## 2431 5 13 14 19.6922595 0.982056638 0.0870130606 0 0.163295801
## 2432 5 13 14 19.9310789 0.983469598 0.0937034923 0 0.176766158
## 2433 5 13 14 19.0521318 0.981942357 0.0774419045 0 0.185528673
## 2434 5 13 14 22.0247571 0.983273949 0.0853286546 0 0.158347238
## 2435 5 13 14 19.8174997 0.982892558 0.0968965640 0 0.172367925
## 2436 5 13 14 19.7744395 0.976040230 0.0990566409 0 0.201094054
## 2437 5 13 14 16.6948536 0.978429517 0.1034282740 0 0.201872456
## 2438 5 13 14 18.1888246 0.979213741 0.1050070091 0 0.190601937
## 2439 5 13 14 18.2362515 0.979802359 0.1061221323 0 0.183049363
## 2440 5 13 14 18.3789990 0.979036139 0.1225552245 0 0.167437708
## 2441 5 13 14 20.2536118 0.981321531 0.1116696152 0 0.170416203
## 2442 5 13 14 20.3477606 0.981931833 0.1005464744 0 0.164703974
## 2443 5 13 14 19.9930876 0.982060936 0.1028540864 0 0.172022778
## 2444 5 13 14 20.3801499 0.982141665 0.1028621674 0 0.180414145
## 2445 5 13 14 20.3801499 0.982141665 0.1028621674 0 0.180414145
## 2446 5 13 14 19.5922099 0.983775919 0.1034051560 0 0.180139292
## 2447 5 13 14 18.5398557 0.983779187 0.1090891466 0 0.169293374
## 2448 5 13 14 19.6557757 0.981772866 0.1059390663 0 0.167814624
## 2449 5 13 14 19.4189070 0.983578270 0.1027980170 0 0.175241295
## 2450 5 13 14 20.9498982 0.985009229 0.1172172346 0 0.152877000
## 2451 5 13 14 21.4850224 0.981253677 0.0684598060 0 0.178485365
## 2452 5 13 14 21.3713775 0.979547172 0.0619591011 0 0.164672571
## 2453 5 13 14 22.5669250 0.977248733 0.0569056754 0 0.169763285
## 2454 5 13 14 24.0715571 0.966963011 0.0624201406 0 0.163150095
## 2455 5 13 14 22.0442412 0.949777195 0.0613682685 0 0.163628719
## 2456 5 13 14 22.3419390 0.948659685 0.0572168467 0 0.165847385
## 2457 5 13 14 21.3383534 0.939576025 0.0714758336 0 0.157481154
## 2458 5 13 14 21.4650727 0.938740966 0.0756985086 0 0.154473827
## 2459 5 13 14 27.1536479 0.866578171 0.0525911378 0 0.161576761
## 2460 5 13 14 22.3207727 0.876173124 0.0522248188 0 0.153514260
## 2461 5 13 14 24.7527138 0.839707220 0.0544886214 0 0.149079102
## 2462 5 13 14 24.8635576 0.757188302 0.0609100802 0 0.147462612
## 2463 5 13 14 31.8200594 0.713280940 0.0711957888 0 0.145957666
## 2464 5 13 14 27.5326331 0.664592207 0.0843224055 0 0.127814875
## 2465 5 13 14 29.8364585 0.616855121 0.0825116829 0 0.124100683
## 2466 5 13 14 29.8567666 0.589766353 0.1012398077 0 0.140956521
## 2467 5 13 14 29.2240305 0.589293169 0.0977223026 0 0.125840363
## 2468 5 13 14 36.2534077 0.541025369 0.0995645944 0 0.115835555
## 2469 5 13 14 37.6799728 0.501993556 0.1083300721 0 0.110958850
## 2470 5 13 14 37.6148045 0.467131339 0.1118596662 0 0.118630360
## 2471 5 13 14 33.0924775 0.404912248 0.1241565004 0 0.123845524
## 2472 5 13 14 46.7167221 0.362945015 0.1009452821 0 0.095208459
## 2473 5 13 14 55.0993421 0.333236319 0.0796738916 0 0.092552623
## 2474 5 13 14 56.7759044 0.319413483 0.0728116264 0 0.083214923
## 2475 5 13 14 60.7858276 0.276364884 0.0760521251 0 0.090790729
## 2476 5 13 14 60.6871348 0.239565026 0.0833137097 0 0.088321294
## 2477 5 13 14 65.4775898 0.219606872 0.0847129997 0 0.087018432
## 2478 5 13 14 73.7975740 0.199360301 0.0724511986 0 0.080888791
## 2479 5 13 14 82.8341764 0.148753375 0.0742468548 0 0.080783047
## 2480 5 13 14 85.4602559 0.134537081 0.0714233330 0 0.075813846
## 2481 5 13 14 90.0183465 0.129238211 0.0702474945 0 0.072782214
## 2482 5 13 14 88.6957554 0.121487546 0.0712982925 0 0.070633455
## 2483 5 13 14 92.0261706 0.120285228 0.0716233298 0 0.070239656
## 2484 5 13 14 94.5946921 0.112811344 0.0673895090 0 0.069302546
## 2485 5 13 14 97.1905615 0.110623822 0.0651617720 0 0.068149991
## 2486 5 13 14 100.4033796 0.109136069 0.0646675749 0 0.069114191
## 2487 5 13 14 100.3336915 0.110272796 0.0638817347 0 0.067285807
## 2488 5 13 14 100.3314079 0.108745385 0.0658138855 0 0.066285261
## 2489 5 13 14 102.4215176 0.108966508 0.0632176610 0 0.066488929
## 2490 5 13 14 99.0755348 0.107700781 0.0654427905 0 0.065379024
## 2491 5 13 14 101.6378326 0.104288403 0.0640996199 0 0.066267763
## 2492 5 13 14 103.3729846 0.106754942 0.0668169388 0 0.064132428
## 2493 5 13 14 102.2030209 0.107021024 0.0661485339 0 0.064926033
## 2494 5 13 14 102.7690979 0.106174724 0.0676445341 0 0.064460799
## 2495 5 13 14 101.1858796 0.108558710 0.0689362423 0 0.064486230
## 2496 5 13 14 101.1858796 0.108558710 0.0689362423 0 0.064486230
## 2497 5 13 14 2.6856283 0.274531175 0.4398380981 0 0.431277601
## 2498 5 13 14 2.6856283 0.274531175 0.4398380981 0 0.431277601
## 2499 5 13 14 3.7864631 0.289647866 0.4399652230 0 0.484767410
## 2500 5 13 14 3.5725839 0.215748174 0.3832350683 0 0.492974050
## 2501 5 13 14 5.3109594 0.168708831 0.4004569092 0 0.378323282
## 2502 5 13 14 6.3991046 0.137113926 0.4246319876 0 0.380774737
## 2503 5 13 14 6.2044496 0.133936504 0.4484537363 0 0.390564945
## 2504 5 13 14 6.4621809 0.128600344 0.4538893563 0 0.389335991
## 2505 5 13 14 6.8258357 0.125234175 0.4466182879 0 0.374332744
## 2506 5 13 14 7.1610614 0.120616784 0.4687137029 0 0.348362010
## 2507 5 13 14 7.2369361 0.122765722 0.4824815636 0 0.321594717
## 2508 5 13 14 7.1836619 0.122345854 0.4918134209 0 0.322542259
## 2509 5 13 14 7.1160598 0.119343083 0.4727774102 0 0.349316060
## 2510 5 13 14 7.5649941 0.116624453 0.4479037621 0 0.336536520
## 2511 5 13 14 7.0856963 0.120279309 0.4743253735 0 0.341953612
## 2512 5 13 14 6.9461484 0.117471967 0.5052734680 0 0.351007017
## 2513 5 13 14 7.2907575 0.114228983 0.5025624784 0 0.341588054
## 2514 5 13 14 6.8705956 0.119471303 0.4686950965 0 0.365817763
## 2515 5 13 14 6.4656443 0.122449496 0.4751992587 0 0.377536265
## 2516 5 13 14 6.1137557 0.122092264 0.5333669111 0 0.385290797
## 2517 5 13 14 6.1750811 0.121344517 0.5438868024 0 0.365241201
## 2518 5 13 14 6.2492188 0.119082724 0.5653062797 0 0.362819194
## 2519 5 13 14 6.2127016 0.118278811 0.5740471577 0 0.364440077
## 2520 5 13 14 6.1656848 0.117102321 0.5777748358 0 0.363185877
## 2521 5 13 14 6.1977870 0.117386068 0.5675623553 0 0.363935027
## 2522 5 13 14 6.2674805 0.116371779 0.5802646068 0 0.349299100
## 2523 5 13 14 6.3560765 0.113643632 0.5790882742 0 0.354720604
## 2524 5 13 14 6.4313445 0.114712807 0.5482828285 0 0.356616499
## 2525 5 13 14 6.5133276 0.114061760 0.5397479758 0 0.363118759
## 2526 5 13 14 6.4071823 0.115620289 0.5169410476 0 0.372293578
## 2527 5 13 14 6.6324671 0.116418739 0.4764714992 0 0.371433754
## 2528 5 13 14 6.3162518 0.118081112 0.4998847044 0 0.381225726
## 2529 5 13 14 6.2476465 0.117336380 0.5125419401 0 0.388745464
## 2530 5 13 14 6.3270630 0.115917205 0.5253723043 0 0.370129932
## 2531 5 13 14 5.9648757 0.118125652 0.5609556219 0 0.383036556
## 2532 5 13 14 5.7600793 0.120071946 0.5773705947 0 0.380871580
## 2533 5 13 14 5.7024604 0.119904777 0.5645600683 0 0.399621238
## 2534 5 13 14 5.7299878 0.121421547 0.5551490256 0 0.395445695
## 2535 5 13 14 5.7591624 0.119204743 0.5612437999 0 0.401858713
## 2536 5 13 14 5.7410294 0.117996077 0.5712451314 0 0.407512066
## 2537 5 13 14 5.8439382 0.116317134 0.5741962835 0 0.403526801
## 2538 5 13 14 5.9063376 0.115914924 0.5840661229 0 0.390524705
## 2539 5 13 14 5.9530608 0.115306793 0.6111246676 0 0.379212797
## 2540 5 13 14 5.7780635 0.115582200 0.6204612233 0 0.389895863
## 2541 5 13 14 5.6376772 0.116312636 0.6556471663 0 0.390345713
## 2542 5 13 14 5.6192041 0.115256484 0.6710833012 0 0.393203367
## 2543 5 13 14 5.6166812 0.115358590 0.6732214804 0 0.392096603
## 2544 5 13 14 5.5577044 0.117511265 0.6442936390 0 0.402300474
## 2545 5 13 14 5.6242216 0.115054747 0.6550774534 0 0.397861931
## 2546 5 13 14 5.7243981 0.112725196 0.6607752686 0 0.395268139
## 2547 5 13 14 5.6527807 0.112332866 0.6823150238 0 0.392589711
## 2548 5 13 14 5.6201933 0.113963347 0.6746200302 0 0.395426511
## 2549 5 13 14 5.6201933 0.113963347 0.6746200302 0 0.395426511
## 2550 5 13 14 5.6152308 0.116164961 0.6717763241 0 0.392065668
## 2551 5 13 14 5.4384983 0.122633263 0.6634461434 0 0.393202088
## 2552 5 13 14 5.5258286 0.119511120 0.6551689229 0 0.405829197
## 2553 5 13 14 5.3069094 0.124753147 0.6642093544 0 0.400501844
## 2554 5 13 14 5.4555392 0.118945152 0.6842995954 0 0.397208634
## 2555 5 13 14 5.4793868 0.121154732 0.6655513955 0 0.390814266
## 2556 5 13 14 5.4383657 0.118178226 0.7024562575 0 0.395044662
## 2557 5 13 14 5.3509730 0.118483011 0.6955472832 0 0.409523760
## 2558 5 13 14 5.0896894 0.122447215 0.7152449724 0 0.406734406
## 2559 5 13 14 5.1595698 0.119256426 0.7272065873 0 0.424231656
## 2560 5 13 14 5.3672036 0.118276267 0.6927540274 0 0.405603512
## 2561 5 13 14 5.5922920 0.117720955 0.6551019055 0 0.403560445
## 2562 5 13 14 5.5813916 0.116626265 0.6802343456 0 0.391717231
## 2563 5 13 14 5.2921731 0.120219937 0.6853019721 0 0.394695706
## 2564 5 13 14 5.4044530 0.117310145 0.6985699887 0 0.395177924
## 2565 5 13 14 5.4087994 0.117121840 0.6970137245 0 0.399179798
## 2566 5 13 14 5.3629511 0.118861531 0.6584327933 0 0.415716097
## 2567 5 13 14 5.3075831 0.119632322 0.6599758733 0 0.419307652
## 2568 5 13 14 5.1941882 0.119911145 0.6799749744 0 0.435768243
## 2569 5 13 14 5.0330199 0.121406945 0.6735196828 0 0.443267666
## 2570 5 13 14 4.9491627 0.121546168 0.7066067663 0 0.453729444
## 2571 5 13 14 4.9145979 0.120694571 0.7212310773 0 0.459718194
## 2572 5 13 14 5.0592408 0.120037028 0.7257259721 0 0.432252709
## 2573 5 13 14 5.1191276 0.116782340 0.7402154293 0 0.435421396
## 2574 5 13 14 5.1552670 0.114646687 0.7503520337 0 0.432655976
## 2575 5 13 14 5.2607156 0.113489420 0.7369437096 0 0.431262673
## 2576 5 13 14 5.2165845 0.114457348 0.7427854990 0 0.434885698
## 2577 5 13 14 5.2566393 0.113906136 0.7312641264 0 0.430887506
## 2578 5 13 14 5.4698701 0.112204862 0.6963561746 0 0.431908664
## 2579 5 13 14 5.6380257 0.111823547 0.6660031189 0 0.418536139
## 2580 5 13 14 5.6611833 0.110777144 0.6632956334 0 0.428540179
## 2581 5 13 14 5.5544141 0.114035921 0.6346838016 0 0.435273468
## 2582 5 13 14 5.7219339 0.110270281 0.6426732002 0 0.434380297
## 2583 5 13 14 5.5519042 0.112479556 0.6464294271 0 0.440297773
## 2584 5 13 14 5.7931550 0.111289758 0.6014757164 0 0.434988851
## 2585 5 13 14 5.7426123 0.112056689 0.5750143748 0 0.451174208
## 2586 5 13 14 5.4792371 0.115068529 0.5965374048 0 0.460012634
## 2587 5 13 14 5.4997443 0.114051552 0.6042029748 0 0.466342563
## 2588 5 13 14 5.5844433 0.114429325 0.5724757830 0 0.474978845
## 2589 5 13 14 5.6357562 0.114533851 0.5330115167 0 0.478395733
## 2590 5 13 14 5.6011975 0.114145493 0.5477944139 0 0.478763570
## 2591 5 13 14 5.6692506 0.112382105 0.5348258261 0 0.481534058
## 2592 5 13 14 5.6619856 0.112988784 0.5231803813 0 0.487611109
## 2593 5 13 14 5.5741203 0.113930715 0.5354521029 0 0.488807179
## 2594 5 13 14 5.6210086 0.113860139 0.5145608210 0 0.490786509
## 2595 5 13 14 5.5708276 0.114221403 0.5304115922 0 0.487634040
## 2596 5 13 14 5.4969597 0.116024344 0.5213231773 0 0.496782676
## 2597 5 13 14 5.4675321 0.115362908 0.5459898495 0 0.494978349
## 2598 5 13 14 5.5128914 0.113974617 0.5533447971 0 0.490295082
## 2599 5 13 14 5.6928898 0.112408408 0.5540784355 0 0.482210385
## 2600 5 13 14 5.6928898 0.112408408 0.5540784355 0 0.482210385
## 2601 5 13 14 6.5748027 0.042436293 0.7636700166 0 0.522525984
## 2602 5 13 14 6.5748027 0.042436293 0.7636700166 0 0.522525984
## 2603 5 13 14 10.6533112 0.060052275 0.7843924758 0 0.546320376
## 2604 5 13 14 7.1408447 0.083453889 0.7942824059 0 0.552221144
## 2605 5 13 14 5.9525545 0.104296050 0.7831057055 0 0.492041533
## 2606 5 13 14 5.8009338 0.108373607 0.7953983436 0 0.476731870
## 2607 5 13 14 5.9321378 0.107679124 0.7873990076 0 0.466655009
## 2608 5 13 14 5.4716102 0.113954345 0.8073701269 0 0.483456213
## 2609 5 13 14 5.4390503 0.115685180 0.8275982985 0 0.481257585
## 2610 5 13 14 5.1664230 0.116174446 0.8383717361 0 0.511601090
## 2611 5 13 14 4.9461044 0.118294948 0.8498505489 0 0.560927190
## 2612 5 13 14 4.7484327 0.119038450 0.8512998593 0 0.583394571
## 2613 5 13 14 4.7978789 0.117845752 0.8483074586 0 0.576053559
## 2614 5 13 14 4.5313795 0.121630988 0.8679621001 0 0.580318541
## 2615 5 13 14 4.8036474 0.115163635 0.8606988822 0 0.579698924
## 2616 5 13 14 4.7010042 0.119225919 0.8541781099 0 0.570540550
## 2617 5 13 14 4.8398319 0.115594094 0.8390692490 0 0.572494776
## 2618 5 13 14 4.8264669 0.116988170 0.8117917994 0 0.558386587
## 2619 5 13 14 4.8365410 0.117389983 0.7833339059 0 0.532675469
## 2620 5 13 14 4.8116409 0.117167376 0.7836021327 0 0.534765229
## 2621 5 13 14 5.0041720 0.113671421 0.7776160150 0 0.522463446
## 2622 5 13 14 5.0953241 0.110688356 0.7884430419 0 0.517850062
## 2623 5 13 14 4.9588688 0.113528541 0.7853041376 0 0.515877088
## 2624 5 13 14 5.0110385 0.112082198 0.7907872925 0 0.522303350
## 2625 5 13 14 5.0853738 0.111049893 0.7925663111 0 0.506257593
## 2626 5 13 14 5.0346170 0.111655502 0.7834264469 0 0.507970934
## 2627 5 13 14 4.9568888 0.114275772 0.7883233621 0 0.519746523
## 2628 5 13 14 4.9717015 0.112473342 0.8017152593 0 0.505568655
## 2629 5 13 14 4.9016263 0.113905178 0.8031434076 0 0.506656617
## 2630 5 13 14 4.6838187 0.116867336 0.8105637102 0 0.529856815
## 2631 5 13 14 4.5774756 0.117431652 0.8158271678 0 0.542989455
## 2632 5 13 14 4.5666729 0.117623108 0.8226432588 0 0.544368241
## 2633 5 13 14 4.6389366 0.115331661 0.8339176726 0 0.539190458
## 2634 5 13 14 4.6682967 0.115335487 0.8387652537 0 0.524503204
## 2635 5 13 14 4.7084633 0.113703449 0.8430218342 0 0.533185603
## 2636 5 13 14 4.5731897 0.116622785 0.8490428500 0 0.554307227
## 2637 5 13 14 4.5187502 0.117804551 0.8513077355 0 0.567713819
## 2638 5 13 14 4.5267704 0.117224024 0.8516413394 0 0.566146787
## 2639 5 13 14 4.6890804 0.113570495 0.8545410218 0 0.559655627
## 2640 5 13 14 4.5704351 0.115721826 0.8567051365 0 0.560669993
## 2641 5 13 14 4.5785885 0.116388874 0.8577610812 0 0.556841773
## 2642 5 13 14 4.6025007 0.115088695 0.8541341502 0 0.563095207
## 2643 5 13 14 4.5908626 0.114558094 0.8497660060 0 0.564909267
## 2644 5 13 14 4.6777193 0.112295505 0.8475675574 0 0.564873687
## 2645 5 13 14 4.6232052 0.115155894 0.8369642214 0 0.562935534
## 2646 5 13 14 4.6768546 0.112881542 0.8420619173 0 0.570686116
## 2647 5 13 14 4.7275367 0.111941258 0.8342341075 0 0.572936986
## 2648 5 13 14 4.7403843 0.112543744 0.8322516145 0 0.560067476
## 2649 5 13 14 4.8068551 0.111264109 0.8285650428 0 0.557645241
## 2650 5 13 14 4.8064778 0.110918417 0.8318414953 0 0.561007638
## 2651 5 13 14 4.8838828 0.109291365 0.8310262521 0 0.551710127
## 2652 5 13 14 4.9136409 0.109909691 0.8233801412 0 0.550905468
## 2653 5 13 14 4.9136409 0.109909691 0.8233801412 0 0.550905468
## 2654 5 13 14 4.9022269 0.112689608 0.8240644158 0 0.545850380
## 2655 5 13 14 4.7456044 0.117034169 0.8294832798 0 0.525177954
## 2656 5 13 14 4.8902276 0.113971320 0.8343138161 0 0.522088055
## 2657 5 13 14 4.8830397 0.114439425 0.8308747361 0 0.533205600
## 2658 5 13 14 4.7337416 0.116158961 0.8344630580 0 0.533541914
## 2659 5 13 14 4.9495733 0.112620442 0.8244626430 0 0.536281681
## 2660 5 13 14 4.9313074 0.112512853 0.8286509469 0 0.543745251
## 2661 5 13 14 4.9674928 0.112657266 0.8252275297 0 0.519554481
## 2662 5 13 14 4.9971336 0.111163476 0.8433339857 0 0.517812916
## 2663 5 13 14 4.7649414 0.114116818 0.8307153549 0 0.547446771
## 2664 5 13 14 4.8333659 0.111948544 0.8416429230 0 0.556087989
## 2665 5 13 14 4.6955199 0.113986264 0.8713601854 0 0.565993112
## 2666 5 13 14 4.6891924 0.114155553 0.8956578765 0 0.543310309
## 2667 5 13 14 4.6844168 0.112277795 0.8963771314 0 0.552326069
## 2668 5 13 14 4.6804069 0.112185567 0.8845314111 0 0.561445424
## 2669 5 13 14 4.7317272 0.111255298 0.8890844428 0 0.560502009
## 2670 5 13 14 4.6020208 0.113134154 0.8870617652 0 0.554201165
## 2671 5 13 14 4.6473157 0.112378247 0.8839115236 0 0.582761016
## 2672 5 13 14 4.5689022 0.113616905 0.8897582179 0 0.592055543
## 2673 5 13 14 4.4918429 0.114896319 0.8866248272 0 0.592314470
## 2674 5 13 14 4.5414096 0.113748207 0.8830294818 0 0.595708821
## 2675 5 13 14 4.5237060 0.113774692 0.8795957214 0 0.583326138
## 2676 5 13 14 4.4664001 0.115806309 0.8619255808 0 0.590663762
## 2677 5 13 14 4.3536010 0.117396021 0.8935161318 0 0.592924342
## 2678 5 13 14 4.3700228 0.116370415 0.8959196482 0 0.577999568
## 2679 5 13 14 4.5084755 0.112696507 0.8908865919 0 0.572146962
## 2680 5 13 14 4.6078335 0.112145344 0.8709103387 0 0.574702465
## 2681 5 13 14 4.6043074 0.112424628 0.8827184256 0 0.569769359
## 2682 5 13 14 4.4797140 0.114047509 0.9019465303 0 0.571899021
## 2683 5 13 14 4.4918785 0.114982840 0.9052239603 0 0.559062079
## 2684 5 13 14 4.3348865 0.117029899 0.9175357478 0 0.573450384
## 2685 5 13 14 4.3210268 0.117268536 0.9243805317 0 0.579971214
## 2686 5 13 14 4.2210765 0.119869236 0.9387348415 0 0.570838283
## 2687 5 13 14 4.2356116 0.118700381 0.9489462770 0 0.575042647
## 2688 5 13 14 4.2260524 0.119160913 0.9459916569 0 0.568832357
## 2689 5 13 14 4.2141329 0.119521418 0.9462000491 0 0.565625547
## 2690 5 13 14 4.2636529 0.118709284 0.9497415818 0 0.572363000
## 2691 5 13 14 4.2546976 0.118942748 0.9537670093 0 0.560606954
## 2692 5 13 14 4.2466280 0.118292832 0.9578229438 0 0.561289793
## 2693 5 13 14 4.2853590 0.116943960 0.9573347817 0 0.563331506
## 2694 5 13 14 4.3146751 0.117144690 0.9568293227 0 0.549610067
## 2695 5 13 14 4.4599784 0.113832410 0.9545060786 0 0.525953109
## 2696 5 13 14 4.4514353 0.113608609 0.9566290270 0 0.539043348
## 2697 5 13 14 4.3916022 0.114518070 0.9572988337 0 0.544216312
## 2698 5 13 14 4.5803907 0.110374190 0.9567791205 0 0.504204026
## 2699 5 13 14 4.5394653 0.111726063 0.9564668320 0 0.501349799
## 2700 5 13 14 4.5269905 0.112162482 0.9496593086 0 0.507078146
## 2701 5 13 14 4.6031779 0.110342214 0.9482758762 0 0.505495275
## 2702 5 13 14 4.6636276 0.108814191 0.9459488900 0 0.496080170
## p_H_cond_S phi_E phi_U phi_S h_V gamma N_0 E_0
## 1 0.26280080 1.09 1.09 0.2 0.125 0.46604179 8e+06 9589.92103
## 2 0.26280080 1.09 1.09 0.2 0.125 0.46604179 8e+06 9589.92103
## 3 0.24075640 1.09 1.09 0.2 0.125 0.51275005 8e+06 9312.53704
## 4 0.20204433 1.09 1.09 0.2 0.125 0.60987831 8e+06 9237.45454
## 5 0.21197922 1.09 1.09 0.2 0.125 0.79069847 8e+06 9365.03586
## 6 0.14205369 1.09 1.09 0.2 0.125 0.76400088 8e+06 9280.38888
## 7 0.11178064 1.09 1.09 0.2 0.125 0.93414887 8e+06 9308.14029
## 8 0.10682321 1.09 1.09 0.2 0.125 1.02242149 8e+06 9244.49050
## 9 0.10375710 1.09 1.09 0.2 0.125 1.25493728 8e+06 9146.67695
## 10 0.10476394 1.09 1.09 0.2 0.125 1.42454163 8e+06 9119.72308
## 11 0.10912952 1.09 1.09 0.2 0.125 1.43660554 8e+06 9116.73137
## 12 0.11691566 1.09 1.09 0.2 0.125 1.43812264 8e+06 9162.47435
## 13 0.12399879 1.09 1.09 0.2 0.125 1.48561959 8e+06 9002.39909
## 14 0.12122934 1.09 1.09 0.2 0.125 1.56309696 8e+06 9092.86746
## 15 0.11951754 1.09 1.09 0.2 0.125 1.68742536 8e+06 9167.95333
## 16 0.12349693 1.09 1.09 0.2 0.125 1.76387276 8e+06 9208.28827
## 17 0.12833509 1.09 1.09 0.2 0.125 1.90823390 8e+06 9316.61718
## 18 0.12732072 1.09 1.09 0.2 0.125 2.07267085 8e+06 9478.02810
## 19 0.12514631 1.09 1.09 0.2 0.125 2.10659323 8e+06 9611.51408
## 20 0.13074578 1.09 1.09 0.2 0.125 2.12299672 8e+06 9763.06382
## 21 0.13550434 1.09 1.09 0.2 0.125 2.32089629 8e+06 9829.33787
## 22 0.13372132 1.09 1.09 0.2 0.125 2.66751449 8e+06 9876.50655
## 23 0.13478145 1.09 1.09 0.2 0.125 2.74830207 8e+06 9953.71893
## 24 0.13349947 1.09 1.09 0.2 0.125 3.04284334 8e+06 10067.94789
## 25 0.13331760 1.09 1.09 0.2 0.125 2.96370540 8e+06 10074.02913
## 26 0.13620174 1.09 1.09 0.2 0.125 3.38856773 8e+06 10163.34249
## 27 0.13434911 1.09 1.09 0.2 0.125 3.86691548 8e+06 10098.45798
## 28 0.13855382 1.09 1.09 0.2 0.125 4.00020586 8e+06 10054.74116
## 29 0.13670052 1.09 1.09 0.2 0.125 4.27105395 8e+06 10127.24927
## 30 0.13450873 1.09 1.09 0.2 0.125 3.86241713 8e+06 10058.40050
## 31 0.13506197 1.09 1.09 0.2 0.125 3.65600458 8e+06 10143.72799
## 32 0.13182040 1.09 1.09 0.2 0.125 3.79560572 8e+06 10185.66642
## 33 0.13578774 1.09 1.09 0.2 0.125 3.82746513 8e+06 10283.15181
## 34 0.13785511 1.09 1.09 0.2 0.125 3.58171163 8e+06 10370.01750
## 35 0.14030177 1.09 1.09 0.2 0.125 3.55948190 8e+06 10304.09965
## 36 0.13728556 1.09 1.09 0.2 0.125 3.80913380 8e+06 10212.91759
## 37 0.13997954 1.09 1.09 0.2 0.125 3.75102379 8e+06 10143.10455
## 38 0.14299989 1.09 1.09 0.2 0.125 3.34294299 8e+06 10361.79787
## 39 0.14301317 1.09 1.09 0.2 0.125 3.83506951 8e+06 10329.97815
## 40 0.14338585 1.09 1.09 0.2 0.125 4.12527054 8e+06 10293.80221
## 41 0.14124036 1.09 1.09 0.2 0.125 3.89460454 8e+06 10343.25881
## 42 0.14076151 1.09 1.09 0.2 0.125 4.16833043 8e+06 10342.47826
## 43 0.14373905 1.09 1.09 0.2 0.125 4.59149239 8e+06 10347.26750
## 44 0.14368530 1.09 1.09 0.2 0.125 4.41831929 8e+06 10491.97662
## 45 0.14318946 1.09 1.09 0.2 0.125 3.84005958 8e+06 10599.34200
## 46 0.14377133 1.09 1.09 0.2 0.125 3.54822013 8e+06 10763.93372
## 47 0.14483653 1.09 1.09 0.2 0.125 3.57447457 8e+06 10758.10839
## 48 0.14468032 1.09 1.09 0.2 0.125 3.36973921 8e+06 10803.10862
## 49 0.14624176 1.09 1.09 0.2 0.125 2.97646934 8e+06 10827.37012
## 50 0.14528521 1.09 1.09 0.2 0.125 2.85981105 8e+06 10930.88935
## 51 0.14892767 1.09 1.09 0.2 0.125 3.18941139 8e+06 10916.25419
## 52 0.14917259 1.09 1.09 0.2 0.125 3.58404451 8e+06 10929.57880
## 53 0.14917259 1.09 1.09 0.2 0.125 3.58404451 8e+06 10929.57880
## 54 0.15269199 1.09 1.09 0.2 0.125 3.57935416 8e+06 10913.36228
## 55 0.15608934 1.09 1.09 0.2 0.125 3.62468725 8e+06 10939.40498
## 56 0.15809029 1.09 1.09 0.2 0.125 3.67208435 8e+06 10932.80499
## 57 0.16351426 1.09 1.09 0.2 0.125 3.46736385 8e+06 10914.33888
## 58 0.15599705 1.09 1.09 0.2 0.125 3.67527109 8e+06 11070.97251
## 59 0.15514681 1.09 1.09 0.2 0.125 4.22965471 8e+06 11264.91900
## 60 0.16220886 1.09 1.09 0.2 0.125 4.24823189 8e+06 11310.58267
## 61 0.16026263 1.09 1.09 0.2 0.125 4.06535314 8e+06 11410.07360
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## 280 0.55617594 1.09 1.09 0.2 0.125 2.83784212 8e+06 8573.01609
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## 284 0.58658789 1.09 1.09 0.2 0.125 2.01501465 8e+06 9307.69222
## 285 0.58225993 1.09 1.09 0.2 0.125 1.79218890 8e+06 9565.56506
## 286 0.58121525 1.09 1.09 0.2 0.125 1.54906242 8e+06 9736.43922
## 287 0.57853179 1.09 1.09 0.2 0.125 1.38306871 8e+06 9878.05969
## 288 0.58277431 1.09 1.09 0.2 0.125 1.35416046 8e+06 10014.65116
## 289 0.58475732 1.09 1.09 0.2 0.125 1.33120532 8e+06 10152.21424
## 290 0.58001037 1.09 1.09 0.2 0.125 1.25944086 8e+06 10239.44144
## 291 0.56498511 1.09 1.09 0.2 0.125 1.33083592 8e+06 10188.87982
## 292 0.56052519 1.09 1.09 0.2 0.125 1.25083710 8e+06 10213.01768
## 293 0.57206833 1.09 1.09 0.2 0.125 1.24349868 8e+06 10453.08875
## 294 0.58550353 1.09 1.09 0.2 0.125 1.22368521 8e+06 10586.15042
## 295 0.57991779 1.09 1.09 0.2 0.125 0.97676651 8e+06 10642.37423
## 296 0.58833939 1.09 1.09 0.2 0.125 1.21312170 8e+06 10960.21534
## 297 0.57155772 1.09 1.09 0.2 0.125 1.29947281 8e+06 11050.32069
## 298 0.57901737 1.09 1.09 0.2 0.125 1.31642933 8e+06 11053.91313
## 299 0.58539454 1.09 1.09 0.2 0.125 1.14415230 8e+06 11098.35274
## 300 0.60124582 1.09 1.09 0.2 0.125 1.06884139 8e+06 11090.01005
## 301 0.60562374 1.09 1.09 0.2 0.125 1.06298353 8e+06 11042.51259
## 302 0.59889024 1.09 1.09 0.2 0.125 0.99423361 8e+06 11068.39779
## 303 0.59723046 1.09 1.09 0.2 0.125 1.06687147 8e+06 11093.83253
## 304 0.58832512 1.09 1.09 0.2 0.125 1.00485957 8e+06 11253.02454
## 305 0.58628287 1.09 1.09 0.2 0.125 0.95767567 8e+06 11298.16474
## 306 0.58444148 1.09 1.09 0.2 0.125 1.08028842 8e+06 11304.40536
## 307 0.59793761 1.09 1.09 0.2 0.125 0.93505333 8e+06 11372.45316
## 308 0.58311653 1.09 1.09 0.2 0.125 0.86165829 8e+06 11415.44774
## 309 0.56314084 1.09 1.09 0.2 0.125 0.92143302 8e+06 11434.61965
## 310 0.56906581 1.09 1.09 0.2 0.125 0.98820205 8e+06 11489.77862
## 311 0.57198910 1.09 1.09 0.2 0.125 1.07195336 8e+06 11572.68846
## 312 0.57198910 1.09 1.09 0.2 0.125 1.07195336 8e+06 11572.68846
## 313 0.30163801 1.09 1.09 0.2 0.125 0.68106813 8e+06 7793.18523
## 314 0.30163801 1.09 1.09 0.2 0.125 0.68106813 8e+06 7793.18523
## 315 0.32051726 1.09 1.09 0.2 0.125 0.83230707 8e+06 7605.63852
## 316 0.30921933 1.09 1.09 0.2 0.125 0.69119147 8e+06 7673.59421
## 317 0.27388292 1.09 1.09 0.2 0.125 0.71249900 8e+06 7600.71393
## 318 0.26317412 1.09 1.09 0.2 0.125 0.70923196 8e+06 7449.01782
## 319 0.23591494 1.09 1.09 0.2 0.125 0.68222322 8e+06 7504.51626
## 320 0.28110716 1.09 1.09 0.2 0.125 0.61587967 8e+06 7580.57895
## 321 0.28574388 1.09 1.09 0.2 0.125 0.78833647 8e+06 7750.01109
## 322 0.26782294 1.09 1.09 0.2 0.125 1.06351385 8e+06 7658.41796
## 323 0.23251358 1.09 1.09 0.2 0.125 1.17098259 8e+06 7936.36515
## 324 0.22949678 1.09 1.09 0.2 0.125 1.17327922 8e+06 7701.54892
## 325 0.20913317 1.09 1.09 0.2 0.125 1.16216351 8e+06 7439.75289
## 326 0.22343129 1.09 1.09 0.2 0.125 0.70758524 8e+06 7469.39814
## 327 0.20877980 1.09 1.09 0.2 0.125 0.69950832 8e+06 7475.57536
## 328 0.18838440 1.09 1.09 0.2 0.125 0.73129313 8e+06 7416.11708
## 329 0.12666102 1.09 1.09 0.2 0.125 0.94081967 8e+06 7184.30839
## 330 0.10892395 1.09 1.09 0.2 0.125 0.97739660 8e+06 7207.36387
## 331 0.09862658 1.09 1.09 0.2 0.125 1.03114171 8e+06 7224.99856
## 332 0.09406750 1.09 1.09 0.2 0.125 1.18972269 8e+06 7191.43454
## 333 0.09220304 1.09 1.09 0.2 0.125 1.34777408 8e+06 7155.90765
## 334 0.09300903 1.09 1.09 0.2 0.125 1.49142627 8e+06 7132.99464
## 335 0.09412555 1.09 1.09 0.2 0.125 1.71343249 8e+06 7078.84497
## 336 0.09238321 1.09 1.09 0.2 0.125 1.81901823 8e+06 7136.31507
## 337 0.09169324 1.09 1.09 0.2 0.125 1.95302279 8e+06 7126.53151
## 338 0.09283850 1.09 1.09 0.2 0.125 2.04427160 8e+06 7076.55863
## 339 0.09749080 1.09 1.09 0.2 0.125 2.04218283 8e+06 7166.89188
## 340 0.09509521 1.09 1.09 0.2 0.125 2.25722467 8e+06 7199.42951
## 341 0.09859779 1.09 1.09 0.2 0.125 2.42732981 8e+06 7158.61910
## 342 0.09916872 1.09 1.09 0.2 0.125 2.57716135 8e+06 7147.68286
## 343 0.09697228 1.09 1.09 0.2 0.125 2.39320557 8e+06 7256.18791
## 344 0.10230276 1.09 1.09 0.2 0.125 2.62623617 8e+06 7137.81522
## 345 0.10320388 1.09 1.09 0.2 0.125 2.85099354 8e+06 7075.13577
## 346 0.10454611 1.09 1.09 0.2 0.125 3.03008477 8e+06 7073.59652
## 347 0.10309302 1.09 1.09 0.2 0.125 3.20097904 8e+06 7076.67040
## 348 0.10618043 1.09 1.09 0.2 0.125 3.09820411 8e+06 7153.99500
## 349 0.10587769 1.09 1.09 0.2 0.125 3.19198489 8e+06 7127.05865
## 350 0.10487181 1.09 1.09 0.2 0.125 3.57611421 8e+06 7130.70241
## 351 0.10640585 1.09 1.09 0.2 0.125 3.56281318 8e+06 7166.98841
## 352 0.10603463 1.09 1.09 0.2 0.125 3.54468868 8e+06 7183.35337
## 353 0.10521320 1.09 1.09 0.2 0.125 3.37499266 8e+06 7222.90480
## 354 0.10648481 1.09 1.09 0.2 0.125 3.29560974 8e+06 7254.43815
## 355 0.10803116 1.09 1.09 0.2 0.125 3.55095637 8e+06 7230.79888
## 356 0.11009829 1.09 1.09 0.2 0.125 3.53906540 8e+06 7210.89957
## 357 0.10937289 1.09 1.09 0.2 0.125 3.78181400 8e+06 7146.71123
## 358 0.10932549 1.09 1.09 0.2 0.125 3.74633758 8e+06 7002.84274
## 359 0.10957168 1.09 1.09 0.2 0.125 3.79311049 8e+06 6981.11613
## 360 0.11426442 1.09 1.09 0.2 0.125 4.18555725 8e+06 7015.18285
## 361 0.11494302 1.09 1.09 0.2 0.125 4.36153862 8e+06 7043.26414
## 362 0.11375834 1.09 1.09 0.2 0.125 4.35626764 8e+06 7062.43184
## 363 0.11304488 1.09 1.09 0.2 0.125 5.10936893 8e+06 7194.42327
## 364 0.11320680 1.09 1.09 0.2 0.125 5.22754796 8e+06 7218.56400
## 365 0.11320680 1.09 1.09 0.2 0.125 5.22754796 8e+06 7218.56400
## 366 0.11350780 1.09 1.09 0.2 0.125 5.13914619 8e+06 7217.95173
## 367 0.11475069 1.09 1.09 0.2 0.125 5.29575526 8e+06 7243.88030
## 368 0.11271177 1.09 1.09 0.2 0.125 5.53394247 8e+06 7323.00974
## 369 0.11880234 1.09 1.09 0.2 0.125 5.57899652 8e+06 7319.84656
## 370 0.11579193 1.09 1.09 0.2 0.125 5.66497321 8e+06 7330.04587
## 371 0.12188615 1.09 1.09 0.2 0.125 5.21138474 8e+06 7443.77775
## 372 0.12117956 1.09 1.09 0.2 0.125 5.04293735 8e+06 7452.67180
## 373 0.12123679 1.09 1.09 0.2 0.125 5.16455068 8e+06 7414.71590
## 374 0.12352407 1.09 1.09 0.2 0.125 4.97735622 8e+06 7488.80771
## 375 0.12856226 1.09 1.09 0.2 0.125 5.99531186 8e+06 7632.26217
## 376 0.12567868 1.09 1.09 0.2 0.125 5.85298932 8e+06 7593.13941
## 377 0.12491283 1.09 1.09 0.2 0.125 6.78455642 8e+06 7681.56495
## 378 0.12118387 1.09 1.09 0.2 0.125 7.85727102 8e+06 7764.19029
## 379 0.12617662 1.09 1.09 0.2 0.125 7.59749880 8e+06 7731.39144
## 380 0.12609241 1.09 1.09 0.2 0.125 9.97827076 8e+06 7835.68464
## 381 0.12405600 1.09 1.09 0.2 0.125 11.84043924 8e+06 7904.22972
## 382 0.11976454 1.09 1.09 0.2 0.125 13.32872352 8e+06 7926.03924
## 383 0.12450468 1.09 1.09 0.2 0.125 11.19544208 8e+06 7862.33249
## 384 0.12530097 1.09 1.09 0.2 0.125 14.60169166 8e+06 7944.63817
## 385 0.12593974 1.09 1.09 0.2 0.125 21.57586175 8e+06 8120.06861
## 386 0.12790044 1.09 1.09 0.2 0.125 23.33004436 8e+06 8125.41565
## 387 0.12576059 1.09 1.09 0.2 0.125 23.20930540 8e+06 8194.11413
## 388 0.13730726 1.09 1.09 0.2 0.125 23.04382871 8e+06 8269.15763
## 389 0.13436689 1.09 1.09 0.2 0.125 27.10016701 8e+06 8407.09185
## 390 0.12668674 1.09 1.09 0.2 0.125 26.70835170 8e+06 8435.97907
## 391 0.12671335 1.09 1.09 0.2 0.125 33.43281785 8e+06 8671.28446
## 392 0.13041958 1.09 1.09 0.2 0.125 32.39266603 8e+06 8636.99333
## 393 0.13132917 1.09 1.09 0.2 0.125 34.34083074 8e+06 8706.64005
## 394 0.12817046 1.09 1.09 0.2 0.125 30.97735063 8e+06 8721.59635
## 395 0.12792466 1.09 1.09 0.2 0.125 39.40617426 8e+06 8863.28960
## 396 0.12861778 1.09 1.09 0.2 0.125 43.40319229 8e+06 8889.14865
## 397 0.12816840 1.09 1.09 0.2 0.125 50.17630139 8e+06 8947.76591
## 398 0.12806590 1.09 1.09 0.2 0.125 49.50782125 8e+06 8952.39570
## 399 0.13237149 1.09 1.09 0.2 0.125 49.22494137 8e+06 9006.29927
## 400 0.13258006 1.09 1.09 0.2 0.125 50.81189683 8e+06 9093.55899
## 401 0.13396439 1.09 1.09 0.2 0.125 49.40457823 8e+06 9113.13595
## 402 0.13492755 1.09 1.09 0.2 0.125 52.44159367 8e+06 9165.56953
## 403 0.13372090 1.09 1.09 0.2 0.125 54.10648330 8e+06 9202.09115
## 404 0.13024942 1.09 1.09 0.2 0.125 53.52641661 8e+06 9308.52795
## 405 0.13365967 1.09 1.09 0.2 0.125 53.25333525 8e+06 9316.55703
## 406 0.13093584 1.09 1.09 0.2 0.125 55.36583506 8e+06 9210.15948
## 407 0.13411853 1.09 1.09 0.2 0.125 51.96560674 8e+06 9293.92873
## 408 0.13318992 1.09 1.09 0.2 0.125 47.80611987 8e+06 9353.25107
## 409 0.13720061 1.09 1.09 0.2 0.125 44.68091268 8e+06 9492.31481
## 410 0.13818669 1.09 1.09 0.2 0.125 42.47372507 8e+06 9512.07177
## 411 0.13918666 1.09 1.09 0.2 0.125 46.60733465 8e+06 9462.38629
## 412 0.14090064 1.09 1.09 0.2 0.125 38.88574701 8e+06 9578.46779
## 413 0.14350644 1.09 1.09 0.2 0.125 39.02003350 8e+06 9579.19166
## 414 0.14702007 1.09 1.09 0.2 0.125 38.56721761 8e+06 9719.76334
## 415 0.14524023 1.09 1.09 0.2 0.125 38.53007819 8e+06 9693.42308
## 416 0.14524023 1.09 1.09 0.2 0.125 38.53007819 8e+06 9693.42308
## 417 0.17418769 1.09 1.09 0.2 0.125 0.63523309 8e+06 14225.27738
## 418 0.17418769 1.09 1.09 0.2 0.125 0.63523309 8e+06 14225.27738
## 419 0.15782536 1.09 1.09 0.2 0.125 0.68800997 8e+06 13956.57285
## 420 0.15802735 1.09 1.09 0.2 0.125 0.81958826 8e+06 14048.46056
## 421 0.16109811 1.09 1.09 0.2 0.125 0.98960251 8e+06 14212.49302
## 422 0.15418992 1.09 1.09 0.2 0.125 1.06878783 8e+06 14314.93975
## 423 0.14083595 1.09 1.09 0.2 0.125 1.23587549 8e+06 14278.76072
## 424 0.13919230 1.09 1.09 0.2 0.125 1.25217757 8e+06 14296.64482
## 425 0.12805979 1.09 1.09 0.2 0.125 1.38888946 8e+06 14496.95553
## 426 0.13253513 1.09 1.09 0.2 0.125 1.41354068 8e+06 14542.79303
## 427 0.13664307 1.09 1.09 0.2 0.125 1.82208880 8e+06 14473.51110
## 428 0.13964552 1.09 1.09 0.2 0.125 2.10030656 8e+06 14486.69691
## 429 0.13012702 1.09 1.09 0.2 0.125 2.21343174 8e+06 14545.36548
## 430 0.12774228 1.09 1.09 0.2 0.125 2.14202662 8e+06 14556.71330
## 431 0.12365546 1.09 1.09 0.2 0.125 2.28998579 8e+06 14628.19937
## 432 0.12670797 1.09 1.09 0.2 0.125 2.44704136 8e+06 14713.42523
## 433 0.12681531 1.09 1.09 0.2 0.125 2.43478548 8e+06 14883.47126
## 434 0.12716034 1.09 1.09 0.2 0.125 2.62550345 8e+06 15203.28052
## 435 0.12679683 1.09 1.09 0.2 0.125 2.68069757 8e+06 15395.74353
## 436 0.13167197 1.09 1.09 0.2 0.125 2.81814282 8e+06 15542.03935
## 437 0.12816804 1.09 1.09 0.2 0.125 2.89927133 8e+06 15426.47127
## 438 0.11739746 1.09 1.09 0.2 0.125 2.80149765 8e+06 15637.21831
## 439 0.12498080 1.09 1.09 0.2 0.125 3.17323512 8e+06 15676.46624
## 440 0.12563573 1.09 1.09 0.2 0.125 2.99027548 8e+06 15585.73663
## 441 0.12967183 1.09 1.09 0.2 0.125 3.08874710 8e+06 15864.01330
## 442 0.12385461 1.09 1.09 0.2 0.125 3.23641030 8e+06 15819.88110
## 443 0.13132190 1.09 1.09 0.2 0.125 3.03936806 8e+06 16332.60233
## 444 0.13121479 1.09 1.09 0.2 0.125 3.34425135 8e+06 16580.00268
## 445 0.13729702 1.09 1.09 0.2 0.125 3.49251711 8e+06 16630.71242
## 446 0.13861971 1.09 1.09 0.2 0.125 3.69280480 8e+06 16531.74649
## 447 0.13966707 1.09 1.09 0.2 0.125 3.76913526 8e+06 16785.57582
## 448 0.13729171 1.09 1.09 0.2 0.125 3.62811633 8e+06 16827.10148
## 449 0.14236034 1.09 1.09 0.2 0.125 3.58624167 8e+06 17111.58373
## 450 0.14132797 1.09 1.09 0.2 0.125 3.56461121 8e+06 17150.27615
## 451 0.15316209 1.09 1.09 0.2 0.125 3.34514193 8e+06 17335.49172
## 452 0.14943426 1.09 1.09 0.2 0.125 2.97501413 8e+06 17848.39555
## 453 0.14944801 1.09 1.09 0.2 0.125 2.97463553 8e+06 18064.89874
## 454 0.15513155 1.09 1.09 0.2 0.125 3.11264628 8e+06 17985.69380
## 455 0.15029722 1.09 1.09 0.2 0.125 2.88058584 8e+06 18147.45148
## 456 0.15289029 1.09 1.09 0.2 0.125 2.70758561 8e+06 18393.07505
## 457 0.15008262 1.09 1.09 0.2 0.125 2.66017201 8e+06 18466.98680
## 458 0.14912615 1.09 1.09 0.2 0.125 2.84676470 8e+06 18777.61617
## 459 0.14620545 1.09 1.09 0.2 0.125 2.78706661 8e+06 19030.33504
## 460 0.14659107 1.09 1.09 0.2 0.125 2.84474493 8e+06 19047.49429
## 461 0.14103834 1.09 1.09 0.2 0.125 2.87025305 8e+06 19104.98770
## 462 0.13938666 1.09 1.09 0.2 0.125 2.86667929 8e+06 19238.92149
## 463 0.13793705 1.09 1.09 0.2 0.125 3.03945940 8e+06 19383.61481
## 464 0.13849427 1.09 1.09 0.2 0.125 3.07600766 8e+06 19381.07487
## 465 0.14234847 1.09 1.09 0.2 0.125 3.24956775 8e+06 19551.05028
## 466 0.13581852 1.09 1.09 0.2 0.125 3.08847946 8e+06 19689.11789
## 467 0.13872888 1.09 1.09 0.2 0.125 3.16364165 8e+06 19752.08475
## 468 0.13726991 1.09 1.09 0.2 0.125 3.23646577 8e+06 19863.58806
## 469 0.13726991 1.09 1.09 0.2 0.125 3.23646577 8e+06 19863.58806
## 470 0.13898022 1.09 1.09 0.2 0.125 3.17671902 8e+06 19814.46810
## 471 0.14034998 1.09 1.09 0.2 0.125 3.19333791 8e+06 19856.43559
## 472 0.13988077 1.09 1.09 0.2 0.125 3.12520365 8e+06 19814.99515
## 473 0.14035345 1.09 1.09 0.2 0.125 2.79686706 8e+06 19837.97803
## 474 0.14322942 1.09 1.09 0.2 0.125 2.66675780 8e+06 19841.68064
## 475 0.14481027 1.09 1.09 0.2 0.125 2.79554068 8e+06 19662.44540
## 476 0.13380443 1.09 1.09 0.2 0.125 2.74698877 8e+06 19657.02714
## 477 0.12767567 1.09 1.09 0.2 0.125 3.27233930 8e+06 19600.44477
## 478 0.13316508 1.09 1.09 0.2 0.125 3.64928614 8e+06 19536.28286
## 479 0.13420574 1.09 1.09 0.2 0.125 3.41948350 8e+06 19658.16998
## 480 0.13012573 1.09 1.09 0.2 0.125 3.39896257 8e+06 20085.24981
## 481 0.13190907 1.09 1.09 0.2 0.125 3.38177066 8e+06 20300.95859
## 482 0.13525724 1.09 1.09 0.2 0.125 3.73628058 8e+06 20868.41121
## 483 0.13660099 1.09 1.09 0.2 0.125 3.71420068 8e+06 21545.88119
## 484 0.14040052 1.09 1.09 0.2 0.125 3.68508607 8e+06 22574.21062
## 485 0.14412240 1.09 1.09 0.2 0.125 3.69293315 8e+06 22654.21639
## 486 0.15200060 1.09 1.09 0.2 0.125 3.67455615 8e+06 22991.88393
## 487 0.15440015 1.09 1.09 0.2 0.125 3.82970707 8e+06 23470.46929
## 488 0.14949533 1.09 1.09 0.2 0.125 3.80786175 8e+06 23732.17637
## 489 0.14699394 1.09 1.09 0.2 0.125 3.93028487 8e+06 24121.52113
## 490 0.14091222 1.09 1.09 0.2 0.125 3.87767107 8e+06 24116.50089
## 491 0.14822731 1.09 1.09 0.2 0.125 3.54191164 8e+06 23814.17907
## 492 0.14944129 1.09 1.09 0.2 0.125 3.93743694 8e+06 23984.27485
## 493 0.15052503 1.09 1.09 0.2 0.125 4.40708875 8e+06 24891.58019
## 494 0.15226649 1.09 1.09 0.2 0.125 4.83158689 8e+06 25512.42638
## 495 0.15091521 1.09 1.09 0.2 0.125 5.11525609 8e+06 25486.57075
## 496 0.15590736 1.09 1.09 0.2 0.125 5.72826425 8e+06 25508.58194
## 497 0.16044805 1.09 1.09 0.2 0.125 6.41030139 8e+06 25603.75441
## 498 0.16134610 1.09 1.09 0.2 0.125 6.95767365 8e+06 25596.92206
## 499 0.15562305 1.09 1.09 0.2 0.125 7.78914025 8e+06 25545.90180
## 500 0.15580690 1.09 1.09 0.2 0.125 8.55550142 8e+06 25607.21059
## 501 0.15741446 1.09 1.09 0.2 0.125 9.53668572 8e+06 25813.45447
## 502 0.16009583 1.09 1.09 0.2 0.125 10.49754513 8e+06 25837.79546
## 503 0.16154950 1.09 1.09 0.2 0.125 10.86008329 8e+06 25898.32004
## 504 0.16227102 1.09 1.09 0.2 0.125 12.64343788 8e+06 26145.77130
## 505 0.16255287 1.09 1.09 0.2 0.125 13.14425108 8e+06 26137.49132
## 506 0.16862918 1.09 1.09 0.2 0.125 15.47653382 8e+06 26472.27734
## 507 0.16825763 1.09 1.09 0.2 0.125 14.57675302 8e+06 26527.25162
## 508 0.16639433 1.09 1.09 0.2 0.125 11.75445612 8e+06 26806.54608
## 509 0.16736140 1.09 1.09 0.2 0.125 11.72383627 8e+06 26933.62988
## 510 0.16522184 1.09 1.09 0.2 0.125 12.18260868 8e+06 26843.92015
## 511 0.16508669 1.09 1.09 0.2 0.125 13.67804918 8e+06 26911.37100
## 512 0.16376102 1.09 1.09 0.2 0.125 13.21567100 8e+06 27146.53291
## 513 0.16365599 1.09 1.09 0.2 0.125 12.78625487 8e+06 27301.33593
## 514 0.16224782 1.09 1.09 0.2 0.125 13.96319067 8e+06 27405.55014
## 515 0.16313822 1.09 1.09 0.2 0.125 14.79738573 8e+06 27334.03266
## 516 0.16320453 1.09 1.09 0.2 0.125 14.88116270 8e+06 27319.25261
## 517 0.16318503 1.09 1.09 0.2 0.125 15.04326212 8e+06 27281.71651
## 518 0.16058394 1.09 1.09 0.2 0.125 12.27377472 8e+06 27260.16157
## 519 0.16149008 1.09 1.09 0.2 0.125 11.96641507 8e+06 27335.40856
## 520 0.16149008 1.09 1.09 0.2 0.125 11.96641507 8e+06 27335.40856
## 521 0.28341794 1.09 1.09 0.2 0.125 0.68498109 8e+06 13304.75272
## 522 0.28341794 1.09 1.09 0.2 0.125 0.68498109 8e+06 13304.75272
## 523 0.26787533 1.09 1.09 0.2 0.125 0.66865270 8e+06 13413.33635
## 524 0.27553746 1.09 1.09 0.2 0.125 0.73286914 8e+06 13379.56014
## 525 0.27839493 1.09 1.09 0.2 0.125 0.75181461 8e+06 13476.87205
## 526 0.22379678 1.09 1.09 0.2 0.125 0.63782574 8e+06 13432.49221
## 527 0.20884097 1.09 1.09 0.2 0.125 0.52433705 8e+06 13093.11754
## 528 0.17368655 1.09 1.09 0.2 0.125 0.53570549 8e+06 13034.05812
## 529 0.14521742 1.09 1.09 0.2 0.125 0.59029558 8e+06 13134.39257
## 530 0.12328625 1.09 1.09 0.2 0.125 0.69459241 8e+06 13146.61191
## 531 0.10679252 1.09 1.09 0.2 0.125 0.82769746 8e+06 13166.28240
## 532 0.10532338 1.09 1.09 0.2 0.125 0.97716479 8e+06 12942.38339
## 533 0.10961433 1.09 1.09 0.2 0.125 0.97183231 8e+06 12940.48437
## 534 0.11267743 1.09 1.09 0.2 0.125 1.05876251 8e+06 12957.38926
## 535 0.11023194 1.09 1.09 0.2 0.125 1.18869423 8e+06 13060.58617
## 536 0.11771482 1.09 1.09 0.2 0.125 1.43754394 8e+06 12982.67884
## 537 0.11931558 1.09 1.09 0.2 0.125 1.49101174 8e+06 13053.23451
## 538 0.11696030 1.09 1.09 0.2 0.125 1.39720173 8e+06 13047.27007
## 539 0.12161205 1.09 1.09 0.2 0.125 1.46317211 8e+06 12974.70679
## 540 0.12638258 1.09 1.09 0.2 0.125 1.56258858 8e+06 13029.83839
## 541 0.12707920 1.09 1.09 0.2 0.125 1.60997912 8e+06 13202.13715
## 542 0.12578987 1.09 1.09 0.2 0.125 2.01442530 8e+06 13268.69381
## 543 0.12810268 1.09 1.09 0.2 0.125 2.14087068 8e+06 13205.64510
## 544 0.12832740 1.09 1.09 0.2 0.125 2.36866938 8e+06 13282.87022
## 545 0.13193142 1.09 1.09 0.2 0.125 2.34740752 8e+06 13233.12981
## 546 0.12866178 1.09 1.09 0.2 0.125 2.40721251 8e+06 13300.90632
## 547 0.12644541 1.09 1.09 0.2 0.125 2.35174416 8e+06 13372.12557
## 548 0.12857341 1.09 1.09 0.2 0.125 2.41051404 8e+06 13412.28045
## 549 0.12916526 1.09 1.09 0.2 0.125 2.52826866 8e+06 13726.21892
## 550 0.13039633 1.09 1.09 0.2 0.125 2.64764212 8e+06 13991.47383
## 551 0.14091601 1.09 1.09 0.2 0.125 2.70785281 8e+06 14062.54705
## 552 0.14304345 1.09 1.09 0.2 0.125 3.22903683 8e+06 14386.17242
## 553 0.14298410 1.09 1.09 0.2 0.125 3.54795464 8e+06 14463.33368
## 554 0.14343893 1.09 1.09 0.2 0.125 3.49734331 8e+06 14565.96425
## 555 0.14265458 1.09 1.09 0.2 0.125 3.38748383 8e+06 14657.13018
## 556 0.14273956 1.09 1.09 0.2 0.125 3.92041031 8e+06 14661.80140
## 557 0.14271805 1.09 1.09 0.2 0.125 3.85317204 8e+06 14635.32314
## 558 0.14805139 1.09 1.09 0.2 0.125 3.84783170 8e+06 14936.94312
## 559 0.15027994 1.09 1.09 0.2 0.125 3.83122054 8e+06 15064.27485
## 560 0.14816853 1.09 1.09 0.2 0.125 3.87795681 8e+06 15062.44527
## 561 0.15201912 1.09 1.09 0.2 0.125 3.81895690 8e+06 15037.73953
## 562 0.15932407 1.09 1.09 0.2 0.125 3.70738975 8e+06 15263.41201
## 563 0.16332993 1.09 1.09 0.2 0.125 3.60347710 8e+06 15318.28013
## 564 0.16506928 1.09 1.09 0.2 0.125 3.45099004 8e+06 15608.40608
## 565 0.16582327 1.09 1.09 0.2 0.125 3.65811251 8e+06 15866.62799
## 566 0.16131893 1.09 1.09 0.2 0.125 3.62011071 8e+06 16049.63768
## 567 0.16468279 1.09 1.09 0.2 0.125 3.66099134 8e+06 16138.99856
## 568 0.17403577 1.09 1.09 0.2 0.125 3.72871724 8e+06 16294.88873
## 569 0.17630180 1.09 1.09 0.2 0.125 3.72240766 8e+06 16485.97014
## 570 0.17093224 1.09 1.09 0.2 0.125 3.55934652 8e+06 16506.30177
## 571 0.17070903 1.09 1.09 0.2 0.125 3.46310620 8e+06 16559.11660
## 572 0.16721767 1.09 1.09 0.2 0.125 3.52576410 8e+06 16661.55205
## 573 0.16721767 1.09 1.09 0.2 0.125 3.52576410 8e+06 16661.55205
## 574 0.16895547 1.09 1.09 0.2 0.125 3.47863920 8e+06 16699.74525
## 575 0.16359627 1.09 1.09 0.2 0.125 3.47812001 8e+06 16810.53313
## 576 0.16669786 1.09 1.09 0.2 0.125 3.75400346 8e+06 16668.36810
## 577 0.17241375 1.09 1.09 0.2 0.125 3.97335110 8e+06 16790.14454
## 578 0.17200480 1.09 1.09 0.2 0.125 4.08232153 8e+06 16815.69880
## 579 0.16588653 1.09 1.09 0.2 0.125 4.27145738 8e+06 16878.31984
## 580 0.16618737 1.09 1.09 0.2 0.125 4.75586023 8e+06 17019.14103
## 581 0.16921866 1.09 1.09 0.2 0.125 4.32445730 8e+06 17045.99786
## 582 0.15788076 1.09 1.09 0.2 0.125 5.01424884 8e+06 17241.20104
## 583 0.16651018 1.09 1.09 0.2 0.125 5.41807497 8e+06 17588.29919
## 584 0.17478019 1.09 1.09 0.2 0.125 5.04962424 8e+06 17496.61681
## 585 0.17174332 1.09 1.09 0.2 0.125 4.90463491 8e+06 17575.79299
## 586 0.17352175 1.09 1.09 0.2 0.125 5.53938679 8e+06 17879.65221
## 587 0.17243253 1.09 1.09 0.2 0.125 6.05156751 8e+06 18014.64983
## 588 0.16701135 1.09 1.09 0.2 0.125 6.67809200 8e+06 17742.11814
## 589 0.16738246 1.09 1.09 0.2 0.125 6.96247077 8e+06 17787.37603
## 590 0.16126253 1.09 1.09 0.2 0.125 7.30240530 8e+06 17888.73004
## 591 0.16232417 1.09 1.09 0.2 0.125 7.27371526 8e+06 17882.96410
## 592 0.16365678 1.09 1.09 0.2 0.125 6.76542162 8e+06 17822.54966
## 593 0.15728925 1.09 1.09 0.2 0.125 8.31994123 8e+06 17754.25121
## 594 0.15380980 1.09 1.09 0.2 0.125 7.47972469 8e+06 17731.02100
## 595 0.16283165 1.09 1.09 0.2 0.125 5.47269891 8e+06 18026.28247
## 596 0.16893376 1.09 1.09 0.2 0.125 5.49920095 8e+06 17878.27650
## 597 0.17752362 1.09 1.09 0.2 0.125 4.84445295 8e+06 18121.44053
## 598 0.17629406 1.09 1.09 0.2 0.125 4.43916903 8e+06 18178.09529
## 599 0.18304386 1.09 1.09 0.2 0.125 4.30141048 8e+06 18230.14622
## 600 0.17809900 1.09 1.09 0.2 0.125 5.13265635 8e+06 18169.92662
## 601 0.18260935 1.09 1.09 0.2 0.125 4.60497717 8e+06 18378.39792
## 602 0.18516579 1.09 1.09 0.2 0.125 4.61119412 8e+06 18417.09202
## 603 0.18884414 1.09 1.09 0.2 0.125 4.19620590 8e+06 18764.68072
## 604 0.18848365 1.09 1.09 0.2 0.125 3.88989634 8e+06 18700.57210
## 605 0.18840213 1.09 1.09 0.2 0.125 4.48946016 8e+06 18745.86217
## 606 0.18391534 1.09 1.09 0.2 0.125 4.74377314 8e+06 18554.06991
## 607 0.18448631 1.09 1.09 0.2 0.125 5.06952315 8e+06 18800.69671
## 608 0.18396790 1.09 1.09 0.2 0.125 5.32286059 8e+06 18906.82320
## 609 0.17877830 1.09 1.09 0.2 0.125 5.03796949 8e+06 19314.98099
## 610 0.17947814 1.09 1.09 0.2 0.125 5.13464781 8e+06 18757.73410
## 611 0.17854980 1.09 1.09 0.2 0.125 5.20121794 8e+06 18889.01669
## 612 0.17998627 1.09 1.09 0.2 0.125 6.02523391 8e+06 19006.01898
## 613 0.18866749 1.09 1.09 0.2 0.125 6.22169428 8e+06 19415.62451
## 614 0.18852126 1.09 1.09 0.2 0.125 6.70289076 8e+06 19583.26408
## 615 0.18433207 1.09 1.09 0.2 0.125 6.58177477 8e+06 19693.64542
## 616 0.17990719 1.09 1.09 0.2 0.125 6.44052082 8e+06 19751.27638
## 617 0.18376061 1.09 1.09 0.2 0.125 5.86358637 8e+06 19712.73442
## 618 0.19109473 1.09 1.09 0.2 0.125 4.96775100 8e+06 19590.81246
## 619 0.18703809 1.09 1.09 0.2 0.125 5.64814887 8e+06 19770.71380
## 620 0.18418340 1.09 1.09 0.2 0.125 5.38581879 8e+06 19790.55938
## 621 0.18668348 1.09 1.09 0.2 0.125 4.72374358 8e+06 20005.46547
## 622 0.19074715 1.09 1.09 0.2 0.125 5.59656169 8e+06 19975.99927
## 623 0.19251873 1.09 1.09 0.2 0.125 6.03996392 8e+06 20024.91489
## 624 0.19251873 1.09 1.09 0.2 0.125 6.03996392 8e+06 20024.91489
## 625 0.36343412 1.09 1.09 0.2 0.125 0.88174837 8e+06 12313.97249
## 626 0.36343412 1.09 1.09 0.2 0.125 0.88174837 8e+06 12313.97249
## 627 0.38657155 1.09 1.09 0.2 0.125 0.77398352 8e+06 12563.93508
## 628 0.32543201 1.09 1.09 0.2 0.125 0.81836600 8e+06 12650.94676
## 629 0.36704656 1.09 1.09 0.2 0.125 1.05281488 8e+06 12503.37054
## 630 0.37586708 1.09 1.09 0.2 0.125 0.98689938 8e+06 12528.83389
## 631 0.41799951 1.09 1.09 0.2 0.125 0.94536690 8e+06 12941.06638
## 632 0.40970303 1.09 1.09 0.2 0.125 0.95956836 8e+06 13333.80690
## 633 0.47834762 1.09 1.09 0.2 0.125 0.92172987 8e+06 12681.66855
## 634 0.55326232 1.09 1.09 0.2 0.125 1.06394540 8e+06 12821.81531
## 635 0.56380960 1.09 1.09 0.2 0.125 1.09793721 8e+06 12940.38623
## 636 0.58062292 1.09 1.09 0.2 0.125 0.98915882 8e+06 12711.12788
## 637 0.59649612 1.09 1.09 0.2 0.125 1.10642112 8e+06 12832.70602
## 638 0.64013892 1.09 1.09 0.2 0.125 1.15089746 8e+06 12680.71044
## 639 0.64145122 1.09 1.09 0.2 0.125 1.12959248 8e+06 12773.62761
## 640 0.65343647 1.09 1.09 0.2 0.125 1.18109115 8e+06 12983.22876
## 641 0.68045206 1.09 1.09 0.2 0.125 1.20796061 8e+06 12717.57868
## 642 0.66171022 1.09 1.09 0.2 0.125 1.17684603 8e+06 13128.28121
## 643 0.65451646 1.09 1.09 0.2 0.125 1.08392831 8e+06 13560.01827
## 644 0.65696890 1.09 1.09 0.2 0.125 1.02592315 8e+06 13635.15482
## 645 0.66101252 1.09 1.09 0.2 0.125 1.04817644 8e+06 13671.62113
## 646 0.65100065 1.09 1.09 0.2 0.125 1.09975407 8e+06 13743.31150
## 647 0.67941829 1.09 1.09 0.2 0.125 1.14618710 8e+06 13572.71762
## 648 0.67873643 1.09 1.09 0.2 0.125 1.15034700 8e+06 13719.39450
## 649 0.67281917 1.09 1.09 0.2 0.125 1.13869468 8e+06 13756.61095
## 650 0.68180240 1.09 1.09 0.2 0.125 1.08454896 8e+06 13942.30160
## 651 0.68596574 1.09 1.09 0.2 0.125 1.14035933 8e+06 13954.94904
## 652 0.66962711 1.09 1.09 0.2 0.125 1.15740855 8e+06 14496.72362
## 653 0.66544368 1.09 1.09 0.2 0.125 1.26283035 8e+06 14809.15868
## 654 0.65954711 1.09 1.09 0.2 0.125 1.26686123 8e+06 14835.38818
## 655 0.67224495 1.09 1.09 0.2 0.125 1.30589005 8e+06 14959.28058
## 656 0.65759961 1.09 1.09 0.2 0.125 1.48233273 8e+06 15064.81113
## 657 0.66332667 1.09 1.09 0.2 0.125 1.58714972 8e+06 15202.36903
## 658 0.66406382 1.09 1.09 0.2 0.125 1.63814642 8e+06 15143.36503
## 659 0.66233541 1.09 1.09 0.2 0.125 1.78763289 8e+06 15146.84012
## 660 0.66118740 1.09 1.09 0.2 0.125 1.87936126 8e+06 15443.48796
## 661 0.65430398 1.09 1.09 0.2 0.125 1.86685180 8e+06 15569.91422
## 662 0.65448910 1.09 1.09 0.2 0.125 1.75758387 8e+06 15587.70384
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## 664 0.64639260 1.09 1.09 0.2 0.125 1.77666465 8e+06 15897.53655
## 665 0.65306769 1.09 1.09 0.2 0.125 1.58596977 8e+06 16017.56780
## 666 0.65750109 1.09 1.09 0.2 0.125 1.56283829 8e+06 16269.12587
## 667 0.65521732 1.09 1.09 0.2 0.125 1.45913655 8e+06 16518.87496
## 668 0.66158066 1.09 1.09 0.2 0.125 1.55961358 8e+06 16498.88857
## 669 0.66598582 1.09 1.09 0.2 0.125 1.49066654 8e+06 16622.44244
## 670 0.66558006 1.09 1.09 0.2 0.125 1.49430924 8e+06 16877.50168
## 671 0.67637394 1.09 1.09 0.2 0.125 1.38859226 8e+06 17170.84457
## 672 0.66963562 1.09 1.09 0.2 0.125 1.37343889 8e+06 17513.47865
## 673 0.67671173 1.09 1.09 0.2 0.125 1.36867515 8e+06 17734.81117
## 674 0.67585375 1.09 1.09 0.2 0.125 1.28783564 8e+06 17911.95075
## 675 0.67437994 1.09 1.09 0.2 0.125 1.18896597 8e+06 17980.01428
## 676 0.68042153 1.09 1.09 0.2 0.125 1.23795868 8e+06 18023.88551
## 677 0.68042153 1.09 1.09 0.2 0.125 1.23795868 8e+06 18023.88551
## 678 0.69236226 1.09 1.09 0.2 0.125 1.27195191 8e+06 18053.39487
## 679 0.69067793 1.09 1.09 0.2 0.125 1.25426481 8e+06 18204.59893
## 680 0.69180808 1.09 1.09 0.2 0.125 1.18736927 8e+06 18139.44890
## 681 0.68559514 1.09 1.09 0.2 0.125 1.15840340 8e+06 18145.85351
## 682 0.65849390 1.09 1.09 0.2 0.125 1.14442936 8e+06 18223.62120
## 683 0.68899262 1.09 1.09 0.2 0.125 1.16675604 8e+06 18723.51853
## 684 0.69759537 1.09 1.09 0.2 0.125 1.01984935 8e+06 18648.78980
## 685 0.68658957 1.09 1.09 0.2 0.125 1.00094441 8e+06 19089.00663
## 686 0.69896249 1.09 1.09 0.2 0.125 1.02941276 8e+06 19326.72265
## 687 0.69122759 1.09 1.09 0.2 0.125 1.00574972 8e+06 19395.89735
## 688 0.69190559 1.09 1.09 0.2 0.125 1.06759008 8e+06 19262.13305
## 689 0.68679673 1.09 1.09 0.2 0.125 0.94859915 8e+06 19717.28073
## 690 0.69404289 1.09 1.09 0.2 0.125 0.95292687 8e+06 20198.79991
## 691 0.70951162 1.09 1.09 0.2 0.125 0.94362958 8e+06 20326.30762
## 692 0.70849365 1.09 1.09 0.2 0.125 1.11119518 8e+06 20347.23704
## 693 0.68852385 1.09 1.09 0.2 0.125 1.22830908 8e+06 20883.06848
## 694 0.68864572 1.09 1.09 0.2 0.125 1.34060942 8e+06 21340.35533
## 695 0.68489363 1.09 1.09 0.2 0.125 1.37170171 8e+06 21446.22273
## 696 0.68523282 1.09 1.09 0.2 0.125 1.41374520 8e+06 21872.05276
## 697 0.68919280 1.09 1.09 0.2 0.125 1.71890214 8e+06 22152.60705
## 698 0.67487323 1.09 1.09 0.2 0.125 1.50970388 8e+06 22249.52540
## 699 0.67248949 1.09 1.09 0.2 0.125 1.60947048 8e+06 22112.78216
## 700 0.68468256 1.09 1.09 0.2 0.125 1.64454330 8e+06 22220.40633
## 701 0.69048081 1.09 1.09 0.2 0.125 1.84159715 8e+06 22087.67893
## 702 0.66969808 1.09 1.09 0.2 0.125 1.97055212 8e+06 22739.41262
## 703 0.68729066 1.09 1.09 0.2 0.125 1.98412203 8e+06 22327.41825
## 704 0.68015564 1.09 1.09 0.2 0.125 2.23954165 8e+06 22618.63277
## 705 0.67862796 1.09 1.09 0.2 0.125 2.31426717 8e+06 22963.63244
## 706 0.68083855 1.09 1.09 0.2 0.125 2.29880765 8e+06 22998.14078
## 707 0.67485221 1.09 1.09 0.2 0.125 2.25372020 8e+06 23078.29759
## 708 0.67978267 1.09 1.09 0.2 0.125 2.23692366 8e+06 23702.81868
## 709 0.68287304 1.09 1.09 0.2 0.125 2.05626677 8e+06 24209.20096
## 710 0.68832687 1.09 1.09 0.2 0.125 2.04754665 8e+06 24404.48349
## 711 0.69166490 1.09 1.09 0.2 0.125 2.15542615 8e+06 24672.45378
## 712 0.70148616 1.09 1.09 0.2 0.125 2.07473086 8e+06 24901.15570
## 713 0.70982856 1.09 1.09 0.2 0.125 1.99401303 8e+06 24798.29463
## 714 0.70048443 1.09 1.09 0.2 0.125 2.09168609 8e+06 24821.91602
## 715 0.67301109 1.09 1.09 0.2 0.125 2.05709977 8e+06 24886.16873
## 716 0.68439490 1.09 1.09 0.2 0.125 2.47882037 8e+06 24989.24416
## 717 0.68517171 1.09 1.09 0.2 0.125 2.40011314 8e+06 25081.38821
## 718 0.68551702 1.09 1.09 0.2 0.125 2.50271123 8e+06 25192.08851
## 719 0.68571571 1.09 1.09 0.2 0.125 2.32263697 8e+06 25443.10022
## 720 0.68911938 1.09 1.09 0.2 0.125 2.19774451 8e+06 25871.34319
## 721 0.69074658 1.09 1.09 0.2 0.125 2.17158943 8e+06 25806.31189
## 722 0.69417807 1.09 1.09 0.2 0.125 2.14152868 8e+06 26199.14038
## 723 0.70044295 1.09 1.09 0.2 0.125 2.32270034 8e+06 26765.37135
## 724 0.69209455 1.09 1.09 0.2 0.125 2.61873881 8e+06 27030.98545
## 725 0.69340577 1.09 1.09 0.2 0.125 2.63648665 8e+06 27665.30444
## 726 0.69833413 1.09 1.09 0.2 0.125 2.54957571 8e+06 28286.17904
## 727 0.69029873 1.09 1.09 0.2 0.125 2.55361874 8e+06 28488.96750
## 728 0.69029873 1.09 1.09 0.2 0.125 2.55361874 8e+06 28488.96750
## 729 0.20531886 1.09 1.09 0.2 0.125 0.23588814 8e+06 5793.95072
## 730 0.20531886 1.09 1.09 0.2 0.125 0.23588814 8e+06 5793.95072
## 731 0.20792981 1.09 1.09 0.2 0.125 0.19652046 8e+06 5750.91456
## 732 0.18323968 1.09 1.09 0.2 0.125 0.19355179 8e+06 5888.75474
## 733 0.18337606 1.09 1.09 0.2 0.125 0.23835833 8e+06 5712.86803
## 734 0.16682048 1.09 1.09 0.2 0.125 0.27603345 8e+06 5459.92624
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## 737 0.10795445 1.09 1.09 0.2 0.125 0.34040859 8e+06 5693.14071
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## 739 0.09903659 1.09 1.09 0.2 0.125 0.48730566 8e+06 5627.58643
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## 741 0.09384448 1.09 1.09 0.2 0.125 0.70551790 8e+06 5594.08468
## 742 0.10722796 1.09 1.09 0.2 0.125 0.90909392 8e+06 5638.89264
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## 744 0.12374525 1.09 1.09 0.2 0.125 1.26265659 8e+06 5643.33020
## 745 0.12799801 1.09 1.09 0.2 0.125 1.44139940 8e+06 5624.25071
## 746 0.11840241 1.09 1.09 0.2 0.125 1.39902834 8e+06 5635.87810
## 747 0.11854762 1.09 1.09 0.2 0.125 1.44971393 8e+06 5665.52044
## 748 0.11312652 1.09 1.09 0.2 0.125 1.44990891 8e+06 5695.00330
## 749 0.11220645 1.09 1.09 0.2 0.125 1.61653641 8e+06 5650.08030
## 750 0.12240924 1.09 1.09 0.2 0.125 1.53772032 8e+06 5630.53618
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## 752 0.12760875 1.09 1.09 0.2 0.125 1.52206348 8e+06 5654.46516
## 753 0.13460928 1.09 1.09 0.2 0.125 1.75226544 8e+06 5728.32691
## 754 0.13209425 1.09 1.09 0.2 0.125 1.82365267 8e+06 5770.50364
## 755 0.12717498 1.09 1.09 0.2 0.125 1.91983143 8e+06 5773.51113
## 756 0.12869863 1.09 1.09 0.2 0.125 2.12378088 8e+06 5778.16494
## 757 0.12530323 1.09 1.09 0.2 0.125 2.14840564 8e+06 5800.06610
## 758 0.13772143 1.09 1.09 0.2 0.125 2.55643090 8e+06 5734.14516
## 759 0.12086154 1.09 1.09 0.2 0.125 2.52115176 8e+06 5850.37896
## 760 0.11419562 1.09 1.09 0.2 0.125 2.68638370 8e+06 5858.75617
## 761 0.12884579 1.09 1.09 0.2 0.125 2.91376281 8e+06 5857.13812
## 762 0.12646427 1.09 1.09 0.2 0.125 2.83763360 8e+06 5820.79978
## 763 0.12822911 1.09 1.09 0.2 0.125 2.81829891 8e+06 5766.83887
## 764 0.13379663 1.09 1.09 0.2 0.125 2.41768765 8e+06 5696.12675
## 765 0.12772416 1.09 1.09 0.2 0.125 2.57463242 8e+06 5706.22010
## 766 0.12449981 1.09 1.09 0.2 0.125 2.45649892 8e+06 5753.84777
## 767 0.12350497 1.09 1.09 0.2 0.125 2.73602961 8e+06 5809.73073
## 768 0.11655134 1.09 1.09 0.2 0.125 3.10277144 8e+06 5896.16090
## 769 0.11413069 1.09 1.09 0.2 0.125 3.38105253 8e+06 5982.21671
## 770 0.11501759 1.09 1.09 0.2 0.125 3.70891623 8e+06 6053.03165
## 771 0.11619368 1.09 1.09 0.2 0.125 3.90555842 8e+06 6094.31594
## 772 0.11857650 1.09 1.09 0.2 0.125 3.93085353 8e+06 6111.40692
## 773 0.12189068 1.09 1.09 0.2 0.125 3.88903238 8e+06 6177.16349
## 774 0.11945844 1.09 1.09 0.2 0.125 3.89202775 8e+06 6169.21781
## 775 0.11923269 1.09 1.09 0.2 0.125 3.80819248 8e+06 6178.85282
## 776 0.11781745 1.09 1.09 0.2 0.125 3.92849391 8e+06 6192.71811
## 777 0.12154457 1.09 1.09 0.2 0.125 3.98814012 8e+06 6290.01540
## 778 0.12284636 1.09 1.09 0.2 0.125 4.05228444 8e+06 6394.72547
## 779 0.12615106 1.09 1.09 0.2 0.125 4.01014630 8e+06 6460.80866
## 780 0.12885608 1.09 1.09 0.2 0.125 4.04993103 8e+06 6485.90233
## 781 0.12885608 1.09 1.09 0.2 0.125 4.04993103 8e+06 6485.90233
## 782 0.13305151 1.09 1.09 0.2 0.125 4.07214618 8e+06 6496.53915
## 783 0.12850794 1.09 1.09 0.2 0.125 4.38946849 8e+06 6463.61537
## 784 0.12424735 1.09 1.09 0.2 0.125 4.31149696 8e+06 6517.86591
## 785 0.13001463 1.09 1.09 0.2 0.125 3.40836617 8e+06 6657.07360
## 786 0.11564542 1.09 1.09 0.2 0.125 3.80155875 8e+06 6631.20246
## 787 0.11583630 1.09 1.09 0.2 0.125 4.07341757 8e+06 6612.80328
## 788 0.10950492 1.09 1.09 0.2 0.125 3.98703790 8e+06 6669.73826
## 789 0.10877677 1.09 1.09 0.2 0.125 4.11658879 8e+06 6724.08232
## 790 0.10872930 1.09 1.09 0.2 0.125 4.01939730 8e+06 6768.19435
## 791 0.10497299 1.09 1.09 0.2 0.125 4.39213975 8e+06 6744.71704
## 792 0.11491376 1.09 1.09 0.2 0.125 3.95857099 8e+06 6944.07315
## 793 0.10831741 1.09 1.09 0.2 0.125 4.42310341 8e+06 6946.94413
## 794 0.10744201 1.09 1.09 0.2 0.125 4.09448391 8e+06 6958.87035
## 795 0.11276122 1.09 1.09 0.2 0.125 3.58002156 8e+06 7088.35367
## 796 0.11291022 1.09 1.09 0.2 0.125 3.34032910 8e+06 7075.39124
## 797 0.10961823 1.09 1.09 0.2 0.125 3.74990646 8e+06 7082.88225
## 798 0.11224606 1.09 1.09 0.2 0.125 3.43903781 8e+06 7289.82659
## 799 0.11390957 1.09 1.09 0.2 0.125 4.27970757 8e+06 7177.18362
## 800 0.11129827 1.09 1.09 0.2 0.125 3.81916922 8e+06 7297.81349
## 801 0.10546726 1.09 1.09 0.2 0.125 3.89660129 8e+06 7364.71191
## 802 0.10918789 1.09 1.09 0.2 0.125 3.32958521 8e+06 7504.68865
## 803 0.12459154 1.09 1.09 0.2 0.125 4.10674136 8e+06 7314.55503
## 804 0.12410831 1.09 1.09 0.2 0.125 4.35357920 8e+06 7291.62031
## 805 0.12364613 1.09 1.09 0.2 0.125 4.15024613 8e+06 7339.09077
## 806 0.12108311 1.09 1.09 0.2 0.125 3.74279263 8e+06 7342.96008
## 807 0.11801992 1.09 1.09 0.2 0.125 3.38927778 8e+06 7360.35122
## 808 0.11516969 1.09 1.09 0.2 0.125 3.39339945 8e+06 7470.34506
## 809 0.10844520 1.09 1.09 0.2 0.125 3.33217389 8e+06 7542.17330
## 810 0.11278329 1.09 1.09 0.2 0.125 3.29553061 8e+06 7575.91685
## 811 0.10979213 1.09 1.09 0.2 0.125 3.12811353 8e+06 7621.54147
## 812 0.10572854 1.09 1.09 0.2 0.125 3.10062690 8e+06 7631.49968
## 813 0.10281837 1.09 1.09 0.2 0.125 3.03092972 8e+06 7672.59586
## 814 0.10917097 1.09 1.09 0.2 0.125 3.31266494 8e+06 7710.15673
## 815 0.11096757 1.09 1.09 0.2 0.125 3.42606685 8e+06 7716.48231
## 816 0.10768277 1.09 1.09 0.2 0.125 3.54797909 8e+06 7701.37207
## 817 0.11824782 1.09 1.09 0.2 0.125 3.40778707 8e+06 7755.11859
## 818 0.11913048 1.09 1.09 0.2 0.125 3.58845947 8e+06 7808.92991
## 819 0.12148957 1.09 1.09 0.2 0.125 3.62315861 8e+06 7863.30132
## 820 0.11886408 1.09 1.09 0.2 0.125 3.48833398 8e+06 7877.86405
## 821 0.11742137 1.09 1.09 0.2 0.125 3.15810428 8e+06 7935.07591
## 822 0.12044031 1.09 1.09 0.2 0.125 3.34970304 8e+06 7952.62587
## 823 0.11698623 1.09 1.09 0.2 0.125 3.24744405 8e+06 8044.61550
## 824 0.12358176 1.09 1.09 0.2 0.125 3.08557322 8e+06 8118.48061
## 825 0.12034691 1.09 1.09 0.2 0.125 3.97930241 8e+06 7972.06258
## 826 0.11894477 1.09 1.09 0.2 0.125 3.73907099 8e+06 8039.62880
## 827 0.11929796 1.09 1.09 0.2 0.125 3.61933896 8e+06 8050.97133
## 828 0.12262667 1.09 1.09 0.2 0.125 3.42055443 8e+06 8175.51196
## 829 0.11880986 1.09 1.09 0.2 0.125 3.46855804 8e+06 8162.74121
## 830 0.11648438 1.09 1.09 0.2 0.125 3.31341858 8e+06 8131.91685
## 831 0.11404515 1.09 1.09 0.2 0.125 3.62536898 8e+06 8207.68087
## 832 0.11404515 1.09 1.09 0.2 0.125 3.62536898 8e+06 8207.68087
## 833 0.39369090 1.09 1.09 0.2 0.125 0.55098539 8e+06 6478.03339
## 834 0.39369090 1.09 1.09 0.2 0.125 0.55098539 8e+06 6478.03339
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## 837 0.41065382 1.09 1.09 0.2 0.125 0.73901635 8e+06 6445.48048
## 838 0.48345162 1.09 1.09 0.2 0.125 0.87258078 8e+06 6476.23977
## 839 0.45917207 1.09 1.09 0.2 0.125 0.72624800 8e+06 6362.51580
## 840 0.38794855 1.09 1.09 0.2 0.125 0.77387950 8e+06 6534.80733
## 841 0.39548174 1.09 1.09 0.2 0.125 0.75104506 8e+06 6755.11548
## 842 0.34061284 1.09 1.09 0.2 0.125 0.84191052 8e+06 6782.94423
## 843 0.29511235 1.09 1.09 0.2 0.125 0.98397028 8e+06 6835.18367
## 844 0.25179397 1.09 1.09 0.2 0.125 1.14235714 8e+06 6897.95002
## 845 0.20865475 1.09 1.09 0.2 0.125 1.15356451 8e+06 6941.36669
## 846 0.19978146 1.09 1.09 0.2 0.125 1.12525114 8e+06 6951.49236
## 847 0.17910264 1.09 1.09 0.2 0.125 1.05251730 8e+06 6953.15861
## 848 0.17291586 1.09 1.09 0.2 0.125 1.19198144 8e+06 6971.79474
## 849 0.16386089 1.09 1.09 0.2 0.125 1.21120430 8e+06 6963.89793
## 850 0.15833232 1.09 1.09 0.2 0.125 1.27406475 8e+06 6964.48254
## 851 0.14587025 1.09 1.09 0.2 0.125 1.37044595 8e+06 7024.12266
## 852 0.13497246 1.09 1.09 0.2 0.125 1.42796177 8e+06 6955.56811
## 853 0.12814356 1.09 1.09 0.2 0.125 1.54516186 8e+06 6976.18280
## 854 0.12988930 1.09 1.09 0.2 0.125 1.79680062 8e+06 7008.27591
## 855 0.12773609 1.09 1.09 0.2 0.125 1.75088711 8e+06 7066.85188
## 856 0.12646874 1.09 1.09 0.2 0.125 1.78934120 8e+06 7086.77385
## 857 0.12919986 1.09 1.09 0.2 0.125 1.71360631 8e+06 7106.33152
## 858 0.12706354 1.09 1.09 0.2 0.125 1.61355045 8e+06 7076.22530
## 859 0.13489174 1.09 1.09 0.2 0.125 1.71590969 8e+06 7107.11832
## 860 0.12911785 1.09 1.09 0.2 0.125 1.86547535 8e+06 7114.85817
## 861 0.12429057 1.09 1.09 0.2 0.125 1.92085082 8e+06 7134.08808
## 862 0.12278966 1.09 1.09 0.2 0.125 1.88721417 8e+06 7201.64446
## 863 0.13047337 1.09 1.09 0.2 0.125 2.11667781 8e+06 7255.30253
## 864 0.12949887 1.09 1.09 0.2 0.125 2.18786030 8e+06 7271.37815
## 865 0.11955815 1.09 1.09 0.2 0.125 2.09281393 8e+06 7248.83393
## 866 0.11852699 1.09 1.09 0.2 0.125 2.19466508 8e+06 7225.25669
## 867 0.11824612 1.09 1.09 0.2 0.125 2.20492062 8e+06 7203.40129
## 868 0.11423846 1.09 1.09 0.2 0.125 2.22513168 8e+06 7184.73994
## 869 0.11110724 1.09 1.09 0.2 0.125 2.39145085 8e+06 7203.08389
## 870 0.11001610 1.09 1.09 0.2 0.125 2.35797229 8e+06 7088.49258
## 871 0.11153149 1.09 1.09 0.2 0.125 2.39170542 8e+06 7091.17481
## 872 0.11554292 1.09 1.09 0.2 0.125 2.70599743 8e+06 7190.38528
## 873 0.12173946 1.09 1.09 0.2 0.125 2.77034772 8e+06 7241.66572
## 874 0.12573262 1.09 1.09 0.2 0.125 3.01569501 8e+06 7305.63080
## 875 0.12335807 1.09 1.09 0.2 0.125 3.04845189 8e+06 7263.29195
## 876 0.12076975 1.09 1.09 0.2 0.125 2.88475181 8e+06 7275.15724
## 877 0.12098145 1.09 1.09 0.2 0.125 2.79381887 8e+06 7332.56295
## 878 0.12140993 1.09 1.09 0.2 0.125 3.00978782 8e+06 7321.01182
## 879 0.12460531 1.09 1.09 0.2 0.125 3.32003812 8e+06 7430.32620
## 880 0.12642067 1.09 1.09 0.2 0.125 4.07333113 8e+06 7459.90426
## 881 0.10939127 1.09 1.09 0.2 0.125 3.99617210 8e+06 7251.51795
## 882 0.11009669 1.09 1.09 0.2 0.125 4.02596026 8e+06 7341.12146
## 883 0.11099064 1.09 1.09 0.2 0.125 4.13388569 8e+06 7461.00676
## 884 0.11844786 1.09 1.09 0.2 0.125 3.79545139 8e+06 7462.11319
## 885 0.11844786 1.09 1.09 0.2 0.125 3.79545139 8e+06 7462.11319
## 886 0.12086203 1.09 1.09 0.2 0.125 3.80824915 8e+06 7500.29617
## 887 0.11832412 1.09 1.09 0.2 0.125 3.97902496 8e+06 7503.11182
## 888 0.11992216 1.09 1.09 0.2 0.125 3.82958030 8e+06 7469.69512
## 889 0.11872391 1.09 1.09 0.2 0.125 4.08806255 8e+06 7454.45793
## 890 0.11111541 1.09 1.09 0.2 0.125 4.05337658 8e+06 7473.37366
## 891 0.11635777 1.09 1.09 0.2 0.125 4.15819692 8e+06 7509.20165
## 892 0.11193631 1.09 1.09 0.2 0.125 4.52857060 8e+06 7577.27526
## 893 0.11135362 1.09 1.09 0.2 0.125 4.96438345 8e+06 7525.49020
## 894 0.11332354 1.09 1.09 0.2 0.125 4.65901341 8e+06 7644.37825
## 895 0.12084941 1.09 1.09 0.2 0.125 4.41720628 8e+06 7676.77931
## 896 0.11408390 1.09 1.09 0.2 0.125 4.43483447 8e+06 7616.64562
## 897 0.11551441 1.09 1.09 0.2 0.125 4.31115487 8e+06 7675.37856
## 898 0.11737744 1.09 1.09 0.2 0.125 4.03216001 8e+06 7652.16843
## 899 0.11338837 1.09 1.09 0.2 0.125 4.21063478 8e+06 7604.95647
## 900 0.11289513 1.09 1.09 0.2 0.125 4.36273436 8e+06 7638.68324
## 901 0.11890769 1.09 1.09 0.2 0.125 4.53230809 8e+06 7683.65047
## 902 0.12222179 1.09 1.09 0.2 0.125 5.19546858 8e+06 7716.50173
## 903 0.11311473 1.09 1.09 0.2 0.125 5.63473540 8e+06 7707.24998
## 904 0.12098377 1.09 1.09 0.2 0.125 5.76495631 8e+06 7744.60366
## 905 0.11707932 1.09 1.09 0.2 0.125 6.20366470 8e+06 7818.98697
## 906 0.11336099 1.09 1.09 0.2 0.125 6.71867286 8e+06 7904.49040
## 907 0.11918909 1.09 1.09 0.2 0.125 6.44479880 8e+06 7965.97085
## 908 0.11971335 1.09 1.09 0.2 0.125 6.40884687 8e+06 8016.94691
## 909 0.11938632 1.09 1.09 0.2 0.125 6.50999873 8e+06 8017.69046
## 910 0.11450387 1.09 1.09 0.2 0.125 6.56772857 8e+06 8035.29373
## 911 0.11573379 1.09 1.09 0.2 0.125 6.54469259 8e+06 8044.60533
## 912 0.12515628 1.09 1.09 0.2 0.125 6.22136557 8e+06 8156.31941
## 913 0.12532064 1.09 1.09 0.2 0.125 6.15124665 8e+06 8247.73116
## 914 0.12109397 1.09 1.09 0.2 0.125 5.99401291 8e+06 8298.28328
## 915 0.12277333 1.09 1.09 0.2 0.125 5.84006877 8e+06 8376.91472
## 916 0.12472681 1.09 1.09 0.2 0.125 5.65253484 8e+06 8606.04393
## 917 0.12901875 1.09 1.09 0.2 0.125 5.43333650 8e+06 8759.99018
## 918 0.12713249 1.09 1.09 0.2 0.125 5.42940171 8e+06 8792.24410
## 919 0.12436987 1.09 1.09 0.2 0.125 5.33827638 8e+06 8852.02988
## 920 0.12660048 1.09 1.09 0.2 0.125 5.44576574 8e+06 8824.82024
## 921 0.12584152 1.09 1.09 0.2 0.125 5.58165267 8e+06 8791.64667
## 922 0.12332177 1.09 1.09 0.2 0.125 5.70474658 8e+06 8755.54732
## 923 0.12811056 1.09 1.09 0.2 0.125 5.77599002 8e+06 8745.26361
## 924 0.12701860 1.09 1.09 0.2 0.125 5.43754695 8e+06 8721.91850
## 925 0.12829514 1.09 1.09 0.2 0.125 5.60474844 8e+06 8807.50415
## 926 0.12941484 1.09 1.09 0.2 0.125 5.96273963 8e+06 8918.36226
## 927 0.13291719 1.09 1.09 0.2 0.125 6.16498179 8e+06 9007.07468
## 928 0.13558089 1.09 1.09 0.2 0.125 5.98776815 8e+06 9091.15797
## 929 0.12640663 1.09 1.09 0.2 0.125 6.50911812 8e+06 9168.12556
## 930 0.12383559 1.09 1.09 0.2 0.125 7.20124019 8e+06 9159.18417
## 931 0.12399290 1.09 1.09 0.2 0.125 7.48422994 8e+06 9271.55564
## 932 0.12704458 1.09 1.09 0.2 0.125 7.00237111 8e+06 9425.01474
## 933 0.13306795 1.09 1.09 0.2 0.125 7.17805028 8e+06 9601.30352
## 934 0.13207473 1.09 1.09 0.2 0.125 7.46569397 8e+06 9727.70519
## 935 0.13626971 1.09 1.09 0.2 0.125 8.16297194 8e+06 9743.44114
## 936 0.13626971 1.09 1.09 0.2 0.125 8.16297194 8e+06 9743.44114
## 937 0.13153204 1.09 1.09 0.2 0.125 0.60094582 8e+06 13049.66508
## 938 0.13153204 1.09 1.09 0.2 0.125 0.60094582 8e+06 13049.66508
## 939 0.12012000 1.09 1.09 0.2 0.125 0.58311204 8e+06 12984.47032
## 940 0.09868734 1.09 1.09 0.2 0.125 0.56880520 8e+06 13402.65927
## 941 0.09987824 1.09 1.09 0.2 0.125 0.67064880 8e+06 13657.15037
## 942 0.10226403 1.09 1.09 0.2 0.125 0.72221496 8e+06 13652.36301
## 943 0.10514035 1.09 1.09 0.2 0.125 0.82534752 8e+06 13549.39726
## 944 0.09998387 1.09 1.09 0.2 0.125 0.92881905 8e+06 13571.40060
## 945 0.10136049 1.09 1.09 0.2 0.125 1.01264941 8e+06 13550.42779
## 946 0.10772458 1.09 1.09 0.2 0.125 1.17560556 8e+06 13587.15064
## 947 0.11083322 1.09 1.09 0.2 0.125 1.34486832 8e+06 13605.32854
## 948 0.11240418 1.09 1.09 0.2 0.125 1.44988775 8e+06 13513.18792
## 949 0.11776284 1.09 1.09 0.2 0.125 1.53639628 8e+06 13231.76823
## 950 0.12474377 1.09 1.09 0.2 0.125 1.50337508 8e+06 13251.34957
## 951 0.13174310 1.09 1.09 0.2 0.125 1.65689154 8e+06 13230.01331
## 952 0.13681322 1.09 1.09 0.2 0.125 1.69910337 8e+06 13338.03589
## 953 0.13499225 1.09 1.09 0.2 0.125 1.73976199 8e+06 13371.31147
## 954 0.13914391 1.09 1.09 0.2 0.125 1.79236132 8e+06 13438.28765
## 955 0.13788200 1.09 1.09 0.2 0.125 1.82362744 8e+06 13661.50706
## 956 0.13844716 1.09 1.09 0.2 0.125 2.92051129 8e+06 13492.75286
## 957 0.14113502 1.09 1.09 0.2 0.125 3.16462549 8e+06 13443.49320
## 958 0.13921835 1.09 1.09 0.2 0.125 2.94431414 8e+06 13469.77442
## 959 0.13558541 1.09 1.09 0.2 0.125 3.11392674 8e+06 13474.35565
## 960 0.13697320 1.09 1.09 0.2 0.125 3.46209501 8e+06 13471.99578
## 961 0.13107367 1.09 1.09 0.2 0.125 3.70013777 8e+06 13510.28597
## 962 0.13585964 1.09 1.09 0.2 0.125 3.91199417 8e+06 13585.70506
## 963 0.13381538 1.09 1.09 0.2 0.125 3.94820457 8e+06 13532.62623
## 964 0.13853016 1.09 1.09 0.2 0.125 4.08525081 8e+06 13466.88327
## 965 0.13698931 1.09 1.09 0.2 0.125 4.26157700 8e+06 13406.50926
## 966 0.13836976 1.09 1.09 0.2 0.125 4.30731609 8e+06 13688.81753
## 967 0.13964624 1.09 1.09 0.2 0.125 4.28003553 8e+06 13740.31011
## 968 0.13470895 1.09 1.09 0.2 0.125 3.66355574 8e+06 13857.85229
## 969 0.12966797 1.09 1.09 0.2 0.125 3.76681475 8e+06 13798.65324
## 970 0.12556806 1.09 1.09 0.2 0.125 4.07331791 8e+06 13815.15547
## 971 0.13306128 1.09 1.09 0.2 0.125 4.20316358 8e+06 13958.53859
## 972 0.13809373 1.09 1.09 0.2 0.125 4.44527382 8e+06 14097.38409
## 973 0.13710310 1.09 1.09 0.2 0.125 4.04506439 8e+06 14203.85332
## 974 0.13526673 1.09 1.09 0.2 0.125 4.16916409 8e+06 14298.25963
## 975 0.13531136 1.09 1.09 0.2 0.125 4.40036803 8e+06 14337.20051
## 976 0.13971566 1.09 1.09 0.2 0.125 4.60538695 8e+06 14396.35988
## 977 0.14425913 1.09 1.09 0.2 0.125 4.59205516 8e+06 14629.31197
## 978 0.13884154 1.09 1.09 0.2 0.125 4.66487226 8e+06 14931.97647
## 979 0.13980529 1.09 1.09 0.2 0.125 4.65524372 8e+06 14900.29389
## 980 0.14014941 1.09 1.09 0.2 0.125 4.71381472 8e+06 15033.38664
## 981 0.14119270 1.09 1.09 0.2 0.125 4.64959662 8e+06 15241.53611
## 982 0.14065516 1.09 1.09 0.2 0.125 5.10185567 8e+06 15570.83825
## 983 0.14118178 1.09 1.09 0.2 0.125 5.37162365 8e+06 15882.84809
## 984 0.14064847 1.09 1.09 0.2 0.125 5.58546452 8e+06 16014.05413
## 985 0.13785545 1.09 1.09 0.2 0.125 5.73785419 8e+06 16103.56782
## 986 0.13635782 1.09 1.09 0.2 0.125 5.89783179 8e+06 16177.50535
## 987 0.14077553 1.09 1.09 0.2 0.125 5.96436196 8e+06 16199.81878
## 988 0.14137748 1.09 1.09 0.2 0.125 6.34696431 8e+06 16240.23938
## 989 0.14137748 1.09 1.09 0.2 0.125 6.34696431 8e+06 16240.23938
## 990 0.14500680 1.09 1.09 0.2 0.125 6.31967177 8e+06 16276.25506
## 991 0.14530066 1.09 1.09 0.2 0.125 6.45385284 8e+06 16224.93879
## 992 0.15057890 1.09 1.09 0.2 0.125 6.33720236 8e+06 16267.10746
## 993 0.14806758 1.09 1.09 0.2 0.125 6.24053971 8e+06 16449.24697
## 994 0.14288271 1.09 1.09 0.2 0.125 6.12269408 8e+06 16423.61298
## 995 0.14370126 1.09 1.09 0.2 0.125 5.40074928 8e+06 16775.86746
## 996 0.14472099 1.09 1.09 0.2 0.125 5.44342882 8e+06 17141.77583
## 997 0.13768794 1.09 1.09 0.2 0.125 5.30837104 8e+06 17347.98281
## 998 0.14241159 1.09 1.09 0.2 0.125 3.75525979 8e+06 17809.12803
## 999 0.14184004 1.09 1.09 0.2 0.125 3.27874429 8e+06 18097.60231
## 1000 0.12870915 1.09 1.09 0.2 0.125 2.35541056 8e+06 17977.64641
## 1001 0.13688699 1.09 1.09 0.2 0.125 2.39652394 8e+06 18266.45324
## 1002 0.14953248 1.09 1.09 0.2 0.125 2.61091556 8e+06 19223.24651
## 1003 0.14849273 1.09 1.09 0.2 0.125 2.62952396 8e+06 19576.57109
## 1004 0.15343061 1.09 1.09 0.2 0.125 2.50932480 8e+06 20231.34285
## 1005 0.15805109 1.09 1.09 0.2 0.125 2.34752620 8e+06 20841.50659
## 1006 0.16303470 1.09 1.09 0.2 0.125 2.30037051 8e+06 20954.65331
## 1007 0.16624457 1.09 1.09 0.2 0.125 2.37770962 8e+06 21094.51353
## 1008 0.16096907 1.09 1.09 0.2 0.125 2.67637453 8e+06 21219.37250
## 1009 0.16135369 1.09 1.09 0.2 0.125 2.68441985 8e+06 21570.36247
## 1010 0.16807867 1.09 1.09 0.2 0.125 2.52976531 8e+06 21618.33115
## 1011 0.16848751 1.09 1.09 0.2 0.125 2.39116607 8e+06 21615.42371
## 1012 0.16559465 1.09 1.09 0.2 0.125 2.51682741 8e+06 21604.37724
## 1013 0.16724599 1.09 1.09 0.2 0.125 2.78220425 8e+06 21512.40940
## 1014 0.16606644 1.09 1.09 0.2 0.125 2.68647467 8e+06 21773.77355
## 1015 0.16613374 1.09 1.09 0.2 0.125 3.00065409 8e+06 21684.18020
## 1016 0.16307720 1.09 1.09 0.2 0.125 2.92204980 8e+06 21734.57876
## 1017 0.16450657 1.09 1.09 0.2 0.125 3.04787357 8e+06 21837.59404
## 1018 0.16346478 1.09 1.09 0.2 0.125 3.21892663 8e+06 21972.44379
## 1019 0.16169030 1.09 1.09 0.2 0.125 3.79668344 8e+06 22057.72034
## 1020 0.15657782 1.09 1.09 0.2 0.125 4.17967291 8e+06 22106.77798
## 1021 0.15783094 1.09 1.09 0.2 0.125 4.50020318 8e+06 22069.51256
## 1022 0.15358521 1.09 1.09 0.2 0.125 4.47565881 8e+06 22138.97963
## 1023 0.15835779 1.09 1.09 0.2 0.125 4.61597838 8e+06 22315.86761
## 1024 0.15786362 1.09 1.09 0.2 0.125 4.77286109 8e+06 22513.73450
## 1025 0.16331323 1.09 1.09 0.2 0.125 5.06961876 8e+06 22539.73180
## 1026 0.16114193 1.09 1.09 0.2 0.125 4.73679632 8e+06 22707.40235
## 1027 0.17086579 1.09 1.09 0.2 0.125 5.33114950 8e+06 22364.89636
## 1028 0.16116292 1.09 1.09 0.2 0.125 4.99630600 8e+06 22696.71556
## 1029 0.16810624 1.09 1.09 0.2 0.125 5.25235497 8e+06 22764.79044
## 1030 0.17042751 1.09 1.09 0.2 0.125 5.35742384 8e+06 22968.72376
## 1031 0.17131204 1.09 1.09 0.2 0.125 4.96926357 8e+06 23129.10305
## 1032 0.17057810 1.09 1.09 0.2 0.125 4.74735955 8e+06 23169.31501
## 1033 0.16810304 1.09 1.09 0.2 0.125 4.56260048 8e+06 23172.02673
## 1034 0.16843512 1.09 1.09 0.2 0.125 4.75987646 8e+06 23447.61418
## 1035 0.16923469 1.09 1.09 0.2 0.125 5.36504071 8e+06 23769.32675
## 1036 0.17137422 1.09 1.09 0.2 0.125 5.41401029 8e+06 23954.23232
## 1037 0.17128387 1.09 1.09 0.2 0.125 5.56986846 8e+06 23973.43146
## 1038 0.16957483 1.09 1.09 0.2 0.125 5.02211812 8e+06 23809.18782
## 1039 0.16626051 1.09 1.09 0.2 0.125 4.45443841 8e+06 23858.67531
## 1040 0.16626051 1.09 1.09 0.2 0.125 4.45443841 8e+06 23858.67531
## 1041 0.30920532 1.09 1.09 0.2 0.125 0.54021871 8e+06 17365.45566
## 1042 0.30920532 1.09 1.09 0.2 0.125 0.54021871 8e+06 17365.45566
## 1043 0.36730117 1.09 1.09 0.2 0.125 0.57544388 8e+06 17458.01154
## 1044 0.36305098 1.09 1.09 0.2 0.125 0.45613087 8e+06 17740.78690
## 1045 0.27748378 1.09 1.09 0.2 0.125 0.46441349 8e+06 17581.75082
## 1046 0.22399223 1.09 1.09 0.2 0.125 0.43914253 8e+06 17515.86706
## 1047 0.16757306 1.09 1.09 0.2 0.125 0.43329370 8e+06 17526.26022
## 1048 0.13034487 1.09 1.09 0.2 0.125 0.43390231 8e+06 17701.83570
## 1049 0.11056641 1.09 1.09 0.2 0.125 0.52572204 8e+06 17380.77122
## 1050 0.10968035 1.09 1.09 0.2 0.125 0.61024735 8e+06 17477.99431
## 1051 0.10375485 1.09 1.09 0.2 0.125 0.76090561 8e+06 17663.99331
## 1052 0.10460518 1.09 1.09 0.2 0.125 0.85123523 8e+06 17626.68891
## 1053 0.10501872 1.09 1.09 0.2 0.125 0.93768536 8e+06 17877.08352
## 1054 0.11391785 1.09 1.09 0.2 0.125 1.00614375 8e+06 18344.87593
## 1055 0.11288387 1.09 1.09 0.2 0.125 1.07663202 8e+06 18567.87129
## 1056 0.11522697 1.09 1.09 0.2 0.125 1.14775053 8e+06 18628.95529
## 1057 0.11963408 1.09 1.09 0.2 0.125 1.21812168 8e+06 18485.84125
## 1058 0.12013076 1.09 1.09 0.2 0.125 1.53105578 8e+06 18492.34849
## 1059 0.11130549 1.09 1.09 0.2 0.125 1.76133626 8e+06 18668.84962
## 1060 0.11376667 1.09 1.09 0.2 0.125 2.07566622 8e+06 18672.54526
## 1061 0.12001407 1.09 1.09 0.2 0.125 2.08040496 8e+06 18952.56206
## 1062 0.12103949 1.09 1.09 0.2 0.125 2.18570225 8e+06 18974.09313
## 1063 0.12508844 1.09 1.09 0.2 0.125 2.21130932 8e+06 18777.53394
## 1064 0.12750380 1.09 1.09 0.2 0.125 2.79305590 8e+06 18941.28379
## 1065 0.13251157 1.09 1.09 0.2 0.125 2.94283338 8e+06 19218.22881
## 1066 0.13075928 1.09 1.09 0.2 0.125 2.82701062 8e+06 19381.96588
## 1067 0.12363982 1.09 1.09 0.2 0.125 2.52931053 8e+06 19544.18408
## 1068 0.12817253 1.09 1.09 0.2 0.125 2.43708826 8e+06 19714.93868
## 1069 0.12977541 1.09 1.09 0.2 0.125 2.30667355 8e+06 19764.28564
## 1070 0.13477556 1.09 1.09 0.2 0.125 2.55751106 8e+06 20053.62393
## 1071 0.13245847 1.09 1.09 0.2 0.125 2.56094789 8e+06 20096.23372
## 1072 0.13393300 1.09 1.09 0.2 0.125 2.59519304 8e+06 19930.17179
## 1073 0.13404269 1.09 1.09 0.2 0.125 2.72196145 8e+06 19929.92152
## 1074 0.13094586 1.09 1.09 0.2 0.125 2.67982702 8e+06 20061.76329
## 1075 0.13002245 1.09 1.09 0.2 0.125 2.69454936 8e+06 20098.40495
## 1076 0.13338879 1.09 1.09 0.2 0.125 2.88062385 8e+06 20140.34745
## 1077 0.13627467 1.09 1.09 0.2 0.125 2.76410858 8e+06 20614.42431
## 1078 0.13442656 1.09 1.09 0.2 0.125 2.84128990 8e+06 20794.81420
## 1079 0.13866140 1.09 1.09 0.2 0.125 2.94807728 8e+06 21035.77133
## 1080 0.14070180 1.09 1.09 0.2 0.125 3.17879389 8e+06 20953.03956
## 1081 0.13692869 1.09 1.09 0.2 0.125 3.20181515 8e+06 20990.73577
## 1082 0.13266812 1.09 1.09 0.2 0.125 3.60826911 8e+06 21143.32546
## 1083 0.13439366 1.09 1.09 0.2 0.125 3.71096082 8e+06 21297.33177
## 1084 0.13551896 1.09 1.09 0.2 0.125 4.03060739 8e+06 21522.45976
## 1085 0.13564780 1.09 1.09 0.2 0.125 3.60301672 8e+06 21744.80849
## 1086 0.13465257 1.09 1.09 0.2 0.125 3.34013817 8e+06 22000.11910
## 1087 0.13433211 1.09 1.09 0.2 0.125 3.19481480 8e+06 22047.90585
## 1088 0.13622147 1.09 1.09 0.2 0.125 3.00546441 8e+06 22063.73406
## 1089 0.13612812 1.09 1.09 0.2 0.125 2.95481317 8e+06 22120.21881
## 1090 0.13656861 1.09 1.09 0.2 0.125 2.97140940 8e+06 22116.15089
## 1091 0.13976728 1.09 1.09 0.2 0.125 2.97549211 8e+06 22071.52961
## 1092 0.13979673 1.09 1.09 0.2 0.125 3.21080912 8e+06 22063.17688
## 1093 0.13979673 1.09 1.09 0.2 0.125 3.21080912 8e+06 22063.17688
## 1094 0.14074353 1.09 1.09 0.2 0.125 3.18231994 8e+06 22078.68620
## 1095 0.14005525 1.09 1.09 0.2 0.125 3.17551488 8e+06 22065.68204
## 1096 0.14935716 1.09 1.09 0.2 0.125 3.21665889 8e+06 22186.88689
## 1097 0.14682827 1.09 1.09 0.2 0.125 3.30526842 8e+06 22266.73295
## 1098 0.14703348 1.09 1.09 0.2 0.125 3.78105064 8e+06 22123.65628
## 1099 0.14124485 1.09 1.09 0.2 0.125 3.60286496 8e+06 22267.23626
## 1100 0.13957584 1.09 1.09 0.2 0.125 3.86723126 8e+06 22477.21897
## 1101 0.14069949 1.09 1.09 0.2 0.125 4.54568886 8e+06 22480.52986
## 1102 0.14433439 1.09 1.09 0.2 0.125 4.89626450 8e+06 22749.05961
## 1103 0.14309039 1.09 1.09 0.2 0.125 5.35893036 8e+06 22962.46352
## 1104 0.14856874 1.09 1.09 0.2 0.125 4.67654178 8e+06 23039.52627
## 1105 0.14696118 1.09 1.09 0.2 0.125 4.74673477 8e+06 23027.36569
## 1106 0.13998299 1.09 1.09 0.2 0.125 5.59054962 8e+06 23322.81438
## 1107 0.13621628 1.09 1.09 0.2 0.125 6.49383781 8e+06 23323.70350
## 1108 0.13545684 1.09 1.09 0.2 0.125 6.53764985 8e+06 23360.23049
## 1109 0.13864996 1.09 1.09 0.2 0.125 6.78381516 8e+06 23453.09531
## 1110 0.13256231 1.09 1.09 0.2 0.125 6.49804011 8e+06 23544.82279
## 1111 0.13552437 1.09 1.09 0.2 0.125 6.63294959 8e+06 23352.23037
## 1112 0.13942091 1.09 1.09 0.2 0.125 6.87467922 8e+06 23297.64892
## 1113 0.13691465 1.09 1.09 0.2 0.125 7.50222196 8e+06 23192.77988
## 1114 0.13799654 1.09 1.09 0.2 0.125 7.90011630 8e+06 23312.56567
## 1115 0.13884857 1.09 1.09 0.2 0.125 8.40482298 8e+06 23546.33958
## 1116 0.13422151 1.09 1.09 0.2 0.125 8.94198557 8e+06 23974.85782
## 1117 0.13675004 1.09 1.09 0.2 0.125 9.77355967 8e+06 23955.90790
## 1118 0.13996271 1.09 1.09 0.2 0.125 9.25772642 8e+06 23927.60112
## 1119 0.13283818 1.09 1.09 0.2 0.125 9.70116337 8e+06 24319.43118
## 1120 0.13442286 1.09 1.09 0.2 0.125 10.28452769 8e+06 24251.79533
## 1121 0.14002414 1.09 1.09 0.2 0.125 10.39467625 8e+06 24904.18604
## 1122 0.13250280 1.09 1.09 0.2 0.125 10.34636423 8e+06 25579.24624
## 1123 0.13688715 1.09 1.09 0.2 0.125 10.21872945 8e+06 25695.88947
## 1124 0.13835463 1.09 1.09 0.2 0.125 10.83195026 8e+06 26724.72594
## 1125 0.13853395 1.09 1.09 0.2 0.125 10.33543601 8e+06 26588.59054
## 1126 0.14362954 1.09 1.09 0.2 0.125 10.47175803 8e+06 26930.22050
## 1127 0.14870273 1.09 1.09 0.2 0.125 10.94652587 8e+06 27049.45072
## 1128 0.14959798 1.09 1.09 0.2 0.125 11.19790545 8e+06 27391.14302
## 1129 0.14678283 1.09 1.09 0.2 0.125 12.21568070 8e+06 27542.29162
## 1130 0.14761488 1.09 1.09 0.2 0.125 13.71463735 8e+06 27776.10144
## 1131 0.15039746 1.09 1.09 0.2 0.125 15.02378078 8e+06 28742.77656
## 1132 0.15276246 1.09 1.09 0.2 0.125 16.92659192 8e+06 28895.25269
## 1133 0.15487229 1.09 1.09 0.2 0.125 19.77436794 8e+06 28969.03819
## 1134 0.15651607 1.09 1.09 0.2 0.125 22.16360527 8e+06 29404.65076
## 1135 0.15641410 1.09 1.09 0.2 0.125 22.93520634 8e+06 29547.74246
## 1136 0.15701263 1.09 1.09 0.2 0.125 24.77208057 8e+06 29843.11088
## 1137 0.15611428 1.09 1.09 0.2 0.125 24.39504941 8e+06 29792.69184
## 1138 0.15107764 1.09 1.09 0.2 0.125 24.10244422 8e+06 29757.85188
## 1139 0.14575532 1.09 1.09 0.2 0.125 25.36045847 8e+06 29780.70847
## 1140 0.14795867 1.09 1.09 0.2 0.125 27.91166345 8e+06 29980.50370
## 1141 0.15067820 1.09 1.09 0.2 0.125 29.96405148 8e+06 30030.21111
## 1142 0.15454195 1.09 1.09 0.2 0.125 29.75196175 8e+06 30252.78352
## 1143 0.15787720 1.09 1.09 0.2 0.125 31.31967268 8e+06 30356.10011
## 1144 0.15787720 1.09 1.09 0.2 0.125 31.31967268 8e+06 30356.10011
## 1145 0.28391686 1.09 1.09 0.2 0.125 0.47288786 8e+06 13775.84341
## 1146 0.28391686 1.09 1.09 0.2 0.125 0.47288786 8e+06 13775.84341
## 1147 0.22614357 1.09 1.09 0.2 0.125 0.32899438 8e+06 13681.82416
## 1148 0.23089055 1.09 1.09 0.2 0.125 0.32537008 8e+06 13913.84873
## 1149 0.27066939 1.09 1.09 0.2 0.125 0.30779612 8e+06 13597.27761
## 1150 0.28113927 1.09 1.09 0.2 0.125 0.25680248 8e+06 14776.99535
## 1151 0.40277902 1.09 1.09 0.2 0.125 0.23248993 8e+06 14939.52883
## 1152 0.36653608 1.09 1.09 0.2 0.125 0.27452685 8e+06 14581.80944
## 1153 0.39644811 1.09 1.09 0.2 0.125 0.26578869 8e+06 14749.72413
## 1154 0.43692556 1.09 1.09 0.2 0.125 0.22266554 8e+06 14791.14160
## 1155 0.48365097 1.09 1.09 0.2 0.125 0.25704461 8e+06 14822.80949
## 1156 0.50201994 1.09 1.09 0.2 0.125 0.27257739 8e+06 15652.04052
## 1157 0.46774812 1.09 1.09 0.2 0.125 0.28471500 8e+06 15850.43337
## 1158 0.45098303 1.09 1.09 0.2 0.125 0.31601966 8e+06 16005.21365
## 1159 0.42923900 1.09 1.09 0.2 0.125 0.37551417 8e+06 15859.37277
## 1160 0.37889131 1.09 1.09 0.2 0.125 0.44005500 8e+06 15575.92243
## 1161 0.37324793 1.09 1.09 0.2 0.125 0.46336524 8e+06 15369.57713
## 1162 0.35020276 1.09 1.09 0.2 0.125 0.48716105 8e+06 15188.31119
## 1163 0.33041137 1.09 1.09 0.2 0.125 0.67824554 8e+06 15188.94193
## 1164 0.33013057 1.09 1.09 0.2 0.125 0.75733534 8e+06 15142.17295
## 1165 0.32786515 1.09 1.09 0.2 0.125 0.76262807 8e+06 14446.14391
## 1166 0.32394772 1.09 1.09 0.2 0.125 0.80769009 8e+06 14128.39792
## 1167 0.31951448 1.09 1.09 0.2 0.125 0.95592122 8e+06 14066.75568
## 1168 0.32826420 1.09 1.09 0.2 0.125 1.07225382 8e+06 13956.50029
## 1169 0.32128001 1.09 1.09 0.2 0.125 1.11073347 8e+06 13792.26788
## 1170 0.33240683 1.09 1.09 0.2 0.125 1.17974625 8e+06 13562.81673
## 1171 0.32643852 1.09 1.09 0.2 0.125 1.21595011 8e+06 13441.62850
## 1172 0.31040080 1.09 1.09 0.2 0.125 1.20983828 8e+06 13312.81401
## 1173 0.32199066 1.09 1.09 0.2 0.125 1.11348820 8e+06 12991.68084
## 1174 0.33653610 1.09 1.09 0.2 0.125 1.16762244 8e+06 12852.23907
## 1175 0.33422062 1.09 1.09 0.2 0.125 1.38998679 8e+06 12784.12288
## 1176 0.34390750 1.09 1.09 0.2 0.125 1.44095930 8e+06 12735.37219
## 1177 0.32654668 1.09 1.09 0.2 0.125 1.54942023 8e+06 12730.44532
## 1178 0.31691578 1.09 1.09 0.2 0.125 1.72941167 8e+06 12855.40080
## 1179 0.31577239 1.09 1.09 0.2 0.125 1.88013580 8e+06 12981.67894
## 1180 0.32214770 1.09 1.09 0.2 0.125 2.08600925 8e+06 12790.85802
## 1181 0.32405717 1.09 1.09 0.2 0.125 2.20729958 8e+06 12887.11806
## 1182 0.32737229 1.09 1.09 0.2 0.125 2.23511178 8e+06 12776.70794
## 1183 0.33282328 1.09 1.09 0.2 0.125 2.25065561 8e+06 12635.06443
## 1184 0.32814674 1.09 1.09 0.2 0.125 2.26934949 8e+06 12379.53109
## 1185 0.32549044 1.09 1.09 0.2 0.125 2.41361162 8e+06 12308.82620
## 1186 0.31651508 1.09 1.09 0.2 0.125 2.55056512 8e+06 12350.76570
## 1187 0.31674881 1.09 1.09 0.2 0.125 2.52362510 8e+06 12385.06104
## 1188 0.32591122 1.09 1.09 0.2 0.125 2.68801808 8e+06 12223.34381
## 1189 0.33156974 1.09 1.09 0.2 0.125 2.66887806 8e+06 12137.14377
## 1190 0.33689325 1.09 1.09 0.2 0.125 2.91195168 8e+06 12142.57860
## 1191 0.32403171 1.09 1.09 0.2 0.125 3.14128475 8e+06 12026.32245
## 1192 0.32383407 1.09 1.09 0.2 0.125 3.30618153 8e+06 11980.57912
## 1193 0.32572870 1.09 1.09 0.2 0.125 3.37097485 8e+06 12049.90010
## 1194 0.32842995 1.09 1.09 0.2 0.125 3.50554742 8e+06 12017.09473
## 1195 0.32266934 1.09 1.09 0.2 0.125 3.62461769 8e+06 11863.17222
## 1196 0.33046590 1.09 1.09 0.2 0.125 3.54556270 8e+06 11702.93042
## 1197 0.33046590 1.09 1.09 0.2 0.125 3.54556270 8e+06 11702.93042
## 1198 0.32310873 1.09 1.09 0.2 0.125 3.50756711 8e+06 11663.68969
## 1199 0.33202565 1.09 1.09 0.2 0.125 3.55358921 8e+06 11744.48469
## 1200 0.32538443 1.09 1.09 0.2 0.125 3.42442463 8e+06 11734.83142
## 1201 0.32130357 1.09 1.09 0.2 0.125 3.30107798 8e+06 11652.20391
## 1202 0.31698282 1.09 1.09 0.2 0.125 3.32753503 8e+06 11796.46689
## 1203 0.31750595 1.09 1.09 0.2 0.125 3.34286492 8e+06 11871.45704
## 1204 0.31958702 1.09 1.09 0.2 0.125 2.70116213 8e+06 11743.19268
## 1205 0.31654607 1.09 1.09 0.2 0.125 2.88098370 8e+06 11696.71226
## 1206 0.32872871 1.09 1.09 0.2 0.125 2.87406117 8e+06 11630.03381
## 1207 0.32299432 1.09 1.09 0.2 0.125 3.52782787 8e+06 11425.10210
## 1208 0.32348312 1.09 1.09 0.2 0.125 3.85739322 8e+06 11263.33540
## 1209 0.32311946 1.09 1.09 0.2 0.125 3.89040424 8e+06 11090.00287
## 1210 0.32780095 1.09 1.09 0.2 0.125 4.49247691 8e+06 10917.82536
## 1211 0.33390076 1.09 1.09 0.2 0.125 4.00554346 8e+06 11133.19949
## 1212 0.32427526 1.09 1.09 0.2 0.125 4.64054358 8e+06 10857.37664
## 1213 0.32487192 1.09 1.09 0.2 0.125 5.01739983 8e+06 10617.96014
## 1214 0.32197991 1.09 1.09 0.2 0.125 5.88733873 8e+06 10384.79285
## 1215 0.33263372 1.09 1.09 0.2 0.125 7.71231397 8e+06 10132.22898
## 1216 0.31777935 1.09 1.09 0.2 0.125 6.96738724 8e+06 10216.34344
## 1217 0.30756839 1.09 1.09 0.2 0.125 9.29313669 8e+06 9980.23856
## 1218 0.31073529 1.09 1.09 0.2 0.125 10.06905282 8e+06 9912.31128
## 1219 0.31313499 1.09 1.09 0.2 0.125 11.74252498 8e+06 9882.64441
## 1220 0.31197128 1.09 1.09 0.2 0.125 12.21983502 8e+06 9743.51281
## 1221 0.30997913 1.09 1.09 0.2 0.125 13.91941249 8e+06 9644.58484
## 1222 0.31220877 1.09 1.09 0.2 0.125 12.56703962 8e+06 9606.14062
## 1223 0.31847678 1.09 1.09 0.2 0.125 10.74371592 8e+06 9425.73857
## 1224 0.31554974 1.09 1.09 0.2 0.125 9.54995086 8e+06 9354.86316
## 1225 0.30779442 1.09 1.09 0.2 0.125 9.37616359 8e+06 9494.61935
## 1226 0.30826152 1.09 1.09 0.2 0.125 8.98131389 8e+06 9355.86652
## 1227 0.30620662 1.09 1.09 0.2 0.125 8.03473358 8e+06 9240.36054
## 1228 0.30715056 1.09 1.09 0.2 0.125 8.03875535 8e+06 9279.34744
## 1229 0.31112685 1.09 1.09 0.2 0.125 7.57711555 8e+06 9289.39220
## 1230 0.31003160 1.09 1.09 0.2 0.125 7.02894683 8e+06 9188.05689
## 1231 0.30244153 1.09 1.09 0.2 0.125 6.52647274 8e+06 9156.56676
## 1232 0.29451981 1.09 1.09 0.2 0.125 5.88976489 8e+06 9076.75820
## 1233 0.29913747 1.09 1.09 0.2 0.125 5.38915607 8e+06 9077.57398
## 1234 0.30071919 1.09 1.09 0.2 0.125 5.51605897 8e+06 9016.11921
## 1235 0.29752115 1.09 1.09 0.2 0.125 5.22639701 8e+06 9067.38551
## 1236 0.30106697 1.09 1.09 0.2 0.125 5.39260153 8e+06 9029.10096
## 1237 0.30569650 1.09 1.09 0.2 0.125 5.44806776 8e+06 9059.72655
## 1238 0.30120589 1.09 1.09 0.2 0.125 5.87001973 8e+06 9049.74040
## 1239 0.29902656 1.09 1.09 0.2 0.125 5.78042281 8e+06 9107.98423
## 1240 0.30633465 1.09 1.09 0.2 0.125 6.36070988 8e+06 9062.19204
## 1241 0.30532584 1.09 1.09 0.2 0.125 6.52877905 8e+06 9008.00306
## 1242 0.30500299 1.09 1.09 0.2 0.125 6.70492130 8e+06 8996.50509
## 1243 0.30003482 1.09 1.09 0.2 0.125 6.80071008 8e+06 8987.32192
## 1244 0.29684034 1.09 1.09 0.2 0.125 6.62087448 8e+06 9007.60600
## 1245 0.29730044 1.09 1.09 0.2 0.125 6.98808639 8e+06 9005.54499
## 1246 0.29630736 1.09 1.09 0.2 0.125 7.07337332 8e+06 8967.32079
## 1247 0.29998504 1.09 1.09 0.2 0.125 7.57449368 8e+06 8967.86222
## 1248 0.29998504 1.09 1.09 0.2 0.125 7.57449368 8e+06 8967.86222
## 1249 0.19567191 1.09 1.09 0.2 0.125 0.93193392 8e+06 5693.42298
## 1250 0.19567191 1.09 1.09 0.2 0.125 0.93193392 8e+06 5693.42298
## 1251 0.21788493 1.09 1.09 0.2 0.125 1.00926608 8e+06 5634.24739
## 1252 0.20332199 1.09 1.09 0.2 0.125 1.01241607 8e+06 5641.55500
## 1253 0.19853907 1.09 1.09 0.2 0.125 0.97954670 8e+06 5669.21241
## 1254 0.17537893 1.09 1.09 0.2 0.125 1.10469780 8e+06 5694.11603
## 1255 0.15351653 1.09 1.09 0.2 0.125 1.07559351 8e+06 5709.10423
## 1256 0.08517469 1.09 1.09 0.2 0.125 1.68653822 8e+06 5718.64115
## 1257 0.04965111 1.09 1.09 0.2 0.125 2.18352748 8e+06 5801.27623
## 1258 0.04371369 1.09 1.09 0.2 0.125 2.47376725 8e+06 5962.96305
## 1259 0.04210655 1.09 1.09 0.2 0.125 2.62917029 8e+06 5937.56166
## 1260 0.03940598 1.09 1.09 0.2 0.125 2.42391708 8e+06 6046.07138
## 1261 0.03104685 1.09 1.09 0.2 0.125 2.14189275 8e+06 6064.07993
## 1262 0.03413743 1.09 1.09 0.2 0.125 2.10019066 8e+06 6046.24141
## 1263 0.03324705 1.09 1.09 0.2 0.125 2.82078709 8e+06 6072.73072
## 1264 0.03299021 1.09 1.09 0.2 0.125 2.93662255 8e+06 6291.61046
## 1265 0.03428533 1.09 1.09 0.2 0.125 2.32123908 8e+06 6300.24363
## 1266 0.03646789 1.09 1.09 0.2 0.125 2.61436241 8e+06 6331.98250
## 1267 0.04050643 1.09 1.09 0.2 0.125 3.11638264 8e+06 6360.17128
## 1268 0.04207481 1.09 1.09 0.2 0.125 3.41642219 8e+06 6274.44687
## 1269 0.04787362 1.09 1.09 0.2 0.125 3.43481953 8e+06 6245.32686
## 1270 0.05937982 1.09 1.09 0.2 0.125 3.45922250 8e+06 6055.24875
## 1271 0.04924763 1.09 1.09 0.2 0.125 4.55260669 8e+06 6088.29998
## 1272 0.05514675 1.09 1.09 0.2 0.125 4.47616964 8e+06 6108.05259
## 1273 0.06926485 1.09 1.09 0.2 0.125 5.58431030 8e+06 6182.10360
## 1274 0.06383324 1.09 1.09 0.2 0.125 5.04491417 8e+06 6245.33069
## 1275 0.07650726 1.09 1.09 0.2 0.125 5.96870049 8e+06 6260.11228
## 1276 0.08540750 1.09 1.09 0.2 0.125 5.41326767 8e+06 6285.61515
## 1277 0.09038694 1.09 1.09 0.2 0.125 5.03590870 8e+06 6370.20085
## 1278 0.09329588 1.09 1.09 0.2 0.125 5.45068831 8e+06 6474.40466
## 1279 0.10342421 1.09 1.09 0.2 0.125 5.09682544 8e+06 6539.39663
## 1280 0.12483752 1.09 1.09 0.2 0.125 6.08302832 8e+06 6586.47966
## 1281 0.14321686 1.09 1.09 0.2 0.125 7.37403357 8e+06 6642.59276
## 1282 0.15534624 1.09 1.09 0.2 0.125 7.90414256 8e+06 6634.52458
## 1283 0.17747644 1.09 1.09 0.2 0.125 7.07043929 8e+06 6605.92921
## 1284 0.20412127 1.09 1.09 0.2 0.125 6.67090750 8e+06 6662.59489
## 1285 0.22605141 1.09 1.09 0.2 0.125 6.68592714 8e+06 6712.19130
## 1286 0.26234401 1.09 1.09 0.2 0.125 6.54594887 8e+06 6807.54844
## 1287 0.28591195 1.09 1.09 0.2 0.125 5.91454508 8e+06 6856.46010
## 1288 0.32468699 1.09 1.09 0.2 0.125 6.31983078 8e+06 6898.95331
## 1289 0.34146032 1.09 1.09 0.2 0.125 5.67106304 8e+06 6912.58413
## 1290 0.37248441 1.09 1.09 0.2 0.125 5.47817148 8e+06 6947.39933
## 1291 0.39062194 1.09 1.09 0.2 0.125 5.11969918 8e+06 6982.28274
## 1292 0.41905973 1.09 1.09 0.2 0.125 4.99974744 8e+06 6988.80369
## 1293 0.44310961 1.09 1.09 0.2 0.125 5.19812989 8e+06 6997.88306
## 1294 0.45207366 1.09 1.09 0.2 0.125 5.38043391 8e+06 7053.86919
## 1295 0.46968519 1.09 1.09 0.2 0.125 5.31310253 8e+06 7117.47337
## 1296 0.49147998 1.09 1.09 0.2 0.125 5.10572805 8e+06 7118.35741
## 1297 0.50616691 1.09 1.09 0.2 0.125 4.61717659 8e+06 7085.12404
## 1298 0.50918259 1.09 1.09 0.2 0.125 4.70732126 8e+06 7121.33700
## 1299 0.53317212 1.09 1.09 0.2 0.125 4.28135967 8e+06 7133.15466
## 1300 0.53259524 1.09 1.09 0.2 0.125 4.62105765 8e+06 7066.40864
## 1301 0.53259524 1.09 1.09 0.2 0.125 4.62105765 8e+06 7066.40864
## 1302 0.55494325 1.09 1.09 0.2 0.125 4.69129258 8e+06 7068.88866
## 1303 0.55038750 1.09 1.09 0.2 0.125 4.65754652 8e+06 7085.79553
## 1304 0.55455341 1.09 1.09 0.2 0.125 4.07967443 8e+06 7083.04087
## 1305 0.55515180 1.09 1.09 0.2 0.125 4.29861415 8e+06 7178.60871
## 1306 0.54688754 1.09 1.09 0.2 0.125 4.15357336 8e+06 7178.51654
## 1307 0.58449421 1.09 1.09 0.2 0.125 3.05824388 8e+06 7366.82612
## 1308 0.59202120 1.09 1.09 0.2 0.125 3.43519777 8e+06 7495.71684
## 1309 0.58456769 1.09 1.09 0.2 0.125 3.23435533 8e+06 7365.45855
## 1310 0.56933266 1.09 1.09 0.2 0.125 2.94686756 8e+06 7361.94711
## 1311 0.57442791 1.09 1.09 0.2 0.125 2.79199975 8e+06 7515.92938
## 1312 0.58808713 1.09 1.09 0.2 0.125 2.81876151 8e+06 7509.08770
## 1313 0.58503261 1.09 1.09 0.2 0.125 3.32189792 8e+06 7538.74786
## 1314 0.59921451 1.09 1.09 0.2 0.125 3.26316685 8e+06 7540.45307
## 1315 0.61037269 1.09 1.09 0.2 0.125 3.45867526 8e+06 7562.31474
## 1316 0.60784084 1.09 1.09 0.2 0.125 2.80753314 8e+06 7495.20056
## 1317 0.59321408 1.09 1.09 0.2 0.125 3.12841863 8e+06 7632.71880
## 1318 0.58023021 1.09 1.09 0.2 0.125 2.72301777 8e+06 7722.70399
## 1319 0.57741236 1.09 1.09 0.2 0.125 2.43045577 8e+06 7771.53658
## 1320 0.57123380 1.09 1.09 0.2 0.125 3.19619903 8e+06 7755.68581
## 1321 0.57945620 1.09 1.09 0.2 0.125 2.71101309 8e+06 7714.89374
## 1322 0.57190946 1.09 1.09 0.2 0.125 3.25327507 8e+06 7737.68810
## 1323 0.55597417 1.09 1.09 0.2 0.125 4.03277684 8e+06 7748.20772
## 1324 0.56905359 1.09 1.09 0.2 0.125 6.17806377 8e+06 7434.88417
## 1325 0.56673450 1.09 1.09 0.2 0.125 6.53341061 8e+06 7423.97394
## 1326 0.55764026 1.09 1.09 0.2 0.125 6.37431185 8e+06 7392.39477
## 1327 0.55011331 1.09 1.09 0.2 0.125 6.44686295 8e+06 7521.26444
## 1328 0.54938014 1.09 1.09 0.2 0.125 6.44522202 8e+06 7468.19792
## 1329 0.54809693 1.09 1.09 0.2 0.125 6.25064824 8e+06 7628.33854
## 1330 0.56350557 1.09 1.09 0.2 0.125 5.16492484 8e+06 7466.58284
## 1331 0.52637487 1.09 1.09 0.2 0.125 4.94320932 8e+06 7718.50267
## 1332 0.54847853 1.09 1.09 0.2 0.125 3.09615103 8e+06 7921.78137
## 1333 0.54844328 1.09 1.09 0.2 0.125 3.32405534 8e+06 7923.07028
## 1334 0.53841486 1.09 1.09 0.2 0.125 3.77339586 8e+06 7899.99403
## 1335 0.53995434 1.09 1.09 0.2 0.125 3.71406843 8e+06 7955.55652
## 1336 0.55056821 1.09 1.09 0.2 0.125 3.25084351 8e+06 8036.46870
## 1337 0.55854817 1.09 1.09 0.2 0.125 3.07209613 8e+06 8077.41830
## 1338 0.56205763 1.09 1.09 0.2 0.125 2.70868921 8e+06 8114.62605
## 1339 0.56272903 1.09 1.09 0.2 0.125 2.08241627 8e+06 8292.24838
## 1340 0.57695322 1.09 1.09 0.2 0.125 2.07422401 8e+06 8454.59710
## 1341 0.56486557 1.09 1.09 0.2 0.125 3.04685325 8e+06 8390.77613
## 1342 0.55735314 1.09 1.09 0.2 0.125 3.34152323 8e+06 8366.86716
## 1343 0.56685899 1.09 1.09 0.2 0.125 2.67361018 8e+06 8378.82514
## 1344 0.56668060 1.09 1.09 0.2 0.125 2.80183392 8e+06 8464.13236
## 1345 0.56231654 1.09 1.09 0.2 0.125 2.24024733 8e+06 8486.45017
## 1346 0.56779162 1.09 1.09 0.2 0.125 2.16417796 8e+06 8524.08868
## 1347 0.55777283 1.09 1.09 0.2 0.125 2.46800526 8e+06 8554.09629
## 1348 0.55537934 1.09 1.09 0.2 0.125 2.32523328 8e+06 8589.96423
## 1349 0.55306351 1.09 1.09 0.2 0.125 2.23752475 8e+06 8712.53627
## 1350 0.56122311 1.09 1.09 0.2 0.125 2.40375999 8e+06 8621.80186
## 1351 0.56239027 1.09 1.09 0.2 0.125 2.24707954 8e+06 8628.67249
## 1352 0.56239027 1.09 1.09 0.2 0.125 2.24707954 8e+06 8628.67249
## 1353 0.11647526 1.09 1.09 0.2 0.125 0.77042827 8e+06 15704.08445
## 1354 0.11647526 1.09 1.09 0.2 0.125 0.77042827 8e+06 15704.08445
## 1355 0.11331876 1.09 1.09 0.2 0.125 0.83426623 8e+06 15572.30003
## 1356 0.11870077 1.09 1.09 0.2 0.125 0.78807938 8e+06 15614.34179
## 1357 0.11847194 1.09 1.09 0.2 0.125 0.81167055 8e+06 15478.61385
## 1358 0.09738070 1.09 1.09 0.2 0.125 0.91181471 8e+06 15696.47311
## 1359 0.07551962 1.09 1.09 0.2 0.125 0.77839890 8e+06 15692.96970
## 1360 0.08472719 1.09 1.09 0.2 0.125 0.64094697 8e+06 15730.06748
## 1361 0.09223645 1.09 1.09 0.2 0.125 0.69303946 8e+06 15801.80565
## 1362 0.09230406 1.09 1.09 0.2 0.125 0.84336728 8e+06 15681.45129
## 1363 0.10787187 1.09 1.09 0.2 0.125 1.04881589 8e+06 15740.96656
## 1364 0.10899169 1.09 1.09 0.2 0.125 1.14792202 8e+06 15804.31525
## 1365 0.11277636 1.09 1.09 0.2 0.125 1.23712281 8e+06 16126.60963
## 1366 0.11794153 1.09 1.09 0.2 0.125 1.35040480 8e+06 16249.46728
## 1367 0.11612153 1.09 1.09 0.2 0.125 1.43064737 8e+06 16301.91614
## 1368 0.12550602 1.09 1.09 0.2 0.125 1.54682975 8e+06 16369.63551
## 1369 0.12797873 1.09 1.09 0.2 0.125 1.65569227 8e+06 16504.03908
## 1370 0.12703842 1.09 1.09 0.2 0.125 1.96819875 8e+06 16539.06382
## 1371 0.13178501 1.09 1.09 0.2 0.125 2.13787213 8e+06 16540.96080
## 1372 0.13921929 1.09 1.09 0.2 0.125 2.23905095 8e+06 16732.66412
## 1373 0.13897155 1.09 1.09 0.2 0.125 2.34063357 8e+06 16765.71922
## 1374 0.14222860 1.09 1.09 0.2 0.125 2.58562284 8e+06 16810.93342
## 1375 0.14892899 1.09 1.09 0.2 0.125 2.91437233 8e+06 16893.86629
## 1376 0.14421154 1.09 1.09 0.2 0.125 2.62941648 8e+06 16721.68352
## 1377 0.14778191 1.09 1.09 0.2 0.125 3.08327463 8e+06 16786.28211
## 1378 0.14555828 1.09 1.09 0.2 0.125 2.79495917 8e+06 16682.41788
## 1379 0.15205206 1.09 1.09 0.2 0.125 2.75559809 8e+06 16564.01650
## 1380 0.15384953 1.09 1.09 0.2 0.125 2.76948048 8e+06 16551.37588
## 1381 0.14753214 1.09 1.09 0.2 0.125 2.92490722 8e+06 16689.24696
## 1382 0.14785393 1.09 1.09 0.2 0.125 3.04490264 8e+06 16704.67621
## 1383 0.14528239 1.09 1.09 0.2 0.125 3.18260465 8e+06 16590.57610
## 1384 0.14314108 1.09 1.09 0.2 0.125 3.43903892 8e+06 16729.91190
## 1385 0.14682975 1.09 1.09 0.2 0.125 3.44329596 8e+06 16818.24000
## 1386 0.14586571 1.09 1.09 0.2 0.125 3.33770262 8e+06 16967.86314
## 1387 0.14163404 1.09 1.09 0.2 0.125 3.45131267 8e+06 16981.43578
## 1388 0.14103436 1.09 1.09 0.2 0.125 3.52580585 8e+06 16931.53044
## 1389 0.14163294 1.09 1.09 0.2 0.125 3.69749908 8e+06 16832.87484
## 1390 0.14680738 1.09 1.09 0.2 0.125 3.74446786 8e+06 16896.12626
## 1391 0.14438024 1.09 1.09 0.2 0.125 3.74631410 8e+06 16934.12437
## 1392 0.13982090 1.09 1.09 0.2 0.125 3.62080623 8e+06 17040.25018
## 1393 0.14203017 1.09 1.09 0.2 0.125 3.48379997 8e+06 17222.47889
## 1394 0.13694259 1.09 1.09 0.2 0.125 3.53959268 8e+06 17290.85157
## 1395 0.13567156 1.09 1.09 0.2 0.125 3.76367674 8e+06 17412.16397
## 1396 0.13815822 1.09 1.09 0.2 0.125 3.70710044 8e+06 17443.01714
## 1397 0.13730795 1.09 1.09 0.2 0.125 3.37250217 8e+06 17597.15967
## 1398 0.13762291 1.09 1.09 0.2 0.125 3.03906585 8e+06 17651.17169
## 1399 0.13926300 1.09 1.09 0.2 0.125 2.97264530 8e+06 17655.77310
## 1400 0.13936257 1.09 1.09 0.2 0.125 2.91486373 8e+06 17666.48463
## 1401 0.13833566 1.09 1.09 0.2 0.125 2.75245026 8e+06 17689.41852
## 1402 0.13875646 1.09 1.09 0.2 0.125 2.98371197 8e+06 17860.26811
## 1403 0.14013323 1.09 1.09 0.2 0.125 3.07180646 8e+06 17837.15044
## 1404 0.13933046 1.09 1.09 0.2 0.125 3.27057044 8e+06 17778.78914
## 1405 0.13933046 1.09 1.09 0.2 0.125 3.27057044 8e+06 17778.78914
## 1406 0.14067050 1.09 1.09 0.2 0.125 3.25716279 8e+06 17699.86382
## 1407 0.14807838 1.09 1.09 0.2 0.125 3.46250276 8e+06 17778.63869
## 1408 0.15105850 1.09 1.09 0.2 0.125 3.62134497 8e+06 17861.74824
## 1409 0.16269374 1.09 1.09 0.2 0.125 4.06897249 8e+06 17713.97966
## 1410 0.15249990 1.09 1.09 0.2 0.125 4.06821588 8e+06 17814.46555
## 1411 0.15007717 1.09 1.09 0.2 0.125 3.95103195 8e+06 17901.09855
## 1412 0.14632094 1.09 1.09 0.2 0.125 3.80973025 8e+06 18038.94561
## 1413 0.15660068 1.09 1.09 0.2 0.125 3.91508537 8e+06 18111.52172
## 1414 0.15591066 1.09 1.09 0.2 0.125 3.75118669 8e+06 18240.82351
## 1415 0.15584615 1.09 1.09 0.2 0.125 4.12084446 8e+06 18774.67639
## 1416 0.15190660 1.09 1.09 0.2 0.125 4.72536939 8e+06 19159.36490
## 1417 0.15562589 1.09 1.09 0.2 0.125 4.32721342 8e+06 19376.35040
## 1418 0.15358436 1.09 1.09 0.2 0.125 4.13500004 8e+06 19249.46566
## 1419 0.15539355 1.09 1.09 0.2 0.125 4.02697730 8e+06 19545.01152
## 1420 0.14556415 1.09 1.09 0.2 0.125 4.17697255 8e+06 19691.43303
## 1421 0.14606650 1.09 1.09 0.2 0.125 4.31096456 8e+06 19564.99418
## 1422 0.14725623 1.09 1.09 0.2 0.125 4.79451761 8e+06 20057.43466
## 1423 0.14992930 1.09 1.09 0.2 0.125 4.94238173 8e+06 19803.60397
## 1424 0.15345461 1.09 1.09 0.2 0.125 4.68833702 8e+06 20208.16363
## 1425 0.15784615 1.09 1.09 0.2 0.125 4.33405674 8e+06 20568.63830
## 1426 0.14640206 1.09 1.09 0.2 0.125 4.61157527 8e+06 20654.81595
## 1427 0.15222157 1.09 1.09 0.2 0.125 4.51230538 8e+06 20739.15493
## 1428 0.15587074 1.09 1.09 0.2 0.125 4.51029318 8e+06 21081.63699
## 1429 0.15561652 1.09 1.09 0.2 0.125 4.38118575 8e+06 20786.51984
## 1430 0.15513708 1.09 1.09 0.2 0.125 4.73356050 8e+06 21069.63316
## 1431 0.16186950 1.09 1.09 0.2 0.125 4.98622088 8e+06 21195.88468
## 1432 0.16283176 1.09 1.09 0.2 0.125 4.96906012 8e+06 21319.97915
## 1433 0.16242724 1.09 1.09 0.2 0.125 4.65738858 8e+06 21299.34584
## 1434 0.16204333 1.09 1.09 0.2 0.125 4.42189223 8e+06 21243.61885
## 1435 0.16139405 1.09 1.09 0.2 0.125 4.44096580 8e+06 21421.18925
## 1436 0.16232774 1.09 1.09 0.2 0.125 4.44244140 8e+06 21483.80601
## 1437 0.16597054 1.09 1.09 0.2 0.125 4.54540472 8e+06 21446.91830
## 1438 0.16560172 1.09 1.09 0.2 0.125 4.39757421 8e+06 21399.92583
## 1439 0.15866997 1.09 1.09 0.2 0.125 4.11001259 8e+06 21359.62684
## 1440 0.16216561 1.09 1.09 0.2 0.125 4.11158666 8e+06 21489.30060
## 1441 0.16384703 1.09 1.09 0.2 0.125 4.50601688 8e+06 21830.86432
## 1442 0.16435919 1.09 1.09 0.2 0.125 4.40084852 8e+06 21996.83580
## 1443 0.16812670 1.09 1.09 0.2 0.125 4.99479574 8e+06 22482.49211
## 1444 0.17103660 1.09 1.09 0.2 0.125 4.89363007 8e+06 22797.32859
## 1445 0.18204570 1.09 1.09 0.2 0.125 5.22279913 8e+06 22760.99018
## 1446 0.18658564 1.09 1.09 0.2 0.125 5.75050760 8e+06 23190.60337
## 1447 0.19002495 1.09 1.09 0.2 0.125 6.01265690 8e+06 23581.58688
## 1448 0.19834590 1.09 1.09 0.2 0.125 6.38766390 8e+06 23981.71582
## 1449 0.20046422 1.09 1.09 0.2 0.125 7.18603961 8e+06 24157.21407
## 1450 0.20421925 1.09 1.09 0.2 0.125 7.68738458 8e+06 24343.92774
## 1451 0.20472914 1.09 1.09 0.2 0.125 7.23201623 8e+06 24191.25135
## 1452 0.19794545 1.09 1.09 0.2 0.125 7.25992379 8e+06 24090.00868
## 1453 0.18702151 1.09 1.09 0.2 0.125 6.82187567 8e+06 24101.47777
## 1454 0.18791440 1.09 1.09 0.2 0.125 6.96104712 8e+06 24567.39974
## 1455 0.18628510 1.09 1.09 0.2 0.125 7.01232813 8e+06 24800.47781
## 1456 0.18628510 1.09 1.09 0.2 0.125 7.01232813 8e+06 24800.47781
## 1457 0.39980222 1.09 1.09 0.2 0.125 0.24455858 8e+06 9178.51174
## 1458 0.39980222 1.09 1.09 0.2 0.125 0.24455858 8e+06 9178.51174
## 1459 0.42959426 1.09 1.09 0.2 0.125 0.24787420 8e+06 9372.04864
## 1460 0.47318878 1.09 1.09 0.2 0.125 0.20627358 8e+06 9779.77053
## 1461 0.52192510 1.09 1.09 0.2 0.125 0.20821254 8e+06 9774.64858
## 1462 0.55311557 1.09 1.09 0.2 0.125 0.24581662 8e+06 10041.87867
## 1463 0.56870718 1.09 1.09 0.2 0.125 0.25433918 8e+06 10057.29354
## 1464 0.54805675 1.09 1.09 0.2 0.125 0.24589702 8e+06 10002.42528
## 1465 0.52168048 1.09 1.09 0.2 0.125 0.26914083 8e+06 10025.39532
## 1466 0.46920825 1.09 1.09 0.2 0.125 0.25812801 8e+06 10068.06163
## 1467 0.45476376 1.09 1.09 0.2 0.125 0.28787573 8e+06 10161.49450
## 1468 0.45556832 1.09 1.09 0.2 0.125 0.32182754 8e+06 10331.36811
## 1469 0.39270982 1.09 1.09 0.2 0.125 0.31397716 8e+06 10214.85895
## 1470 0.40288272 1.09 1.09 0.2 0.125 0.35238339 8e+06 10356.82019
## 1471 0.39579689 1.09 1.09 0.2 0.125 0.48423165 8e+06 10425.34553
## 1472 0.40992169 1.09 1.09 0.2 0.125 0.45683316 8e+06 10423.92816
## 1473 0.37684776 1.09 1.09 0.2 0.125 0.46695621 8e+06 10428.75979
## 1474 0.43283040 1.09 1.09 0.2 0.125 0.53230792 8e+06 10454.63002
## 1475 0.28766476 1.09 1.09 0.2 0.125 0.56109839 8e+06 10892.35005
## 1476 0.24936237 1.09 1.09 0.2 0.125 0.55465317 8e+06 10970.63297
## 1477 0.18529857 1.09 1.09 0.2 0.125 0.75424432 8e+06 10828.59889
## 1478 0.16607978 1.09 1.09 0.2 0.125 0.73702422 8e+06 10903.99890
## 1479 0.15497471 1.09 1.09 0.2 0.125 0.75677735 8e+06 10991.68818
## 1480 0.15453428 1.09 1.09 0.2 0.125 0.86358598 8e+06 10986.81078
## 1481 0.14416061 1.09 1.09 0.2 0.125 1.00693134 8e+06 10906.64456
## 1482 0.14205099 1.09 1.09 0.2 0.125 1.11123492 8e+06 10930.98267
## 1483 0.14030227 1.09 1.09 0.2 0.125 1.13680427 8e+06 10927.67626
## 1484 0.14037574 1.09 1.09 0.2 0.125 1.15017681 8e+06 11053.44087
## 1485 0.13230594 1.09 1.09 0.2 0.125 1.24923637 8e+06 11078.68233
## 1486 0.13647834 1.09 1.09 0.2 0.125 1.23478641 8e+06 11125.87069
## 1487 0.13302192 1.09 1.09 0.2 0.125 1.31833234 8e+06 11230.49319
## 1488 0.13415902 1.09 1.09 0.2 0.125 1.37158629 8e+06 11340.57942
## 1489 0.14137422 1.09 1.09 0.2 0.125 1.41462784 8e+06 11431.90770
## 1490 0.13979325 1.09 1.09 0.2 0.125 1.50954636 8e+06 11491.18119
## 1491 0.14091898 1.09 1.09 0.2 0.125 1.59092769 8e+06 11506.72854
## 1492 0.13946248 1.09 1.09 0.2 0.125 1.62417352 8e+06 11487.74052
## 1493 0.13513492 1.09 1.09 0.2 0.125 1.73892851 8e+06 11529.04445
## 1494 0.13914432 1.09 1.09 0.2 0.125 1.70784937 8e+06 11725.41818
## 1495 0.13355658 1.09 1.09 0.2 0.125 1.73031308 8e+06 11737.48791
## 1496 0.13686333 1.09 1.09 0.2 0.125 1.70107130 8e+06 11772.76413
## 1497 0.13974001 1.09 1.09 0.2 0.125 1.76178986 8e+06 11871.65318
## 1498 0.13626392 1.09 1.09 0.2 0.125 1.66938952 8e+06 11945.10284
## 1499 0.13681335 1.09 1.09 0.2 0.125 1.84661709 8e+06 12050.97711
## 1500 0.13977083 1.09 1.09 0.2 0.125 1.91771249 8e+06 12160.71915
## 1501 0.13831476 1.09 1.09 0.2 0.125 1.89828445 8e+06 12251.99162
## 1502 0.13992753 1.09 1.09 0.2 0.125 2.26449698 8e+06 12386.52722
## 1503 0.14271077 1.09 1.09 0.2 0.125 2.20937942 8e+06 12487.40463
## 1504 0.14610796 1.09 1.09 0.2 0.125 2.28336106 8e+06 12543.48703
## 1505 0.14391630 1.09 1.09 0.2 0.125 2.42677035 8e+06 12477.51652
## 1506 0.14215508 1.09 1.09 0.2 0.125 2.41493208 8e+06 12486.38913
## 1507 0.14218186 1.09 1.09 0.2 0.125 2.38700824 8e+06 12472.73451
## 1508 0.14249138 1.09 1.09 0.2 0.125 2.49364683 8e+06 12506.54125
## 1509 0.14249138 1.09 1.09 0.2 0.125 2.49364683 8e+06 12506.54125
## 1510 0.14409880 1.09 1.09 0.2 0.125 2.43897273 8e+06 12489.36474
## 1511 0.14831630 1.09 1.09 0.2 0.125 2.39034055 8e+06 12447.85946
## 1512 0.13964629 1.09 1.09 0.2 0.125 2.40177566 8e+06 12490.66858
## 1513 0.14222549 1.09 1.09 0.2 0.125 2.51324398 8e+06 12430.40525
## 1514 0.13579523 1.09 1.09 0.2 0.125 2.61971692 8e+06 12426.51332
## 1515 0.13851451 1.09 1.09 0.2 0.125 2.89300879 8e+06 12309.00589
## 1516 0.15273391 1.09 1.09 0.2 0.125 2.75101198 8e+06 12116.03602
## 1517 0.14396561 1.09 1.09 0.2 0.125 3.03058908 8e+06 12244.33928
## 1518 0.14643193 1.09 1.09 0.2 0.125 3.13823086 8e+06 12398.05460
## 1519 0.14833354 1.09 1.09 0.2 0.125 3.10019630 8e+06 12393.83502
## 1520 0.14345371 1.09 1.09 0.2 0.125 3.18049531 8e+06 12078.99893
## 1521 0.13854570 1.09 1.09 0.2 0.125 3.15280028 8e+06 12100.18039
## 1522 0.13655278 1.09 1.09 0.2 0.125 2.74961147 8e+06 12340.18704
## 1523 0.13742675 1.09 1.09 0.2 0.125 2.86714598 8e+06 12475.64346
## 1524 0.14501464 1.09 1.09 0.2 0.125 3.45002348 8e+06 12374.07178
## 1525 0.14890873 1.09 1.09 0.2 0.125 3.68373838 8e+06 12433.22126
## 1526 0.14545236 1.09 1.09 0.2 0.125 3.73367582 8e+06 12541.95783
## 1527 0.14842209 1.09 1.09 0.2 0.125 3.75069073 8e+06 12613.58400
## 1528 0.14938247 1.09 1.09 0.2 0.125 3.68547724 8e+06 12809.64573
## 1529 0.15035630 1.09 1.09 0.2 0.125 3.91056959 8e+06 12774.03281
## 1530 0.15116352 1.09 1.09 0.2 0.125 3.77150177 8e+06 12887.18800
## 1531 0.15834974 1.09 1.09 0.2 0.125 3.84858761 8e+06 13018.11245
## 1532 0.16190929 1.09 1.09 0.2 0.125 4.08590613 8e+06 13170.76661
## 1533 0.16002055 1.09 1.09 0.2 0.125 4.09940507 8e+06 13173.29917
## 1534 0.16185236 1.09 1.09 0.2 0.125 4.09454743 8e+06 13082.49845
## 1535 0.15947949 1.09 1.09 0.2 0.125 4.39932128 8e+06 13146.69853
## 1536 0.15778904 1.09 1.09 0.2 0.125 4.42858373 8e+06 13333.90293
## 1537 0.15958462 1.09 1.09 0.2 0.125 4.51861879 8e+06 13382.52935
## 1538 0.15693800 1.09 1.09 0.2 0.125 4.31386206 8e+06 13627.79491
## 1539 0.15084691 1.09 1.09 0.2 0.125 4.45152271 8e+06 13728.93078
## 1540 0.15074402 1.09 1.09 0.2 0.125 4.70174704 8e+06 13776.39718
## 1541 0.15188293 1.09 1.09 0.2 0.125 4.78520138 8e+06 13783.72090
## 1542 0.15524713 1.09 1.09 0.2 0.125 5.01545131 8e+06 13845.60602
## 1543 0.15252778 1.09 1.09 0.2 0.125 5.05656853 8e+06 13885.53284
## 1544 0.15277356 1.09 1.09 0.2 0.125 4.66322369 8e+06 13935.05205
## 1545 0.15925359 1.09 1.09 0.2 0.125 4.37344781 8e+06 14043.31462
## 1546 0.15208998 1.09 1.09 0.2 0.125 4.57003688 8e+06 13955.37666
## 1547 0.15794524 1.09 1.09 0.2 0.125 4.10150272 8e+06 14046.03777
## 1548 0.15731923 1.09 1.09 0.2 0.125 3.80549665 8e+06 14124.42948
## 1549 0.15741226 1.09 1.09 0.2 0.125 3.73769778 8e+06 14338.51129
## 1550 0.15188696 1.09 1.09 0.2 0.125 3.98785533 8e+06 14296.05640
## 1551 0.15925057 1.09 1.09 0.2 0.125 3.93197429 8e+06 14361.23697
## 1552 0.16413146 1.09 1.09 0.2 0.125 3.76258587 8e+06 14479.97483
## 1553 0.16102668 1.09 1.09 0.2 0.125 3.34487099 8e+06 14422.32104
## 1554 0.16165461 1.09 1.09 0.2 0.125 3.38122014 8e+06 14376.24325
## 1555 0.15806839 1.09 1.09 0.2 0.125 3.31112663 8e+06 14330.37861
## 1556 0.15902874 1.09 1.09 0.2 0.125 3.24695916 8e+06 14325.40609
## 1557 0.16159105 1.09 1.09 0.2 0.125 3.49658936 8e+06 14309.88204
## 1558 0.15473456 1.09 1.09 0.2 0.125 3.61005302 8e+06 14445.00161
## 1559 0.15307106 1.09 1.09 0.2 0.125 4.01047972 8e+06 14583.47245
## 1560 0.15307106 1.09 1.09 0.2 0.125 4.01047972 8e+06 14583.47245
## 1561 0.08219649 1.09 1.09 0.2 0.125 0.23633204 8e+06 16956.99882
## 1562 0.08219649 1.09 1.09 0.2 0.125 0.23633204 8e+06 16956.99882
## 1563 0.07385577 1.09 1.09 0.2 0.125 0.20416396 8e+06 16567.00951
## 1564 0.09534167 1.09 1.09 0.2 0.125 0.15235478 8e+06 16096.13205
## 1565 0.09375390 1.09 1.09 0.2 0.125 0.13379995 8e+06 16165.46664
## 1566 0.06661072 1.09 1.09 0.2 0.125 0.10569929 8e+06 16382.93363
## 1567 0.08145257 1.09 1.09 0.2 0.125 0.11881824 8e+06 16521.04487
## 1568 0.07859093 1.09 1.09 0.2 0.125 0.12311258 8e+06 16021.94010
## 1569 0.08512860 1.09 1.09 0.2 0.125 0.17217460 8e+06 15979.48679
## 1570 0.07403147 1.09 1.09 0.2 0.125 0.22199581 8e+06 15980.49152
## 1571 0.07483431 1.09 1.09 0.2 0.125 0.23937873 8e+06 15972.32965
## 1572 0.07010815 1.09 1.09 0.2 0.125 0.30030499 8e+06 15917.66193
## 1573 0.08168942 1.09 1.09 0.2 0.125 0.34289742 8e+06 16225.57548
## 1574 0.10081796 1.09 1.09 0.2 0.125 0.42470380 8e+06 16652.32332
## 1575 0.10680597 1.09 1.09 0.2 0.125 0.45670266 8e+06 16807.71036
## 1576 0.11171252 1.09 1.09 0.2 0.125 0.53578755 8e+06 17216.37916
## 1577 0.10580534 1.09 1.09 0.2 0.125 0.65305256 8e+06 17596.60539
## 1578 0.11288847 1.09 1.09 0.2 0.125 0.72339582 8e+06 17758.56709
## 1579 0.12807046 1.09 1.09 0.2 0.125 0.74214094 8e+06 17856.35380
## 1580 0.12622513 1.09 1.09 0.2 0.125 0.92871462 8e+06 17921.60004
## 1581 0.12625669 1.09 1.09 0.2 0.125 1.06283241 8e+06 17989.48510
## 1582 0.12496632 1.09 1.09 0.2 0.125 1.12306143 8e+06 18240.41266
## 1583 0.12727200 1.09 1.09 0.2 0.125 1.19517762 8e+06 18415.09067
## 1584 0.13110691 1.09 1.09 0.2 0.125 1.31360786 8e+06 18560.22593
## 1585 0.12355703 1.09 1.09 0.2 0.125 1.44828996 8e+06 18534.59490
## 1586 0.11961264 1.09 1.09 0.2 0.125 1.57984016 8e+06 18542.68941
## 1587 0.12532163 1.09 1.09 0.2 0.125 1.81112181 8e+06 18395.91025
## 1588 0.12374113 1.09 1.09 0.2 0.125 1.92698388 8e+06 18504.34123
## 1589 0.12263627 1.09 1.09 0.2 0.125 1.90527452 8e+06 18463.88095
## 1590 0.12222605 1.09 1.09 0.2 0.125 1.96153298 8e+06 18531.32171
## 1591 0.12772125 1.09 1.09 0.2 0.125 2.06218916 8e+06 18572.32415
## 1592 0.12073185 1.09 1.09 0.2 0.125 1.92708060 8e+06 18772.75559
## 1593 0.12594295 1.09 1.09 0.2 0.125 1.87101387 8e+06 18882.26158
## 1594 0.12502614 1.09 1.09 0.2 0.125 1.85939174 8e+06 18788.19693
## 1595 0.12576919 1.09 1.09 0.2 0.125 2.21141075 8e+06 18638.87497
## 1596 0.13134980 1.09 1.09 0.2 0.125 2.56491717 8e+06 18711.92436
## 1597 0.13377236 1.09 1.09 0.2 0.125 2.35480692 8e+06 19152.46602
## 1598 0.13264172 1.09 1.09 0.2 0.125 2.07072075 8e+06 19347.74543
## 1599 0.13260972 1.09 1.09 0.2 0.125 2.20014252 8e+06 19454.18349
## 1600 0.13483900 1.09 1.09 0.2 0.125 2.35960732 8e+06 19382.41497
## 1601 0.14383466 1.09 1.09 0.2 0.125 1.93211206 8e+06 19309.93046
## 1602 0.14245734 1.09 1.09 0.2 0.125 1.86133249 8e+06 19367.61105
## 1603 0.14479044 1.09 1.09 0.2 0.125 1.97270155 8e+06 19373.92340
## 1604 0.14044147 1.09 1.09 0.2 0.125 1.99585345 8e+06 19513.34791
## 1605 0.13511845 1.09 1.09 0.2 0.125 2.18539019 8e+06 19508.08092
## 1606 0.13607154 1.09 1.09 0.2 0.125 2.16265576 8e+06 19528.01422
## 1607 0.13966205 1.09 1.09 0.2 0.125 2.19112851 8e+06 19547.46569
## 1608 0.14353350 1.09 1.09 0.2 0.125 2.05147308 8e+06 19738.27550
## 1609 0.13672353 1.09 1.09 0.2 0.125 2.00724454 8e+06 19935.80632
## 1610 0.13607697 1.09 1.09 0.2 0.125 2.03149900 8e+06 20054.48643
## 1611 0.13484223 1.09 1.09 0.2 0.125 2.11178053 8e+06 20065.55147
## 1612 0.13361426 1.09 1.09 0.2 0.125 2.40527143 8e+06 20072.68865
## 1613 0.13361426 1.09 1.09 0.2 0.125 2.40527143 8e+06 20072.68865
## 1614 0.13798380 1.09 1.09 0.2 0.125 2.42741410 8e+06 20084.02909
## 1615 0.14203531 1.09 1.09 0.2 0.125 2.33694673 8e+06 20084.44499
## 1616 0.14252521 1.09 1.09 0.2 0.125 2.29434137 8e+06 20099.92293
## 1617 0.14043583 1.09 1.09 0.2 0.125 2.47045907 8e+06 20193.38033
## 1618 0.13913126 1.09 1.09 0.2 0.125 2.50779874 8e+06 20358.46553
## 1619 0.14149414 1.09 1.09 0.2 0.125 2.50552970 8e+06 20686.11951
## 1620 0.13824964 1.09 1.09 0.2 0.125 2.56210560 8e+06 20948.73730
## 1621 0.13012457 1.09 1.09 0.2 0.125 2.59741237 8e+06 21004.40256
## 1622 0.13205339 1.09 1.09 0.2 0.125 2.58982056 8e+06 21109.17925
## 1623 0.13608739 1.09 1.09 0.2 0.125 2.61224077 8e+06 21657.06460
## 1624 0.13148769 1.09 1.09 0.2 0.125 2.65566364 8e+06 21624.67723
## 1625 0.13172216 1.09 1.09 0.2 0.125 2.77085723 8e+06 21780.37124
## 1626 0.13712421 1.09 1.09 0.2 0.125 2.62675779 8e+06 21506.46212
## 1627 0.14042143 1.09 1.09 0.2 0.125 2.85914420 8e+06 21448.16755
## 1628 0.13652154 1.09 1.09 0.2 0.125 2.79429015 8e+06 21477.14275
## 1629 0.14297983 1.09 1.09 0.2 0.125 2.66068403 8e+06 21853.49480
## 1630 0.14646071 1.09 1.09 0.2 0.125 2.54376881 8e+06 21813.39693
## 1631 0.14243595 1.09 1.09 0.2 0.125 2.35304030 8e+06 21822.33539
## 1632 0.13437021 1.09 1.09 0.2 0.125 2.22540343 8e+06 21961.49778
## 1633 0.13243627 1.09 1.09 0.2 0.125 1.98289589 8e+06 22330.70448
## 1634 0.13998276 1.09 1.09 0.2 0.125 2.21736176 8e+06 22254.13396
## 1635 0.13885313 1.09 1.09 0.2 0.125 2.25574727 8e+06 22196.65270
## 1636 0.13785644 1.09 1.09 0.2 0.125 2.29012292 8e+06 21870.02881
## 1637 0.13342352 1.09 1.09 0.2 0.125 2.21762876 8e+06 22097.95451
## 1638 0.13153972 1.09 1.09 0.2 0.125 2.27206481 8e+06 22635.71119
## 1639 0.13032339 1.09 1.09 0.2 0.125 2.23280441 8e+06 23243.55359
## 1640 0.13034603 1.09 1.09 0.2 0.125 2.31735348 8e+06 23422.54431
## 1641 0.13609328 1.09 1.09 0.2 0.125 2.10494812 8e+06 23949.47585
## 1642 0.13666487 1.09 1.09 0.2 0.125 2.17131846 8e+06 24375.28148
## 1643 0.14826759 1.09 1.09 0.2 0.125 2.09778072 8e+06 24533.29637
## 1644 0.15089878 1.09 1.09 0.2 0.125 2.16680331 8e+06 24599.78865
## 1645 0.15170171 1.09 1.09 0.2 0.125 2.14466842 8e+06 24846.37525
## 1646 0.15668288 1.09 1.09 0.2 0.125 2.19191059 8e+06 24820.59561
## 1647 0.15341958 1.09 1.09 0.2 0.125 2.22920631 8e+06 24982.51331
## 1648 0.14443886 1.09 1.09 0.2 0.125 2.25597146 8e+06 24748.89369
## 1649 0.14309441 1.09 1.09 0.2 0.125 2.45058445 8e+06 24542.95205
## 1650 0.13967143 1.09 1.09 0.2 0.125 2.27046684 8e+06 24618.21300
## 1651 0.13829056 1.09 1.09 0.2 0.125 2.19957549 8e+06 24361.85264
## 1652 0.13551857 1.09 1.09 0.2 0.125 2.17646451 8e+06 24085.72793
## 1653 0.13569369 1.09 1.09 0.2 0.125 2.46880007 8e+06 24014.58335
## 1654 0.14194784 1.09 1.09 0.2 0.125 2.59180094 8e+06 23919.81614
## 1655 0.13877795 1.09 1.09 0.2 0.125 2.52212935 8e+06 23947.36820
## 1656 0.14302389 1.09 1.09 0.2 0.125 2.76053586 8e+06 23986.89739
## 1657 0.14354287 1.09 1.09 0.2 0.125 2.85587892 8e+06 24146.49141
## 1658 0.13769138 1.09 1.09 0.2 0.125 2.66965417 8e+06 24398.65095
## 1659 0.13370956 1.09 1.09 0.2 0.125 2.72585614 8e+06 24604.06904
## 1660 0.13524724 1.09 1.09 0.2 0.125 2.70413447 8e+06 24792.09071
## 1661 0.14023261 1.09 1.09 0.2 0.125 2.50631901 8e+06 25069.64567
## 1662 0.13749607 1.09 1.09 0.2 0.125 2.75989121 8e+06 24741.90927
## 1663 0.13901263 1.09 1.09 0.2 0.125 2.79055190 8e+06 24787.79368
## 1664 0.13901263 1.09 1.09 0.2 0.125 2.79055190 8e+06 24787.79368
## 1665 0.18136098 1.09 1.09 0.2 0.125 0.57364113 8e+06 8624.19543
## 1666 0.18136098 1.09 1.09 0.2 0.125 0.57364113 8e+06 8624.19543
## 1667 0.17334180 1.09 1.09 0.2 0.125 0.66093695 8e+06 8429.43366
## 1668 0.19294610 1.09 1.09 0.2 0.125 0.53619450 8e+06 8311.91906
## 1669 0.18188898 1.09 1.09 0.2 0.125 0.61845580 8e+06 8361.44492
## 1670 0.15463709 1.09 1.09 0.2 0.125 0.53722127 8e+06 8243.94349
## 1671 0.13401429 1.09 1.09 0.2 0.125 0.53040162 8e+06 8125.54788
## 1672 0.11302994 1.09 1.09 0.2 0.125 0.59737769 8e+06 8178.81172
## 1673 0.10441739 1.09 1.09 0.2 0.125 0.71139031 8e+06 8272.26622
## 1674 0.10759407 1.09 1.09 0.2 0.125 0.84286411 8e+06 7967.68368
## 1675 0.11553769 1.09 1.09 0.2 0.125 0.98752130 8e+06 7954.20079
## 1676 0.10825783 1.09 1.09 0.2 0.125 1.00021018 8e+06 7911.44994
## 1677 0.10934470 1.09 1.09 0.2 0.125 1.06984835 8e+06 8341.65688
## 1678 0.11308950 1.09 1.09 0.2 0.125 1.11394738 8e+06 8438.22141
## 1679 0.11716768 1.09 1.09 0.2 0.125 1.10769805 8e+06 8466.43097
## 1680 0.11505996 1.09 1.09 0.2 0.125 1.08615889 8e+06 8589.03859
## 1681 0.11866400 1.09 1.09 0.2 0.125 1.17999258 8e+06 8781.64945
## 1682 0.11765359 1.09 1.09 0.2 0.125 1.46498675 8e+06 8771.82138
## 1683 0.11907886 1.09 1.09 0.2 0.125 1.88068160 8e+06 8875.37019
## 1684 0.11801158 1.09 1.09 0.2 0.125 2.16856383 8e+06 9016.61900
## 1685 0.11703813 1.09 1.09 0.2 0.125 2.18427995 8e+06 9064.24906
## 1686 0.11568703 1.09 1.09 0.2 0.125 2.23360966 8e+06 9092.93489
## 1687 0.11602630 1.09 1.09 0.2 0.125 2.51139547 8e+06 9258.70639
## 1688 0.12105126 1.09 1.09 0.2 0.125 2.37539869 8e+06 9289.76564
## 1689 0.11944036 1.09 1.09 0.2 0.125 2.17240177 8e+06 9309.59568
## 1690 0.11248245 1.09 1.09 0.2 0.125 2.29143285 8e+06 9280.50682
## 1691 0.11571117 1.09 1.09 0.2 0.125 2.47905221 8e+06 9368.01275
## 1692 0.11583288 1.09 1.09 0.2 0.125 2.59559303 8e+06 9453.34171
## 1693 0.11231697 1.09 1.09 0.2 0.125 2.38519058 8e+06 9429.49444
## 1694 0.11464600 1.09 1.09 0.2 0.125 2.64994750 8e+06 9450.55132
## 1695 0.11151737 1.09 1.09 0.2 0.125 2.40969853 8e+06 9369.18038
## 1696 0.11120433 1.09 1.09 0.2 0.125 2.68293328 8e+06 9411.75899
## 1697 0.10874900 1.09 1.09 0.2 0.125 2.68104037 8e+06 9500.10889
## 1698 0.11002618 1.09 1.09 0.2 0.125 2.53718207 8e+06 9701.58140
## 1699 0.11106020 1.09 1.09 0.2 0.125 2.65340761 8e+06 9961.14340
## 1700 0.10948737 1.09 1.09 0.2 0.125 2.43466702 8e+06 10066.61104
## 1701 0.11234276 1.09 1.09 0.2 0.125 2.80203547 8e+06 9949.75385
## 1702 0.11197870 1.09 1.09 0.2 0.125 2.63224379 8e+06 9920.29469
## 1703 0.11664711 1.09 1.09 0.2 0.125 2.85062817 8e+06 10162.66373
## 1704 0.11977447 1.09 1.09 0.2 0.125 2.74863169 8e+06 10263.62508
## 1705 0.12183939 1.09 1.09 0.2 0.125 2.58585153 8e+06 10358.11224
## 1706 0.11625659 1.09 1.09 0.2 0.125 2.65138019 8e+06 10238.09772
## 1707 0.11736322 1.09 1.09 0.2 0.125 2.78095520 8e+06 10225.30298
## 1708 0.11793168 1.09 1.09 0.2 0.125 2.79794802 8e+06 10307.01863
## 1709 0.12006832 1.09 1.09 0.2 0.125 2.89179513 8e+06 10277.28856
## 1710 0.12371811 1.09 1.09 0.2 0.125 2.84157552 8e+06 10223.63706
## 1711 0.12541133 1.09 1.09 0.2 0.125 2.64563415 8e+06 10242.43810
## 1712 0.12445451 1.09 1.09 0.2 0.125 2.57107320 8e+06 10228.59744
## 1713 0.12759619 1.09 1.09 0.2 0.125 2.54386965 8e+06 10322.33028
## 1714 0.12750834 1.09 1.09 0.2 0.125 2.35720168 8e+06 10598.23355
## 1715 0.12370961 1.09 1.09 0.2 0.125 2.24313699 8e+06 10603.71112
## 1716 0.12328179 1.09 1.09 0.2 0.125 2.28363164 8e+06 10555.95721
## 1717 0.12328179 1.09 1.09 0.2 0.125 2.28363164 8e+06 10555.95721
## 1718 0.12690210 1.09 1.09 0.2 0.125 2.27633649 8e+06 10585.82596
## 1719 0.12591354 1.09 1.09 0.2 0.125 2.35888260 8e+06 10644.64323
## 1720 0.12745332 1.09 1.09 0.2 0.125 2.42144679 8e+06 10633.59830
## 1721 0.12742256 1.09 1.09 0.2 0.125 2.49904257 8e+06 10540.62124
## 1722 0.12740313 1.09 1.09 0.2 0.125 2.85506122 8e+06 10530.00704
## 1723 0.12703583 1.09 1.09 0.2 0.125 3.46322244 8e+06 10498.50713
## 1724 0.13203255 1.09 1.09 0.2 0.125 3.08558865 8e+06 10646.41059
## 1725 0.13467491 1.09 1.09 0.2 0.125 3.23080566 8e+06 10552.46187
## 1726 0.12493050 1.09 1.09 0.2 0.125 2.53495649 8e+06 10850.59070
## 1727 0.12391299 1.09 1.09 0.2 0.125 3.01376827 8e+06 10751.10885
## 1728 0.13229858 1.09 1.09 0.2 0.125 3.89662162 8e+06 10692.98176
## 1729 0.13110800 1.09 1.09 0.2 0.125 3.54734385 8e+06 10737.11109
## 1730 0.13072189 1.09 1.09 0.2 0.125 3.26979977 8e+06 10855.22951
## 1731 0.12976433 1.09 1.09 0.2 0.125 2.84015089 8e+06 10886.80996
## 1732 0.13327199 1.09 1.09 0.2 0.125 2.30686717 8e+06 11097.10428
## 1733 0.13050819 1.09 1.09 0.2 0.125 2.27728644 8e+06 11159.23492
## 1734 0.13713167 1.09 1.09 0.2 0.125 2.31852314 8e+06 11147.56943
## 1735 0.14429787 1.09 1.09 0.2 0.125 2.49164182 8e+06 11106.09696
## 1736 0.14017999 1.09 1.09 0.2 0.125 2.41002395 8e+06 11340.11805
## 1737 0.13818989 1.09 1.09 0.2 0.125 2.10615423 8e+06 11385.69146
## 1738 0.14008511 1.09 1.09 0.2 0.125 2.18620115 8e+06 11401.62060
## 1739 0.13833186 1.09 1.09 0.2 0.125 2.04219126 8e+06 11410.42026
## 1740 0.13524405 1.09 1.09 0.2 0.125 2.11589210 8e+06 11454.95040
## 1741 0.12974130 1.09 1.09 0.2 0.125 2.33919708 8e+06 11621.19517
## 1742 0.12634584 1.09 1.09 0.2 0.125 2.30619567 8e+06 11704.98267
## 1743 0.12542511 1.09 1.09 0.2 0.125 2.73239758 8e+06 11847.60695
## 1744 0.12230763 1.09 1.09 0.2 0.125 3.18291841 8e+06 11934.60871
## 1745 0.12797970 1.09 1.09 0.2 0.125 3.30715821 8e+06 12033.39911
## 1746 0.12326888 1.09 1.09 0.2 0.125 3.33568384 8e+06 12210.94103
## 1747 0.12356911 1.09 1.09 0.2 0.125 3.63020212 8e+06 12243.85122
## 1748 0.12345977 1.09 1.09 0.2 0.125 3.31182718 8e+06 12553.91860
## 1749 0.12138440 1.09 1.09 0.2 0.125 3.46326795 8e+06 12541.05629
## 1750 0.12325236 1.09 1.09 0.2 0.125 3.21459161 8e+06 12785.92034
## 1751 0.13013691 1.09 1.09 0.2 0.125 3.92704051 8e+06 13324.72182
## 1752 0.13520244 1.09 1.09 0.2 0.125 4.11841723 8e+06 13517.90145
## 1753 0.13449636 1.09 1.09 0.2 0.125 4.53363536 8e+06 13777.09804
## 1754 0.13522113 1.09 1.09 0.2 0.125 4.88917733 8e+06 13747.64484
## 1755 0.14270088 1.09 1.09 0.2 0.125 4.68453548 8e+06 14244.50443
## 1756 0.13575429 1.09 1.09 0.2 0.125 4.70130674 8e+06 14220.93651
## 1757 0.13661665 1.09 1.09 0.2 0.125 4.67809167 8e+06 14389.79999
## 1758 0.13351711 1.09 1.09 0.2 0.125 4.83370956 8e+06 14476.30926
## 1759 0.13826465 1.09 1.09 0.2 0.125 4.39812903 8e+06 14195.99159
## 1760 0.14005522 1.09 1.09 0.2 0.125 4.29372620 8e+06 14133.86731
## 1761 0.13873351 1.09 1.09 0.2 0.125 4.55098151 8e+06 14134.05996
## 1762 0.13858453 1.09 1.09 0.2 0.125 4.74041913 8e+06 14233.97356
## 1763 0.13759797 1.09 1.09 0.2 0.125 5.12464155 8e+06 14320.90893
## 1764 0.13618071 1.09 1.09 0.2 0.125 4.77799787 8e+06 14407.54039
## 1765 0.13915500 1.09 1.09 0.2 0.125 4.79668219 8e+06 14509.85039
## 1766 0.13857341 1.09 1.09 0.2 0.125 4.75520648 8e+06 14525.28802
## 1767 0.13517413 1.09 1.09 0.2 0.125 4.95924329 8e+06 14513.62386
## 1768 0.13517413 1.09 1.09 0.2 0.125 4.95924329 8e+06 14513.62386
## 1769 0.09417536 1.09 1.09 0.2 0.125 0.60157859 8e+06 18982.94067
## 1770 0.09417536 1.09 1.09 0.2 0.125 0.60157859 8e+06 18982.94067
## 1771 0.10162097 1.09 1.09 0.2 0.125 0.65171734 8e+06 18181.80629
## 1772 0.10160482 1.09 1.09 0.2 0.125 0.61691444 8e+06 18105.98477
## 1773 0.09595614 1.09 1.09 0.2 0.125 0.55390565 8e+06 18002.06833
## 1774 0.15792072 1.09 1.09 0.2 0.125 0.53491122 8e+06 18098.23624
## 1775 0.18891959 1.09 1.09 0.2 0.125 0.50146185 8e+06 18339.52312
## 1776 0.18089184 1.09 1.09 0.2 0.125 0.57987946 8e+06 17911.98267
## 1777 0.19732286 1.09 1.09 0.2 0.125 0.60570146 8e+06 18253.83192
## 1778 0.19336696 1.09 1.09 0.2 0.125 0.76527056 8e+06 18349.34358
## 1779 0.20779222 1.09 1.09 0.2 0.125 0.69884126 8e+06 18796.73014
## 1780 0.22689947 1.09 1.09 0.2 0.125 0.74264003 8e+06 18842.46129
## 1781 0.20069516 1.09 1.09 0.2 0.125 0.77569329 8e+06 18694.53599
## 1782 0.24015453 1.09 1.09 0.2 0.125 0.81045926 8e+06 19201.23196
## 1783 0.27663448 1.09 1.09 0.2 0.125 0.81103413 8e+06 18927.39616
## 1784 0.29051472 1.09 1.09 0.2 0.125 0.92265927 8e+06 19101.03395
## 1785 0.36934937 1.09 1.09 0.2 0.125 0.78616182 8e+06 19194.43335
## 1786 0.35573634 1.09 1.09 0.2 0.125 0.65544533 8e+06 19233.26057
## 1787 0.37123134 1.09 1.09 0.2 0.125 0.63771497 8e+06 19521.47915
## 1788 0.37781457 1.09 1.09 0.2 0.125 0.66374739 8e+06 19550.92484
## 1789 0.41810403 1.09 1.09 0.2 0.125 0.72223039 8e+06 19409.74319
## 1790 0.45336148 1.09 1.09 0.2 0.125 0.75495419 8e+06 19270.52218
## 1791 0.48885804 1.09 1.09 0.2 0.125 0.88875271 8e+06 19130.39866
## 1792 0.51214662 1.09 1.09 0.2 0.125 0.89639172 8e+06 19333.73161
## 1793 0.52485200 1.09 1.09 0.2 0.125 0.86933091 8e+06 19538.94846
## 1794 0.53673298 1.09 1.09 0.2 0.125 0.89066217 8e+06 19782.11985
## 1795 0.53726666 1.09 1.09 0.2 0.125 0.97206786 8e+06 19903.96288
## 1796 0.56332970 1.09 1.09 0.2 0.125 0.91846612 8e+06 19846.76254
## 1797 0.57124719 1.09 1.09 0.2 0.125 0.97361413 8e+06 19977.56329
## 1798 0.55993223 1.09 1.09 0.2 0.125 1.10239594 8e+06 19916.45015
## 1799 0.55280354 1.09 1.09 0.2 0.125 1.13487349 8e+06 20611.60539
## 1800 0.56937171 1.09 1.09 0.2 0.125 1.19877922 8e+06 21116.50768
## 1801 0.58536003 1.09 1.09 0.2 0.125 1.17450819 8e+06 21285.04828
## 1802 0.57890581 1.09 1.09 0.2 0.125 1.30687512 8e+06 21115.10740
## 1803 0.58509905 1.09 1.09 0.2 0.125 1.38141384 8e+06 21208.21322
## 1804 0.59582200 1.09 1.09 0.2 0.125 1.57065010 8e+06 21162.85852
## 1805 0.58777113 1.09 1.09 0.2 0.125 1.40719510 8e+06 21470.47051
## 1806 0.59558892 1.09 1.09 0.2 0.125 1.78067639 8e+06 21749.96370
## 1807 0.58341011 1.09 1.09 0.2 0.125 1.74485373 8e+06 21785.30666
## 1808 0.58947315 1.09 1.09 0.2 0.125 1.86938600 8e+06 21821.05239
## 1809 0.58147198 1.09 1.09 0.2 0.125 2.07615868 8e+06 21807.28741
## 1810 0.57266645 1.09 1.09 0.2 0.125 2.09346715 8e+06 22027.49147
## 1811 0.56890948 1.09 1.09 0.2 0.125 2.30481746 8e+06 21977.51790
## 1812 0.58082759 1.09 1.09 0.2 0.125 2.17809286 8e+06 22050.54980
## 1813 0.56690544 1.09 1.09 0.2 0.125 2.08613751 8e+06 22179.54083
## 1814 0.56435738 1.09 1.09 0.2 0.125 2.25839607 8e+06 22243.26383
## 1815 0.57143895 1.09 1.09 0.2 0.125 2.09875835 8e+06 22431.05059
## 1816 0.58011562 1.09 1.09 0.2 0.125 2.09325288 8e+06 22432.52864
## 1817 0.58161556 1.09 1.09 0.2 0.125 2.07654227 8e+06 22442.30671
## 1818 0.58842354 1.09 1.09 0.2 0.125 2.09419169 8e+06 22623.87222
## 1819 0.58633457 1.09 1.09 0.2 0.125 2.05455176 8e+06 22697.21127
## 1820 0.58612172 1.09 1.09 0.2 0.125 1.90504177 8e+06 22825.82900
## 1821 0.58612172 1.09 1.09 0.2 0.125 1.90504177 8e+06 22825.82900
## 1822 0.59895721 1.09 1.09 0.2 0.125 1.90931884 8e+06 22850.01505
## 1823 0.59490187 1.09 1.09 0.2 0.125 2.10302162 8e+06 22963.58730
## 1824 0.60404620 1.09 1.09 0.2 0.125 2.06217090 8e+06 23110.21192
## 1825 0.60217200 1.09 1.09 0.2 0.125 2.26620845 8e+06 23676.74809
## 1826 0.58059881 1.09 1.09 0.2 0.125 2.08132588 8e+06 23667.93057
## 1827 0.57140079 1.09 1.09 0.2 0.125 2.19292819 8e+06 24275.34984
## 1828 0.58023487 1.09 1.09 0.2 0.125 2.54356165 8e+06 24776.49540
## 1829 0.59574849 1.09 1.09 0.2 0.125 2.57877737 8e+06 24926.61956
## 1830 0.57885593 1.09 1.09 0.2 0.125 2.30146256 8e+06 25064.16102
## 1831 0.58072393 1.09 1.09 0.2 0.125 2.28553619 8e+06 25188.39411
## 1832 0.58401635 1.09 1.09 0.2 0.125 2.28111257 8e+06 25238.95189
## 1833 0.59277096 1.09 1.09 0.2 0.125 2.05845879 8e+06 25523.55231
## 1834 0.59899679 1.09 1.09 0.2 0.125 2.23540202 8e+06 25562.01921
## 1835 0.59760731 1.09 1.09 0.2 0.125 2.38803198 8e+06 25586.93837
## 1836 0.60139728 1.09 1.09 0.2 0.125 2.25008064 8e+06 25526.91860
## 1837 0.58642690 1.09 1.09 0.2 0.125 2.33048431 8e+06 25202.63886
## 1838 0.58052203 1.09 1.09 0.2 0.125 2.25743644 8e+06 25600.18320
## 1839 0.58624938 1.09 1.09 0.2 0.125 2.57132971 8e+06 26443.75634
## 1840 0.59134019 1.09 1.09 0.2 0.125 2.43325652 8e+06 26404.19751
## 1841 0.57669970 1.09 1.09 0.2 0.125 2.14741578 8e+06 26579.07163
## 1842 0.60249493 1.09 1.09 0.2 0.125 2.33823525 8e+06 27033.85042
## 1843 0.59870697 1.09 1.09 0.2 0.125 2.37854085 8e+06 27538.22712
## 1844 0.60649667 1.09 1.09 0.2 0.125 2.32319182 8e+06 27998.60575
## 1845 0.60650306 1.09 1.09 0.2 0.125 2.40921679 8e+06 28120.23192
## 1846 0.59818882 1.09 1.09 0.2 0.125 2.50783966 8e+06 28481.50768
## 1847 0.59279349 1.09 1.09 0.2 0.125 2.46564876 8e+06 28501.33444
## 1848 0.58757324 1.09 1.09 0.2 0.125 2.59578614 8e+06 28496.13237
## 1849 0.58957680 1.09 1.09 0.2 0.125 2.55609190 8e+06 28616.54263
## 1850 0.58245084 1.09 1.09 0.2 0.125 3.09427537 8e+06 28548.48339
## 1851 0.57805408 1.09 1.09 0.2 0.125 3.47722852 8e+06 28900.87374
## 1852 0.57610980 1.09 1.09 0.2 0.125 3.66932352 8e+06 29137.10707
## 1853 0.57283217 1.09 1.09 0.2 0.125 3.61756301 8e+06 29315.12850
## 1854 0.56969206 1.09 1.09 0.2 0.125 4.27264262 8e+06 29337.98285
## 1855 0.57928596 1.09 1.09 0.2 0.125 5.48502291 8e+06 29512.27172
## 1856 0.59368964 1.09 1.09 0.2 0.125 5.51658013 8e+06 29689.64031
## 1857 0.59461583 1.09 1.09 0.2 0.125 5.39146710 8e+06 29836.40836
## 1858 0.60540722 1.09 1.09 0.2 0.125 5.00911268 8e+06 29991.70268
## 1859 0.60914878 1.09 1.09 0.2 0.125 4.89131459 8e+06 29930.92885
## 1860 0.61308985 1.09 1.09 0.2 0.125 4.78256395 8e+06 29875.72987
## 1861 0.61027999 1.09 1.09 0.2 0.125 4.65373514 8e+06 30185.54294
## 1862 0.59356955 1.09 1.09 0.2 0.125 4.81822941 8e+06 30166.19638
## 1863 0.58603206 1.09 1.09 0.2 0.125 5.09073948 8e+06 30074.69147
## 1864 0.58196483 1.09 1.09 0.2 0.125 5.37581371 8e+06 30148.84139
## 1865 0.58552310 1.09 1.09 0.2 0.125 5.31873339 8e+06 30102.19116
## 1866 0.58495538 1.09 1.09 0.2 0.125 5.43941889 8e+06 30088.25729
## 1867 0.59505435 1.09 1.09 0.2 0.125 5.71263186 8e+06 30651.47712
## 1868 0.59285152 1.09 1.09 0.2 0.125 5.92504352 8e+06 30802.08645
## 1869 0.59226978 1.09 1.09 0.2 0.125 6.07962347 8e+06 30952.17696
## 1870 0.58944555 1.09 1.09 0.2 0.125 5.76813696 8e+06 31087.42049
## 1871 0.59820335 1.09 1.09 0.2 0.125 6.09882102 8e+06 31440.94745
## 1872 0.59820335 1.09 1.09 0.2 0.125 6.09882102 8e+06 31440.94745
## 1873 0.10769406 1.09 1.09 0.2 0.125 0.36915245 8e+06 14804.01056
## 1874 0.10769406 1.09 1.09 0.2 0.125 0.36915245 8e+06 14804.01056
## 1875 0.10829967 1.09 1.09 0.2 0.125 0.40199314 8e+06 14848.76445
## 1876 0.09732261 1.09 1.09 0.2 0.125 0.37648425 8e+06 14788.51928
## 1877 0.05967901 1.09 1.09 0.2 0.125 0.44246309 8e+06 14660.32424
## 1878 0.05766104 1.09 1.09 0.2 0.125 0.44081999 8e+06 14715.23254
## 1879 0.05232725 1.09 1.09 0.2 0.125 0.48009868 8e+06 14677.73257
## 1880 0.04976233 1.09 1.09 0.2 0.125 0.57657016 8e+06 14814.61357
## 1881 0.04432530 1.09 1.09 0.2 0.125 0.61038697 8e+06 14969.25379
## 1882 0.04825288 1.09 1.09 0.2 0.125 0.64685828 8e+06 14900.77841
## 1883 0.04630035 1.09 1.09 0.2 0.125 0.73242917 8e+06 14819.52967
## 1884 0.04680506 1.09 1.09 0.2 0.125 0.89377533 8e+06 14721.30401
## 1885 0.05170304 1.09 1.09 0.2 0.125 1.04278254 8e+06 14410.40688
## 1886 0.06210901 1.09 1.09 0.2 0.125 1.03443217 8e+06 14248.90792
## 1887 0.06894303 1.09 1.09 0.2 0.125 1.11986806 8e+06 14095.91906
## 1888 0.07395820 1.09 1.09 0.2 0.125 1.29730013 8e+06 14030.07646
## 1889 0.07487281 1.09 1.09 0.2 0.125 1.42628187 8e+06 14095.03540
## 1890 0.08123990 1.09 1.09 0.2 0.125 1.58979592 8e+06 14105.45228
## 1891 0.08906765 1.09 1.09 0.2 0.125 1.61952358 8e+06 14246.40841
## 1892 0.09743712 1.09 1.09 0.2 0.125 1.61243153 8e+06 14360.84047
## 1893 0.10411085 1.09 1.09 0.2 0.125 1.53785440 8e+06 14395.81633
## 1894 0.10563466 1.09 1.09 0.2 0.125 1.63462683 8e+06 14585.68554
## 1895 0.11013481 1.09 1.09 0.2 0.125 1.88792453 8e+06 14833.49240
## 1896 0.11912029 1.09 1.09 0.2 0.125 1.92956488 8e+06 15072.81155
## 1897 0.12155849 1.09 1.09 0.2 0.125 1.96450591 8e+06 15217.94005
## 1898 0.11985960 1.09 1.09 0.2 0.125 2.01884494 8e+06 15180.08479
## 1899 0.12491332 1.09 1.09 0.2 0.125 2.07623655 8e+06 15260.42935
## 1900 0.12408678 1.09 1.09 0.2 0.125 2.17059824 8e+06 15255.50713
## 1901 0.12627396 1.09 1.09 0.2 0.125 2.50920619 8e+06 15420.07686
## 1902 0.13210232 1.09 1.09 0.2 0.125 2.71744525 8e+06 15452.67649
## 1903 0.13666411 1.09 1.09 0.2 0.125 2.97167394 8e+06 15398.75675
## 1904 0.13312268 1.09 1.09 0.2 0.125 3.05184027 8e+06 15519.24684
## 1905 0.13160028 1.09 1.09 0.2 0.125 3.20258908 8e+06 15664.16478
## 1906 0.13080046 1.09 1.09 0.2 0.125 3.32952558 8e+06 15737.67298
## 1907 0.13158118 1.09 1.09 0.2 0.125 3.33101410 8e+06 15712.95136
## 1908 0.13186323 1.09 1.09 0.2 0.125 3.54194997 8e+06 15620.96679
## 1909 0.12989227 1.09 1.09 0.2 0.125 3.23866990 8e+06 15585.75667
## 1910 0.13081324 1.09 1.09 0.2 0.125 3.44254452 8e+06 15636.69444
## 1911 0.12689611 1.09 1.09 0.2 0.125 3.97517005 8e+06 15698.13821
## 1912 0.12522156 1.09 1.09 0.2 0.125 4.51137563 8e+06 15776.71682
## 1913 0.12603775 1.09 1.09 0.2 0.125 4.74088031 8e+06 15876.14291
## 1914 0.13006911 1.09 1.09 0.2 0.125 5.06980509 8e+06 16016.95944
## 1915 0.12750729 1.09 1.09 0.2 0.125 5.70756505 8e+06 16096.55365
## 1916 0.12924143 1.09 1.09 0.2 0.125 6.29006403 8e+06 16203.94181
## 1917 0.12839274 1.09 1.09 0.2 0.125 6.85615351 8e+06 16481.50527
## 1918 0.12561646 1.09 1.09 0.2 0.125 7.25984867 8e+06 16558.80412
## 1919 0.12642238 1.09 1.09 0.2 0.125 7.68925293 8e+06 16651.09005
## 1920 0.12302803 1.09 1.09 0.2 0.125 8.51973036 8e+06 16715.77569
## 1921 0.12122868 1.09 1.09 0.2 0.125 8.86952981 8e+06 16672.80524
## 1922 0.12642946 1.09 1.09 0.2 0.125 8.31512249 8e+06 16651.49538
## 1923 0.12220401 1.09 1.09 0.2 0.125 9.95028365 8e+06 16788.57954
## 1924 0.12157953 1.09 1.09 0.2 0.125 11.60104058 8e+06 17076.08410
## 1925 0.12157953 1.09 1.09 0.2 0.125 11.60104058 8e+06 17076.08410
## 1926 0.12588396 1.09 1.09 0.2 0.125 11.68203647 8e+06 17079.41488
## 1927 0.12333726 1.09 1.09 0.2 0.125 11.60788502 8e+06 17040.29077
## 1928 0.12518586 1.09 1.09 0.2 0.125 10.64677409 8e+06 17280.77407
## 1929 0.12460077 1.09 1.09 0.2 0.125 11.53724489 8e+06 17617.60719
## 1930 0.13008022 1.09 1.09 0.2 0.125 11.16498016 8e+06 17866.56840
## 1931 0.13460597 1.09 1.09 0.2 0.125 11.48258666 8e+06 18133.99873
## 1932 0.13087823 1.09 1.09 0.2 0.125 11.45126159 8e+06 18494.18547
## 1933 0.13453027 1.09 1.09 0.2 0.125 12.30218812 8e+06 18706.46210
## 1934 0.13227969 1.09 1.09 0.2 0.125 11.12026369 8e+06 18752.92150
## 1935 0.12641457 1.09 1.09 0.2 0.125 9.68461803 8e+06 19304.16390
## 1936 0.12416555 1.09 1.09 0.2 0.125 8.28697414 8e+06 20293.67791
## 1937 0.12102112 1.09 1.09 0.2 0.125 8.44490332 8e+06 21009.58388
## 1938 0.12326758 1.09 1.09 0.2 0.125 7.66016658 8e+06 21160.25910
## 1939 0.12707724 1.09 1.09 0.2 0.125 7.31288631 8e+06 21291.21049
## 1940 0.12709366 1.09 1.09 0.2 0.125 7.83167594 8e+06 21425.46026
## 1941 0.13861567 1.09 1.09 0.2 0.125 8.51825413 8e+06 21676.42349
## 1942 0.13675472 1.09 1.09 0.2 0.125 8.24187815 8e+06 21523.63126
## 1943 0.13904557 1.09 1.09 0.2 0.125 7.95799872 8e+06 21417.34641
## 1944 0.13628133 1.09 1.09 0.2 0.125 7.61800573 8e+06 21297.93796
## 1945 0.13730620 1.09 1.09 0.2 0.125 7.76992155 8e+06 21221.52211
## 1946 0.13586124 1.09 1.09 0.2 0.125 7.64529440 8e+06 21064.36747
## 1947 0.13760403 1.09 1.09 0.2 0.125 7.85917141 8e+06 21146.88477
## 1948 0.13749367 1.09 1.09 0.2 0.125 7.73667175 8e+06 21295.20517
## 1949 0.13423500 1.09 1.09 0.2 0.125 8.48978051 8e+06 21371.32694
## 1950 0.13000436 1.09 1.09 0.2 0.125 8.10867336 8e+06 21575.02418
## 1951 0.13026954 1.09 1.09 0.2 0.125 7.98866052 8e+06 21524.90001
## 1952 0.12629233 1.09 1.09 0.2 0.125 6.61889423 8e+06 21409.59360
## 1953 0.12495751 1.09 1.09 0.2 0.125 6.82126110 8e+06 21428.95507
## 1954 0.12979043 1.09 1.09 0.2 0.125 6.50268647 8e+06 21358.93246
## 1955 0.13102859 1.09 1.09 0.2 0.125 6.21454131 8e+06 21435.48857
## 1956 0.13235245 1.09 1.09 0.2 0.125 6.19176489 8e+06 21583.82225
## 1957 0.14316291 1.09 1.09 0.2 0.125 6.19359447 8e+06 21504.72709
## 1958 0.14430407 1.09 1.09 0.2 0.125 6.32758177 8e+06 21406.17496
## 1959 0.14505492 1.09 1.09 0.2 0.125 6.25868169 8e+06 21413.97337
## 1960 0.14004895 1.09 1.09 0.2 0.125 6.17192529 8e+06 21461.46169
## 1961 0.13932847 1.09 1.09 0.2 0.125 6.74788736 8e+06 21545.91420
## 1962 0.14498951 1.09 1.09 0.2 0.125 7.16195672 8e+06 21565.26238
## 1963 0.14220905 1.09 1.09 0.2 0.125 7.16241304 8e+06 21804.93397
## 1964 0.14015321 1.09 1.09 0.2 0.125 6.95355257 8e+06 21786.17792
## 1965 0.14183177 1.09 1.09 0.2 0.125 6.94495165 8e+06 22158.76917
## 1966 0.14725510 1.09 1.09 0.2 0.125 7.61955599 8e+06 22229.56306
## 1967 0.14844151 1.09 1.09 0.2 0.125 7.04612681 8e+06 22610.94336
## 1968 0.15174056 1.09 1.09 0.2 0.125 6.83519446 8e+06 22872.82102
## 1969 0.15188258 1.09 1.09 0.2 0.125 6.37485675 8e+06 22972.22669
## 1970 0.15174623 1.09 1.09 0.2 0.125 6.43719497 8e+06 23078.23466
## 1971 0.14926844 1.09 1.09 0.2 0.125 6.55567369 8e+06 23131.42000
## 1972 0.14596993 1.09 1.09 0.2 0.125 6.40766477 8e+06 23192.87883
## 1973 0.14962239 1.09 1.09 0.2 0.125 7.01220446 8e+06 23054.98567
## 1974 0.14802680 1.09 1.09 0.2 0.125 7.34364784 8e+06 22940.07703
## 1975 0.15337436 1.09 1.09 0.2 0.125 7.62768426 8e+06 22978.82122
## 1976 0.15337436 1.09 1.09 0.2 0.125 7.62768426 8e+06 22978.82122
## 1977 0.08483578 1.09 1.09 0.2 0.125 0.31348836 8e+06 19865.48634
## 1978 0.08483578 1.09 1.09 0.2 0.125 0.31348836 8e+06 19865.48634
## 1979 0.09131041 1.09 1.09 0.2 0.125 0.33710018 8e+06 19710.66980
## 1980 0.08444652 1.09 1.09 0.2 0.125 0.33824933 8e+06 19721.80018
## 1981 0.09273483 1.09 1.09 0.2 0.125 0.38757154 8e+06 19622.81022
## 1982 0.08655068 1.09 1.09 0.2 0.125 0.52345247 8e+06 19560.39758
## 1983 0.08242007 1.09 1.09 0.2 0.125 0.68382912 8e+06 19655.59887
## 1984 0.08696217 1.09 1.09 0.2 0.125 0.81869549 8e+06 19740.24662
## 1985 0.08771245 1.09 1.09 0.2 0.125 0.86046125 8e+06 19939.01209
## 1986 0.09695969 1.09 1.09 0.2 0.125 0.89798247 8e+06 19710.57138
## 1987 0.11321368 1.09 1.09 0.2 0.125 0.85825352 8e+06 19997.40037
## 1988 0.12172032 1.09 1.09 0.2 0.125 0.91261247 8e+06 20420.87426
## 1989 0.12929219 1.09 1.09 0.2 0.125 0.92471412 8e+06 20643.54306
## 1990 0.13588191 1.09 1.09 0.2 0.125 1.00008654 8e+06 20691.28150
## 1991 0.13641338 1.09 1.09 0.2 0.125 1.11188941 8e+06 20670.41943
## 1992 0.13744867 1.09 1.09 0.2 0.125 1.11461931 8e+06 20592.85816
## 1993 0.13777655 1.09 1.09 0.2 0.125 1.20900756 8e+06 20287.30066
## 1994 0.13869799 1.09 1.09 0.2 0.125 1.25469510 8e+06 20387.70067
## 1995 0.15941006 1.09 1.09 0.2 0.125 1.25418737 8e+06 20860.96898
## 1996 0.15465889 1.09 1.09 0.2 0.125 1.26853951 8e+06 20829.46195
## 1997 0.15680855 1.09 1.09 0.2 0.125 1.31409136 8e+06 21208.17842
## 1998 0.15259413 1.09 1.09 0.2 0.125 1.41718016 8e+06 21423.34225
## 1999 0.14758655 1.09 1.09 0.2 0.125 1.66890495 8e+06 21843.68031
## 2000 0.14877955 1.09 1.09 0.2 0.125 1.72313548 8e+06 22264.34826
## 2001 0.14098061 1.09 1.09 0.2 0.125 1.84285016 8e+06 22281.80950
## 2002 0.14236466 1.09 1.09 0.2 0.125 1.92225642 8e+06 22619.56632
## 2003 0.13757067 1.09 1.09 0.2 0.125 1.91936598 8e+06 22675.32409
## 2004 0.13923865 1.09 1.09 0.2 0.125 1.92597810 8e+06 22590.40008
## 2005 0.14219435 1.09 1.09 0.2 0.125 2.00646548 8e+06 22512.19116
## 2006 0.14650102 1.09 1.09 0.2 0.125 2.01073112 8e+06 22585.91586
## 2007 0.14427431 1.09 1.09 0.2 0.125 2.16454875 8e+06 22402.16579
## 2008 0.13805729 1.09 1.09 0.2 0.125 2.15348493 8e+06 22443.75454
## 2009 0.13730171 1.09 1.09 0.2 0.125 2.14189416 8e+06 22374.61458
## 2010 0.13960036 1.09 1.09 0.2 0.125 2.15632569 8e+06 22378.58884
## 2011 0.13754825 1.09 1.09 0.2 0.125 2.17219601 8e+06 22283.14187
## 2012 0.14073430 1.09 1.09 0.2 0.125 2.13446864 8e+06 22326.82660
## 2013 0.14078678 1.09 1.09 0.2 0.125 2.17640573 8e+06 22129.53385
## 2014 0.13667322 1.09 1.09 0.2 0.125 2.27264975 8e+06 22049.94833
## 2015 0.13257726 1.09 1.09 0.2 0.125 2.37180039 8e+06 21940.08597
## 2016 0.12535851 1.09 1.09 0.2 0.125 2.58794942 8e+06 21917.31721
## 2017 0.12725411 1.09 1.09 0.2 0.125 2.66744808 8e+06 22102.45369
## 2018 0.12905311 1.09 1.09 0.2 0.125 2.63498110 8e+06 22140.12698
## 2019 0.13200358 1.09 1.09 0.2 0.125 2.69413623 8e+06 22142.96277
## 2020 0.13232464 1.09 1.09 0.2 0.125 2.77872325 8e+06 22122.64252
## 2021 0.13050880 1.09 1.09 0.2 0.125 2.88151274 8e+06 22174.85482
## 2022 0.13195804 1.09 1.09 0.2 0.125 2.87752817 8e+06 22329.36401
## 2023 0.12848526 1.09 1.09 0.2 0.125 3.09030477 8e+06 22513.77768
## 2024 0.12824790 1.09 1.09 0.2 0.125 3.08221835 8e+06 22740.74517
## 2025 0.12818632 1.09 1.09 0.2 0.125 3.35362311 8e+06 22955.00758
## 2026 0.12627118 1.09 1.09 0.2 0.125 3.65119207 8e+06 23032.60970
## 2027 0.12544358 1.09 1.09 0.2 0.125 3.79494707 8e+06 23276.88084
## 2028 0.12852662 1.09 1.09 0.2 0.125 3.84932993 8e+06 23241.02904
## 2029 0.12852662 1.09 1.09 0.2 0.125 3.84932993 8e+06 23241.02904
## 2030 0.12946799 1.09 1.09 0.2 0.125 3.83298478 8e+06 23231.77535
## 2031 0.13208835 1.09 1.09 0.2 0.125 3.97628330 8e+06 23102.91037
## 2032 0.13474779 1.09 1.09 0.2 0.125 3.87890654 8e+06 23130.18514
## 2033 0.13340516 1.09 1.09 0.2 0.125 3.89364400 8e+06 23229.64235
## 2034 0.13729577 1.09 1.09 0.2 0.125 3.94882808 8e+06 23273.89440
## 2035 0.13581174 1.09 1.09 0.2 0.125 4.39684837 8e+06 23461.70987
## 2036 0.14343025 1.09 1.09 0.2 0.125 4.37004796 8e+06 23353.75742
## 2037 0.13972109 1.09 1.09 0.2 0.125 4.31627324 8e+06 23934.99041
## 2038 0.13658384 1.09 1.09 0.2 0.125 3.79974618 8e+06 24001.08587
## 2039 0.14199260 1.09 1.09 0.2 0.125 3.86935896 8e+06 24487.40316
## 2040 0.13961680 1.09 1.09 0.2 0.125 4.50814124 8e+06 24721.13466
## 2041 0.14267120 1.09 1.09 0.2 0.125 4.10114429 8e+06 24810.63983
## 2042 0.13976223 1.09 1.09 0.2 0.125 3.81892853 8e+06 24847.56267
## 2043 0.14235387 1.09 1.09 0.2 0.125 3.85501422 8e+06 25307.88621
## 2044 0.13895798 1.09 1.09 0.2 0.125 3.88144190 8e+06 25650.56243
## 2045 0.14561021 1.09 1.09 0.2 0.125 4.19416292 8e+06 25601.37790
## 2046 0.14603389 1.09 1.09 0.2 0.125 4.06346852 8e+06 25889.94437
## 2047 0.14692315 1.09 1.09 0.2 0.125 4.21638064 8e+06 26341.74624
## 2048 0.14019308 1.09 1.09 0.2 0.125 4.67979059 8e+06 26461.53307
## 2049 0.13760760 1.09 1.09 0.2 0.125 4.49822031 8e+06 26674.40123
## 2050 0.14740395 1.09 1.09 0.2 0.125 4.62390593 8e+06 27003.64662
## 2051 0.15471565 1.09 1.09 0.2 0.125 4.97999263 8e+06 26921.94794
## 2052 0.15741713 1.09 1.09 0.2 0.125 5.85502339 8e+06 26785.58365
## 2053 0.15941255 1.09 1.09 0.2 0.125 5.73429370 8e+06 26776.42923
## 2054 0.15528093 1.09 1.09 0.2 0.125 5.92076146 8e+06 27088.04313
## 2055 0.14982807 1.09 1.09 0.2 0.125 5.77279185 8e+06 27625.01696
## 2056 0.14813858 1.09 1.09 0.2 0.125 5.93447061 8e+06 27850.51144
## 2057 0.14973663 1.09 1.09 0.2 0.125 5.34962027 8e+06 28303.02601
## 2058 0.15322889 1.09 1.09 0.2 0.125 5.35281805 8e+06 28510.10967
## 2059 0.15276196 1.09 1.09 0.2 0.125 5.43875164 8e+06 28832.12791
## 2060 0.15316545 1.09 1.09 0.2 0.125 5.65794086 8e+06 29055.63134
## 2061 0.15219913 1.09 1.09 0.2 0.125 5.93163685 8e+06 29296.57865
## 2062 0.14870290 1.09 1.09 0.2 0.125 5.27717615 8e+06 29958.07072
## 2063 0.15438379 1.09 1.09 0.2 0.125 5.54601099 8e+06 29890.95375
## 2064 0.15251795 1.09 1.09 0.2 0.125 5.52696439 8e+06 29851.63954
## 2065 0.15461625 1.09 1.09 0.2 0.125 5.72789132 8e+06 30091.09619
## 2066 0.15382366 1.09 1.09 0.2 0.125 5.14149199 8e+06 30460.46441
## 2067 0.15040704 1.09 1.09 0.2 0.125 4.47464811 8e+06 30701.32823
## 2068 0.15065117 1.09 1.09 0.2 0.125 4.62997708 8e+06 30869.17755
## 2069 0.15056902 1.09 1.09 0.2 0.125 4.42067324 8e+06 30874.88978
## 2070 0.15186974 1.09 1.09 0.2 0.125 4.40199061 8e+06 30840.07816
## 2071 0.14914435 1.09 1.09 0.2 0.125 4.62550366 8e+06 30828.29617
## 2072 0.15424609 1.09 1.09 0.2 0.125 4.83576511 8e+06 30929.20338
## 2073 0.15030923 1.09 1.09 0.2 0.125 4.79443390 8e+06 30740.21866
## 2074 0.15394975 1.09 1.09 0.2 0.125 5.04444602 8e+06 30965.92639
## 2075 0.15251663 1.09 1.09 0.2 0.125 5.04509007 8e+06 30923.84898
## 2076 0.15586164 1.09 1.09 0.2 0.125 5.35590092 8e+06 31207.54781
## 2077 0.15499280 1.09 1.09 0.2 0.125 5.81797313 8e+06 31750.88670
## 2078 0.15522994 1.09 1.09 0.2 0.125 6.21996962 8e+06 32557.21026
## 2079 0.15651660 1.09 1.09 0.2 0.125 5.92426486 8e+06 32762.86269
## 2080 0.15651660 1.09 1.09 0.2 0.125 5.92426486 8e+06 32762.86269
## 2081 0.30466923 1.09 1.09 0.2 0.125 0.56771801 8e+06 9351.63654
## 2082 0.30466923 1.09 1.09 0.2 0.125 0.56771801 8e+06 9351.63654
## 2083 0.28606716 1.09 1.09 0.2 0.125 0.52713504 8e+06 9242.18654
## 2084 0.37511579 1.09 1.09 0.2 0.125 0.50795099 8e+06 9502.02855
## 2085 0.40472582 1.09 1.09 0.2 0.125 0.45724171 8e+06 9652.57935
## 2086 0.37591663 1.09 1.09 0.2 0.125 0.49714583 8e+06 9347.40250
## 2087 0.34578339 1.09 1.09 0.2 0.125 0.63581805 8e+06 9712.83554
## 2088 0.36950771 1.09 1.09 0.2 0.125 0.49625161 8e+06 10002.18969
## 2089 0.34966165 1.09 1.09 0.2 0.125 0.54623093 8e+06 10045.33404
## 2090 0.31558234 1.09 1.09 0.2 0.125 0.62312028 8e+06 9985.39000
## 2091 0.29920837 1.09 1.09 0.2 0.125 0.71985963 8e+06 9911.48913
## 2092 0.28349161 1.09 1.09 0.2 0.125 0.77978019 8e+06 9848.74725
## 2093 0.28096192 1.09 1.09 0.2 0.125 0.79145722 8e+06 9943.28525
## 2094 0.26795717 1.09 1.09 0.2 0.125 0.86164670 8e+06 10036.86356
## 2095 0.26664866 1.09 1.09 0.2 0.125 0.93618701 8e+06 10188.56344
## 2096 0.26579868 1.09 1.09 0.2 0.125 0.99292061 8e+06 10220.85479
## 2097 0.24801794 1.09 1.09 0.2 0.125 1.07363479 8e+06 10268.46052
## 2098 0.24898584 1.09 1.09 0.2 0.125 1.10078980 8e+06 10333.50683
## 2099 0.25226061 1.09 1.09 0.2 0.125 1.21982748 8e+06 10276.71014
## 2100 0.24194264 1.09 1.09 0.2 0.125 1.35360507 8e+06 10425.92193
## 2101 0.23692004 1.09 1.09 0.2 0.125 1.47904396 8e+06 10586.04467
## 2102 0.23783349 1.09 1.09 0.2 0.125 1.72617033 8e+06 10545.18755
## 2103 0.23800936 1.09 1.09 0.2 0.125 1.79074440 8e+06 10508.10782
## 2104 0.23454561 1.09 1.09 0.2 0.125 1.81369989 8e+06 10477.44717
## 2105 0.23435485 1.09 1.09 0.2 0.125 1.72869927 8e+06 10354.85415
## 2106 0.23560011 1.09 1.09 0.2 0.125 1.71820637 8e+06 10480.83611
## 2107 0.22762736 1.09 1.09 0.2 0.125 1.71966409 8e+06 10055.81428
## 2108 0.22785339 1.09 1.09 0.2 0.125 1.86190939 8e+06 9817.97373
## 2109 0.23039542 1.09 1.09 0.2 0.125 1.93616358 8e+06 9891.06681
## 2110 0.23031347 1.09 1.09 0.2 0.125 2.03553117 8e+06 9687.43158
## 2111 0.22445294 1.09 1.09 0.2 0.125 2.06917266 8e+06 9646.24717
## 2112 0.22409288 1.09 1.09 0.2 0.125 2.35729026 8e+06 9444.51528
## 2113 0.22574247 1.09 1.09 0.2 0.125 2.44735871 8e+06 9316.74744
## 2114 0.22627558 1.09 1.09 0.2 0.125 2.55078303 8e+06 9414.66512
## 2115 0.22012924 1.09 1.09 0.2 0.125 2.54174366 8e+06 9437.80173
## 2116 0.21741703 1.09 1.09 0.2 0.125 2.52300103 8e+06 9573.23773
## 2117 0.22079621 1.09 1.09 0.2 0.125 2.71709752 8e+06 9481.37431
## 2118 0.22356685 1.09 1.09 0.2 0.125 2.79524626 8e+06 9662.74897
## 2119 0.22550413 1.09 1.09 0.2 0.125 2.89444628 8e+06 9561.52088
## 2120 0.22699975 1.09 1.09 0.2 0.125 2.83722871 8e+06 9615.56123
## 2121 0.22741527 1.09 1.09 0.2 0.125 2.86711725 8e+06 9760.34313
## 2122 0.22343182 1.09 1.09 0.2 0.125 2.85795943 8e+06 9760.09824
## 2123 0.21664140 1.09 1.09 0.2 0.125 2.90822987 8e+06 9826.89047
## 2124 0.21300170 1.09 1.09 0.2 0.125 3.05847727 8e+06 9864.29041
## 2125 0.21780442 1.09 1.09 0.2 0.125 3.05749036 8e+06 9828.50738
## 2126 0.21659045 1.09 1.09 0.2 0.125 3.08737302 8e+06 9877.40683
## 2127 0.21975952 1.09 1.09 0.2 0.125 3.14334505 8e+06 9874.99518
## 2128 0.22143528 1.09 1.09 0.2 0.125 3.29898509 8e+06 9862.24397
## 2129 0.21825123 1.09 1.09 0.2 0.125 3.35252542 8e+06 9845.64899
## 2130 0.21679573 1.09 1.09 0.2 0.125 3.38168991 8e+06 9862.63940
## 2131 0.21702248 1.09 1.09 0.2 0.125 3.39668236 8e+06 9892.72706
## 2132 0.21649181 1.09 1.09 0.2 0.125 3.62228758 8e+06 9864.39571
## 2133 0.21649181 1.09 1.09 0.2 0.125 3.62228758 8e+06 9864.39571
## 2134 0.21960822 1.09 1.09 0.2 0.125 3.57793104 8e+06 9894.50584
## 2135 0.22604588 1.09 1.09 0.2 0.125 3.65404773 8e+06 9892.31887
## 2136 0.21546577 1.09 1.09 0.2 0.125 3.67708247 8e+06 9860.77542
## 2137 0.21851939 1.09 1.09 0.2 0.125 3.63328100 8e+06 9863.15939
## 2138 0.21885785 1.09 1.09 0.2 0.125 3.73098041 8e+06 9817.49492
## 2139 0.22059118 1.09 1.09 0.2 0.125 3.67727752 8e+06 9860.48831
## 2140 0.21724145 1.09 1.09 0.2 0.125 3.67590597 8e+06 9889.18051
## 2141 0.22438411 1.09 1.09 0.2 0.125 3.40418456 8e+06 9856.69011
## 2142 0.21656001 1.09 1.09 0.2 0.125 3.48097385 8e+06 9809.11051
## 2143 0.21719589 1.09 1.09 0.2 0.125 3.69302692 8e+06 9840.72371
## 2144 0.20926362 1.09 1.09 0.2 0.125 3.39087715 8e+06 9876.43032
## 2145 0.21547418 1.09 1.09 0.2 0.125 3.61681149 8e+06 9926.40669
## 2146 0.21876659 1.09 1.09 0.2 0.125 3.66966746 8e+06 9968.14362
## 2147 0.22108048 1.09 1.09 0.2 0.125 3.81710121 8e+06 10151.92658
## 2148 0.21726175 1.09 1.09 0.2 0.125 4.00240982 8e+06 10300.72842
## 2149 0.21009011 1.09 1.09 0.2 0.125 4.10372904 8e+06 10280.03661
## 2150 0.20625013 1.09 1.09 0.2 0.125 3.86244616 8e+06 10327.35941
## 2151 0.19911700 1.09 1.09 0.2 0.125 3.50303966 8e+06 10392.83319
## 2152 0.20125736 1.09 1.09 0.2 0.125 3.14569842 8e+06 10409.90496
## 2153 0.20465608 1.09 1.09 0.2 0.125 3.73053510 8e+06 10426.19864
## 2154 0.20715489 1.09 1.09 0.2 0.125 4.12800133 8e+06 10411.96178
## 2155 0.20597363 1.09 1.09 0.2 0.125 3.89632331 8e+06 10448.25828
## 2156 0.19852806 1.09 1.09 0.2 0.125 3.52694414 8e+06 10446.80932
## 2157 0.19383135 1.09 1.09 0.2 0.125 3.92573799 8e+06 10431.22935
## 2158 0.20205076 1.09 1.09 0.2 0.125 4.24111431 8e+06 10376.61512
## 2159 0.19356480 1.09 1.09 0.2 0.125 4.22497682 8e+06 10402.36176
## 2160 0.19458763 1.09 1.09 0.2 0.125 4.23908929 8e+06 10442.74319
## 2161 0.19989691 1.09 1.09 0.2 0.125 4.27706624 8e+06 10557.81410
## 2162 0.20063392 1.09 1.09 0.2 0.125 4.61005704 8e+06 10446.63236
## 2163 0.19185344 1.09 1.09 0.2 0.125 4.99647877 8e+06 10414.76912
## 2164 0.18820976 1.09 1.09 0.2 0.125 5.19284191 8e+06 10425.47335
## 2165 0.18905235 1.09 1.09 0.2 0.125 5.15970927 8e+06 10469.23911
## 2166 0.19132796 1.09 1.09 0.2 0.125 5.00438683 8e+06 10491.48771
## 2167 0.19484630 1.09 1.09 0.2 0.125 5.20297055 8e+06 10425.61345
## 2168 0.19395242 1.09 1.09 0.2 0.125 4.79429049 8e+06 10482.60747
## 2169 0.19861591 1.09 1.09 0.2 0.125 4.80322610 8e+06 10445.30037
## 2170 0.19422625 1.09 1.09 0.2 0.125 4.79760987 8e+06 10354.33327
## 2171 0.19880411 1.09 1.09 0.2 0.125 4.74879597 8e+06 10252.12464
## 2172 0.20287247 1.09 1.09 0.2 0.125 5.02128030 8e+06 10249.05764
## 2173 0.20327176 1.09 1.09 0.2 0.125 4.54650011 8e+06 10329.99827
## 2174 0.20359781 1.09 1.09 0.2 0.125 4.51078958 8e+06 10340.55856
## 2175 0.20366151 1.09 1.09 0.2 0.125 4.76298162 8e+06 10499.80802
## 2176 0.20228649 1.09 1.09 0.2 0.125 4.55816848 8e+06 10496.33680
## 2177 0.20093999 1.09 1.09 0.2 0.125 4.41359915 8e+06 10454.74609
## 2178 0.20024422 1.09 1.09 0.2 0.125 4.60774180 8e+06 10475.43569
## 2179 0.19821943 1.09 1.09 0.2 0.125 4.68284193 8e+06 10472.98735
## 2180 0.20050611 1.09 1.09 0.2 0.125 4.67717992 8e+06 10510.47876
## 2181 0.20147576 1.09 1.09 0.2 0.125 4.61709191 8e+06 10650.24998
## 2182 0.19426914 1.09 1.09 0.2 0.125 6.04602633 8e+06 10487.92465
## 2183 0.19888642 1.09 1.09 0.2 0.125 7.34003059 8e+06 10389.10915
## 2184 0.19888642 1.09 1.09 0.2 0.125 7.34003059 8e+06 10389.10915
## 2185 0.38425418 1.09 1.09 0.2 0.125 0.99951405 8e+06 6352.33884
## 2186 0.38425418 1.09 1.09 0.2 0.125 0.99951405 8e+06 6352.33884
## 2187 0.50540629 1.09 1.09 0.2 0.125 1.00370604 8e+06 6282.83635
## 2188 0.43000608 1.09 1.09 0.2 0.125 0.98902608 8e+06 6360.49847
## 2189 0.46045671 1.09 1.09 0.2 0.125 1.07381970 8e+06 6180.55222
## 2190 0.50605588 1.09 1.09 0.2 0.125 1.83394348 8e+06 6335.21416
## 2191 0.49353269 1.09 1.09 0.2 0.125 1.79136956 8e+06 6461.12161
## 2192 0.47632549 1.09 1.09 0.2 0.125 1.90308237 8e+06 6536.95705
## 2193 0.45514020 1.09 1.09 0.2 0.125 2.10715056 8e+06 6513.91520
## 2194 0.50425308 1.09 1.09 0.2 0.125 2.13536722 8e+06 6611.97914
## 2195 0.53375963 1.09 1.09 0.2 0.125 2.14331760 8e+06 6428.30114
## 2196 0.53848039 1.09 1.09 0.2 0.125 1.78721142 8e+06 6552.82538
## 2197 0.53705302 1.09 1.09 0.2 0.125 2.41392025 8e+06 6289.66842
## 2198 0.53328730 1.09 1.09 0.2 0.125 2.53509142 8e+06 6206.02940
## 2199 0.52872179 1.09 1.09 0.2 0.125 2.85366628 8e+06 6177.68721
## 2200 0.49933800 1.09 1.09 0.2 0.125 2.94429066 8e+06 6248.93275
## 2201 0.34784698 1.09 1.09 0.2 0.125 3.32058808 8e+06 6180.08583
## 2202 0.28681100 1.09 1.09 0.2 0.125 3.65659611 8e+06 6067.50675
## 2203 0.24213238 1.09 1.09 0.2 0.125 3.42739234 8e+06 6045.10328
## 2204 0.16591843 1.09 1.09 0.2 0.125 4.60006325 8e+06 6017.66043
## 2205 0.12091992 1.09 1.09 0.2 0.125 4.25605964 8e+06 5953.75031
## 2206 0.08727416 1.09 1.09 0.2 0.125 4.72287288 8e+06 5917.69394
## 2207 0.06754936 1.09 1.09 0.2 0.125 4.30644472 8e+06 5779.60753
## 2208 0.06434466 1.09 1.09 0.2 0.125 4.26927848 8e+06 5750.86369
## 2209 0.05706746 1.09 1.09 0.2 0.125 4.26483205 8e+06 5770.04085
## 2210 0.05283214 1.09 1.09 0.2 0.125 4.19373104 8e+06 5780.35796
## 2211 0.04646491 1.09 1.09 0.2 0.125 4.15775520 8e+06 5747.08182
## 2212 0.03944198 1.09 1.09 0.2 0.125 4.02081092 8e+06 5743.67573
## 2213 0.04120703 1.09 1.09 0.2 0.125 4.00496559 8e+06 5767.65007
## 2214 0.03995275 1.09 1.09 0.2 0.125 4.42068810 8e+06 5819.41477
## 2215 0.04417918 1.09 1.09 0.2 0.125 5.11677532 8e+06 5840.08451
## 2216 0.04285731 1.09 1.09 0.2 0.125 7.81740839 8e+06 5764.45747
## 2217 0.04247077 1.09 1.09 0.2 0.125 8.41601166 8e+06 5660.38002
## 2218 0.04491554 1.09 1.09 0.2 0.125 8.29100712 8e+06 5737.95646
## 2219 0.04386546 1.09 1.09 0.2 0.125 7.82644351 8e+06 5663.14021
## 2220 0.04743089 1.09 1.09 0.2 0.125 7.42098428 8e+06 5661.42177
## 2221 0.04867458 1.09 1.09 0.2 0.125 7.33798692 8e+06 5623.01347
## 2222 0.05669723 1.09 1.09 0.2 0.125 7.19546228 8e+06 5610.73556
## 2223 0.05866193 1.09 1.09 0.2 0.125 7.19589714 8e+06 5604.82403
## 2224 0.05873191 1.09 1.09 0.2 0.125 7.18899411 8e+06 5630.41511
## 2225 0.05687387 1.09 1.09 0.2 0.125 7.05779440 8e+06 5620.83481
## 2226 0.06171694 1.09 1.09 0.2 0.125 7.38469418 8e+06 5588.05305
## 2227 0.06291334 1.09 1.09 0.2 0.125 7.38992662 8e+06 5601.22495
## 2228 0.06388569 1.09 1.09 0.2 0.125 7.09414657 8e+06 5536.71114
## 2229 0.06856923 1.09 1.09 0.2 0.125 6.61295331 8e+06 5500.41807
## 2230 0.06795512 1.09 1.09 0.2 0.125 6.19290831 8e+06 5451.15370
## 2231 0.06883840 1.09 1.09 0.2 0.125 5.35360454 8e+06 5441.48772
## 2232 0.07246596 1.09 1.09 0.2 0.125 5.65836691 8e+06 5467.33141
## 2233 0.07540793 1.09 1.09 0.2 0.125 6.19421685 8e+06 5442.26645
## 2234 0.07775045 1.09 1.09 0.2 0.125 6.43042193 8e+06 5459.14592
## 2235 0.08130540 1.09 1.09 0.2 0.125 6.40324656 8e+06 5438.80345
## 2236 0.08247598 1.09 1.09 0.2 0.125 6.99634504 8e+06 5457.71368
## 2237 0.08247598 1.09 1.09 0.2 0.125 6.99634504 8e+06 5457.71368
## 2238 0.08561004 1.09 1.09 0.2 0.125 6.99028833 8e+06 5484.32291
## 2239 0.08579859 1.09 1.09 0.2 0.125 7.75554008 8e+06 5511.07217
## 2240 0.07909811 1.09 1.09 0.2 0.125 7.52087430 8e+06 5469.43435
## 2241 0.07905377 1.09 1.09 0.2 0.125 8.00439043 8e+06 5472.75194
## 2242 0.08059690 1.09 1.09 0.2 0.125 8.39673834 8e+06 5490.48837
## 2243 0.08753555 1.09 1.09 0.2 0.125 7.45320851 8e+06 5529.36712
## 2244 0.09407590 1.09 1.09 0.2 0.125 7.30382533 8e+06 5629.53229
## 2245 0.09730707 1.09 1.09 0.2 0.125 8.25079303 8e+06 5577.52869
## 2246 0.09721367 1.09 1.09 0.2 0.125 7.57331325 8e+06 5679.28831
## 2247 0.09848530 1.09 1.09 0.2 0.125 7.22131049 8e+06 5802.00586
## 2248 0.09395316 1.09 1.09 0.2 0.125 6.29888532 8e+06 5980.24686
## 2249 0.09518281 1.09 1.09 0.2 0.125 5.46245893 8e+06 6138.76860
## 2250 0.09532748 1.09 1.09 0.2 0.125 4.97815856 8e+06 6249.17543
## 2251 0.09882815 1.09 1.09 0.2 0.125 5.06564628 8e+06 6267.90333
## 2252 0.09983759 1.09 1.09 0.2 0.125 4.79315363 8e+06 6276.00068
## 2253 0.09944958 1.09 1.09 0.2 0.125 4.79596342 8e+06 6317.97431
## 2254 0.10317213 1.09 1.09 0.2 0.125 4.44751070 8e+06 6339.37009
## 2255 0.10648251 1.09 1.09 0.2 0.125 4.94922844 8e+06 6448.02920
## 2256 0.10882614 1.09 1.09 0.2 0.125 4.64927148 8e+06 6545.81827
## 2257 0.11362886 1.09 1.09 0.2 0.125 4.48340161 8e+06 6699.72433
## 2258 0.10933247 1.09 1.09 0.2 0.125 4.39976829 8e+06 6768.82999
## 2259 0.10903035 1.09 1.09 0.2 0.125 4.09899029 8e+06 6835.49777
## 2260 0.11032655 1.09 1.09 0.2 0.125 4.19389902 8e+06 6839.95764
## 2261 0.11218721 1.09 1.09 0.2 0.125 4.20097125 8e+06 6917.74490
## 2262 0.10864433 1.09 1.09 0.2 0.125 4.09913658 8e+06 6886.63555
## 2263 0.11091113 1.09 1.09 0.2 0.125 4.13559571 8e+06 6893.57545
## 2264 0.11038980 1.09 1.09 0.2 0.125 4.42166804 8e+06 6947.89365
## 2265 0.11225212 1.09 1.09 0.2 0.125 4.43728736 8e+06 6929.27919
## 2266 0.11571452 1.09 1.09 0.2 0.125 4.40399642 8e+06 6978.74067
## 2267 0.11541182 1.09 1.09 0.2 0.125 4.54765403 8e+06 7003.22500
## 2268 0.11556786 1.09 1.09 0.2 0.125 4.44671508 8e+06 7030.78344
## 2269 0.11920713 1.09 1.09 0.2 0.125 4.19098693 8e+06 7088.60704
## 2270 0.11834621 1.09 1.09 0.2 0.125 3.93874746 8e+06 7150.42582
## 2271 0.12471662 1.09 1.09 0.2 0.125 4.23564753 8e+06 7161.54342
## 2272 0.12240494 1.09 1.09 0.2 0.125 4.99299130 8e+06 7095.69022
## 2273 0.12339600 1.09 1.09 0.2 0.125 5.37845050 8e+06 7064.24335
## 2274 0.12181948 1.09 1.09 0.2 0.125 5.59088283 8e+06 7069.83351
## 2275 0.12376959 1.09 1.09 0.2 0.125 4.96094440 8e+06 7129.68302
## 2276 0.12026634 1.09 1.09 0.2 0.125 5.02441089 8e+06 7156.29856
## 2277 0.12543363 1.09 1.09 0.2 0.125 5.27423810 8e+06 7150.54587
## 2278 0.11682814 1.09 1.09 0.2 0.125 4.54215556 8e+06 7192.05915
## 2279 0.11530801 1.09 1.09 0.2 0.125 4.48446696 8e+06 7221.79819
## 2280 0.11937887 1.09 1.09 0.2 0.125 4.81947743 8e+06 7251.23272
## 2281 0.12092366 1.09 1.09 0.2 0.125 4.82086939 8e+06 7342.99875
## 2282 0.12195483 1.09 1.09 0.2 0.125 5.33639322 8e+06 7391.63824
## 2283 0.12145119 1.09 1.09 0.2 0.125 6.55979307 8e+06 7419.21761
## 2284 0.12534246 1.09 1.09 0.2 0.125 8.37287899 8e+06 7438.46571
## 2285 0.12818379 1.09 1.09 0.2 0.125 9.98127249 8e+06 7431.78092
## 2286 0.12905588 1.09 1.09 0.2 0.125 13.46974372 8e+06 7399.26183
## 2287 0.13011590 1.09 1.09 0.2 0.125 14.10948739 8e+06 7415.40688
## 2288 0.13011590 1.09 1.09 0.2 0.125 14.10948739 8e+06 7415.40688
## 2289 0.08878817 1.09 1.09 0.2 0.125 0.44282749 8e+06 9835.26717
## 2290 0.08878817 1.09 1.09 0.2 0.125 0.44282749 8e+06 9835.26717
## 2291 0.08100415 1.09 1.09 0.2 0.125 0.67303685 8e+06 9919.79819
## 2292 0.11941220 1.09 1.09 0.2 0.125 0.53787186 8e+06 10060.79289
## 2293 0.10381203 1.09 1.09 0.2 0.125 0.85450860 8e+06 9772.32739
## 2294 0.07895346 1.09 1.09 0.2 0.125 0.91265638 8e+06 9570.34962
## 2295 0.07733167 1.09 1.09 0.2 0.125 0.59360462 8e+06 9704.36420
## 2296 0.06684618 1.09 1.09 0.2 0.125 0.65250868 8e+06 9649.66680
## 2297 0.07012029 1.09 1.09 0.2 0.125 0.76849834 8e+06 9617.98759
## 2298 0.06816289 1.09 1.09 0.2 0.125 0.90341120 8e+06 9549.87755
## 2299 0.06642480 1.09 1.09 0.2 0.125 1.14782332 8e+06 9536.04218
## 2300 0.06878296 1.09 1.09 0.2 0.125 1.25207479 8e+06 9662.37866
## 2301 0.06986517 1.09 1.09 0.2 0.125 1.43933355 8e+06 9652.82188
## 2302 0.06984146 1.09 1.09 0.2 0.125 1.50609436 8e+06 9524.79110
## 2303 0.06928790 1.09 1.09 0.2 0.125 1.53693858 8e+06 9561.52136
## 2304 0.07313342 1.09 1.09 0.2 0.125 1.50407279 8e+06 9597.49619
## 2305 0.06912684 1.09 1.09 0.2 0.125 1.63822642 8e+06 9548.21243
## 2306 0.07608857 1.09 1.09 0.2 0.125 1.75999696 8e+06 9512.52496
## 2307 0.07716506 1.09 1.09 0.2 0.125 1.92278392 8e+06 9476.65085
## 2308 0.08076426 1.09 1.09 0.2 0.125 1.92861462 8e+06 9472.95585
## 2309 0.08380303 1.09 1.09 0.2 0.125 2.32088708 8e+06 9386.31092
## 2310 0.09220600 1.09 1.09 0.2 0.125 2.48362438 8e+06 9358.15721
## 2311 0.09186695 1.09 1.09 0.2 0.125 2.84364205 8e+06 9368.60772
## 2312 0.09300688 1.09 1.09 0.2 0.125 2.98326343 8e+06 9410.09696
## 2313 0.10069099 1.09 1.09 0.2 0.125 3.12203825 8e+06 9462.03349
## 2314 0.10769697 1.09 1.09 0.2 0.125 3.19642305 8e+06 9489.19002
## 2315 0.11611724 1.09 1.09 0.2 0.125 3.81289305 8e+06 9758.74188
## 2316 0.11510973 1.09 1.09 0.2 0.125 3.86257686 8e+06 9803.98507
## 2317 0.11357329 1.09 1.09 0.2 0.125 3.86631862 8e+06 9927.78016
## 2318 0.11545955 1.09 1.09 0.2 0.125 4.22894400 8e+06 9945.82831
## 2319 0.11389733 1.09 1.09 0.2 0.125 4.30628395 8e+06 10057.49360
## 2320 0.11152639 1.09 1.09 0.2 0.125 4.23948121 8e+06 10086.35718
## 2321 0.10775771 1.09 1.09 0.2 0.125 4.47479652 8e+06 10212.04854
## 2322 0.10889092 1.09 1.09 0.2 0.125 4.58870071 8e+06 10238.16359
## 2323 0.10798646 1.09 1.09 0.2 0.125 4.71528642 8e+06 10273.53688
## 2324 0.10951198 1.09 1.09 0.2 0.125 5.18823038 8e+06 10344.17244
## 2325 0.10948740 1.09 1.09 0.2 0.125 5.66129386 8e+06 10517.57677
## 2326 0.10867714 1.09 1.09 0.2 0.125 5.62857715 8e+06 10737.03755
## 2327 0.11024681 1.09 1.09 0.2 0.125 5.84350564 8e+06 10735.18318
## 2328 0.10654444 1.09 1.09 0.2 0.125 5.69968228 8e+06 10600.70674
## 2329 0.10759882 1.09 1.09 0.2 0.125 6.03815604 8e+06 10775.49432
## 2330 0.10783456 1.09 1.09 0.2 0.125 5.81751487 8e+06 10992.95195
## 2331 0.10886933 1.09 1.09 0.2 0.125 5.40768488 8e+06 10822.29648
## 2332 0.11406627 1.09 1.09 0.2 0.125 5.43897964 8e+06 10885.60013
## 2333 0.11292788 1.09 1.09 0.2 0.125 5.83210409 8e+06 10981.31701
## 2334 0.11332308 1.09 1.09 0.2 0.125 5.96459642 8e+06 11062.30096
## 2335 0.10996734 1.09 1.09 0.2 0.125 6.20607820 8e+06 11048.29007
## 2336 0.11122230 1.09 1.09 0.2 0.125 6.23679730 8e+06 11152.94665
## 2337 0.11272776 1.09 1.09 0.2 0.125 6.67443373 8e+06 11171.80927
## 2338 0.11738469 1.09 1.09 0.2 0.125 6.34838294 8e+06 11216.40312
## 2339 0.11442770 1.09 1.09 0.2 0.125 6.14394725 8e+06 11235.26066
## 2340 0.11127979 1.09 1.09 0.2 0.125 6.21473205 8e+06 11365.36104
## 2341 0.11127979 1.09 1.09 0.2 0.125 6.21473205 8e+06 11365.36104
## 2342 0.11684505 1.09 1.09 0.2 0.125 6.18165018 8e+06 11350.89303
## 2343 0.11557721 1.09 1.09 0.2 0.125 6.02123696 8e+06 11381.80155
## 2344 0.11840522 1.09 1.09 0.2 0.125 5.77647801 8e+06 11300.99069
## 2345 0.11399521 1.09 1.09 0.2 0.125 5.81721796 8e+06 11397.63659
## 2346 0.11086436 1.09 1.09 0.2 0.125 5.43628294 8e+06 11516.72567
## 2347 0.11182069 1.09 1.09 0.2 0.125 5.36452942 8e+06 11441.42048
## 2348 0.11098152 1.09 1.09 0.2 0.125 5.83769150 8e+06 11578.97757
## 2349 0.11252907 1.09 1.09 0.2 0.125 7.24927267 8e+06 11674.24152
## 2350 0.11144093 1.09 1.09 0.2 0.125 6.67880627 8e+06 11772.31577
## 2351 0.10294467 1.09 1.09 0.2 0.125 6.63306451 8e+06 11727.29963
## 2352 0.11402045 1.09 1.09 0.2 0.125 6.58233185 8e+06 11963.71258
## 2353 0.11399444 1.09 1.09 0.2 0.125 6.52574322 8e+06 12047.96004
## 2354 0.11304968 1.09 1.09 0.2 0.125 6.75045269 8e+06 12214.07354
## 2355 0.11196975 1.09 1.09 0.2 0.125 5.97414896 8e+06 12415.11975
## 2356 0.11546299 1.09 1.09 0.2 0.125 5.53997549 8e+06 12423.67701
## 2357 0.12165466 1.09 1.09 0.2 0.125 6.03069264 8e+06 12503.06914
## 2358 0.12380173 1.09 1.09 0.2 0.125 6.17033956 8e+06 12537.22560
## 2359 0.12533942 1.09 1.09 0.2 0.125 6.44079335 8e+06 12466.87634
## 2360 0.11935439 1.09 1.09 0.2 0.125 5.68961049 8e+06 12622.22544
## 2361 0.12087077 1.09 1.09 0.2 0.125 5.04731109 8e+06 12678.35527
## 2362 0.12045137 1.09 1.09 0.2 0.125 5.17719876 8e+06 12819.44741
## 2363 0.12523611 1.09 1.09 0.2 0.125 6.31093068 8e+06 12823.38311
## 2364 0.12630547 1.09 1.09 0.2 0.125 6.62827920 8e+06 12789.96150
## 2365 0.12290513 1.09 1.09 0.2 0.125 7.22222105 8e+06 12848.24068
## 2366 0.12106781 1.09 1.09 0.2 0.125 6.28956046 8e+06 12845.24525
## 2367 0.12246962 1.09 1.09 0.2 0.125 5.97027637 8e+06 12911.96905
## 2368 0.12748969 1.09 1.09 0.2 0.125 6.49759720 8e+06 12791.29888
## 2369 0.12689769 1.09 1.09 0.2 0.125 6.35722532 8e+06 12665.19425
## 2370 0.12846803 1.09 1.09 0.2 0.125 7.35727900 8e+06 12801.01006
## 2371 0.12546611 1.09 1.09 0.2 0.125 7.58708365 8e+06 12908.64979
## 2372 0.12671044 1.09 1.09 0.2 0.125 8.88626991 8e+06 13136.85026
## 2373 0.12845019 1.09 1.09 0.2 0.125 10.40252866 8e+06 13200.31344
## 2374 0.13654500 1.09 1.09 0.2 0.125 12.82291756 8e+06 13464.67701
## 2375 0.13188117 1.09 1.09 0.2 0.125 14.23944010 8e+06 13556.97669
## 2376 0.13113326 1.09 1.09 0.2 0.125 13.46682258 8e+06 13594.96398
## 2377 0.12735430 1.09 1.09 0.2 0.125 13.21895720 8e+06 13625.27287
## 2378 0.12445344 1.09 1.09 0.2 0.125 12.29852165 8e+06 13575.74947
## 2379 0.12182220 1.09 1.09 0.2 0.125 13.97017746 8e+06 13692.32293
## 2380 0.12403830 1.09 1.09 0.2 0.125 16.92198118 8e+06 13630.71172
## 2381 0.12888152 1.09 1.09 0.2 0.125 17.51276483 8e+06 13622.78200
## 2382 0.12750604 1.09 1.09 0.2 0.125 19.54879579 8e+06 13795.81007
## 2383 0.12944514 1.09 1.09 0.2 0.125 20.66165433 8e+06 13759.57093
## 2384 0.13342864 1.09 1.09 0.2 0.125 27.82165252 8e+06 13810.78268
## 2385 0.13143842 1.09 1.09 0.2 0.125 29.06960694 8e+06 13766.15965
## 2386 0.12887229 1.09 1.09 0.2 0.125 27.32091127 8e+06 13767.50594
## 2387 0.13288289 1.09 1.09 0.2 0.125 28.48280750 8e+06 13792.03267
## 2388 0.13231104 1.09 1.09 0.2 0.125 28.48207555 8e+06 13796.41751
## 2389 0.13491388 1.09 1.09 0.2 0.125 31.61632498 8e+06 13716.90645
## 2390 0.13534299 1.09 1.09 0.2 0.125 32.49096919 8e+06 13779.31136
## 2391 0.13694547 1.09 1.09 0.2 0.125 34.73367025 8e+06 13746.55856
## 2392 0.13694547 1.09 1.09 0.2 0.125 34.73367025 8e+06 13746.55856
## 2393 0.10579204 1.09 1.09 0.2 0.125 0.78582573 8e+06 11859.88895
## 2394 0.10579204 1.09 1.09 0.2 0.125 0.78582573 8e+06 11859.88895
## 2395 0.08398163 1.09 1.09 0.2 0.125 0.86116130 8e+06 12270.53436
## 2396 0.09363459 1.09 1.09 0.2 0.125 0.89937917 8e+06 12384.98678
## 2397 0.09226930 1.09 1.09 0.2 0.125 1.07917220 8e+06 12202.57719
## 2398 0.08828796 1.09 1.09 0.2 0.125 1.02011616 8e+06 12139.91469
## 2399 0.10222070 1.09 1.09 0.2 0.125 1.10183727 8e+06 12371.32845
## 2400 0.09634097 1.09 1.09 0.2 0.125 1.03783839 8e+06 12168.27484
## 2401 0.09915363 1.09 1.09 0.2 0.125 1.11165159 8e+06 12277.62244
## 2402 0.11761394 1.09 1.09 0.2 0.125 1.42087174 8e+06 12539.72116
## 2403 0.12745085 1.09 1.09 0.2 0.125 0.95678610 8e+06 12928.89099
## 2404 0.14382410 1.09 1.09 0.2 0.125 1.52928682 8e+06 13179.99543
## 2405 0.16619162 1.09 1.09 0.2 0.125 1.80814308 8e+06 13141.05221
## 2406 0.15411397 1.09 1.09 0.2 0.125 1.84858343 8e+06 13383.85547
## 2407 0.14473776 1.09 1.09 0.2 0.125 1.07436637 8e+06 12958.03981
## 2408 0.15529645 1.09 1.09 0.2 0.125 1.46705143 8e+06 13216.41160
## 2409 0.15729470 1.09 1.09 0.2 0.125 1.31693487 8e+06 13338.49923
## 2410 0.16028893 1.09 1.09 0.2 0.125 1.11686732 8e+06 13069.52365
## 2411 0.14760497 1.09 1.09 0.2 0.125 0.93584193 8e+06 13773.51553
## 2412 0.14302433 1.09 1.09 0.2 0.125 0.91625843 8e+06 14144.49088
## 2413 0.13901714 1.09 1.09 0.2 0.125 1.03224628 8e+06 14013.20342
## 2414 0.14944389 1.09 1.09 0.2 0.125 0.83354387 8e+06 13829.50651
## 2415 0.17204816 1.09 1.09 0.2 0.125 0.89268890 8e+06 13819.14708
## 2416 0.15475587 1.09 1.09 0.2 0.125 0.99394644 8e+06 14190.72969
## 2417 0.15036683 1.09 1.09 0.2 0.125 0.98921340 8e+06 14549.92008
## 2418 0.14897478 1.09 1.09 0.2 0.125 1.02929108 8e+06 14580.73798
## 2419 0.12315153 1.09 1.09 0.2 0.125 1.08214765 8e+06 14786.15553
## 2420 0.12915568 1.09 1.09 0.2 0.125 1.10653660 8e+06 14966.93520
## 2421 0.14352831 1.09 1.09 0.2 0.125 1.20817338 8e+06 15004.74916
## 2422 0.12439045 1.09 1.09 0.2 0.125 1.07338366 8e+06 14479.70529
## 2423 0.11757139 1.09 1.09 0.2 0.125 1.40687452 8e+06 14648.96566
## 2424 0.13458131 1.09 1.09 0.2 0.125 1.58183808 8e+06 14427.15175
## 2425 0.12177600 1.09 1.09 0.2 0.125 1.56502061 8e+06 14745.46117
## 2426 0.11879043 1.09 1.09 0.2 0.125 1.80393945 8e+06 15375.32546
## 2427 0.12662670 1.09 1.09 0.2 0.125 1.96815231 8e+06 15260.09408
## 2428 0.12646821 1.09 1.09 0.2 0.125 2.34108974 8e+06 15215.24761
## 2429 0.14112479 1.09 1.09 0.2 0.125 2.72613716 8e+06 15594.05846
## 2430 0.13838542 1.09 1.09 0.2 0.125 2.74984611 8e+06 15858.26973
## 2431 0.12777790 1.09 1.09 0.2 0.125 3.18705068 8e+06 15440.21374
## 2432 0.11836310 1.09 1.09 0.2 0.125 3.37840424 8e+06 15455.76135
## 2433 0.11244162 1.09 1.09 0.2 0.125 3.80667717 8e+06 15380.91803
## 2434 0.13678829 1.09 1.09 0.2 0.125 3.07104621 8e+06 15467.62511
## 2435 0.12866154 1.09 1.09 0.2 0.125 3.18134853 8e+06 15616.31966
## 2436 0.12726754 1.09 1.09 0.2 0.125 3.50426556 8e+06 14935.64974
## 2437 0.13248188 1.09 1.09 0.2 0.125 4.01471773 8e+06 15009.81622
## 2438 0.13425753 1.09 1.09 0.2 0.125 3.78618010 8e+06 14993.29589
## 2439 0.12798984 1.09 1.09 0.2 0.125 3.66666990 8e+06 14874.60796
## 2440 0.13313842 1.09 1.09 0.2 0.125 3.54790820 8e+06 14930.92097
## 2441 0.13600771 1.09 1.09 0.2 0.125 3.38691224 8e+06 14754.83774
## 2442 0.13285858 1.09 1.09 0.2 0.125 3.16299366 8e+06 14611.26413
## 2443 0.12349297 1.09 1.09 0.2 0.125 2.75591471 8e+06 14650.67027
## 2444 0.11903289 1.09 1.09 0.2 0.125 3.06040627 8e+06 14731.20940
## 2445 0.11903289 1.09 1.09 0.2 0.125 3.06040627 8e+06 14731.20940
## 2446 0.11317683 1.09 1.09 0.2 0.125 3.63072515 8e+06 14526.82098
## 2447 0.11620354 1.09 1.09 0.2 0.125 2.82747266 8e+06 14209.23218
## 2448 0.12919432 1.09 1.09 0.2 0.125 3.03279811 8e+06 14042.85867
## 2449 0.13112229 1.09 1.09 0.2 0.125 3.38211310 8e+06 14144.02532
## 2450 0.12634108 1.09 1.09 0.2 0.125 3.11469197 8e+06 14264.15455
## 2451 0.13565568 1.09 1.09 0.2 0.125 3.88041852 8e+06 14318.92042
## 2452 0.12624278 1.09 1.09 0.2 0.125 3.68122492 8e+06 14309.82167
## 2453 0.12157097 1.09 1.09 0.2 0.125 4.74566509 8e+06 14598.87791
## 2454 0.13626639 1.09 1.09 0.2 0.125 4.35548193 8e+06 14851.02502
## 2455 0.13495671 1.09 1.09 0.2 0.125 4.07812360 8e+06 15006.36540
## 2456 0.13012137 1.09 1.09 0.2 0.125 4.65116659 8e+06 15178.00263
## 2457 0.13367671 1.09 1.09 0.2 0.125 5.93267735 8e+06 15018.52705
## 2458 0.13994814 1.09 1.09 0.2 0.125 5.62812288 8e+06 15181.76355
## 2459 0.13176470 1.09 1.09 0.2 0.125 4.89541022 8e+06 14720.80430
## 2460 0.12867370 1.09 1.09 0.2 0.125 4.72973646 8e+06 14848.30928
## 2461 0.14639580 1.09 1.09 0.2 0.125 4.33958516 8e+06 14814.97368
## 2462 0.13719528 1.09 1.09 0.2 0.125 3.68757441 8e+06 14896.17398
## 2463 0.16417858 1.09 1.09 0.2 0.125 5.09330947 8e+06 14853.29708
## 2464 0.16260692 1.09 1.09 0.2 0.125 4.51371147 8e+06 14723.98237
## 2465 0.18809182 1.09 1.09 0.2 0.125 4.92854853 8e+06 14730.17977
## 2466 0.17194034 1.09 1.09 0.2 0.125 4.99539554 8e+06 14975.07572
## 2467 0.16860267 1.09 1.09 0.2 0.125 5.77850035 8e+06 14863.72952
## 2468 0.26430666 1.09 1.09 0.2 0.125 3.67770871 8e+06 15268.73974
## 2469 0.22583496 1.09 1.09 0.2 0.125 4.13777278 8e+06 15296.49417
## 2470 0.21256072 1.09 1.09 0.2 0.125 4.76592397 8e+06 15349.17122
## 2471 0.22561841 1.09 1.09 0.2 0.125 4.74395601 8e+06 15136.86992
## 2472 0.27187847 1.09 1.09 0.2 0.125 3.84704601 8e+06 15557.59410
## 2473 0.29829651 1.09 1.09 0.2 0.125 4.30870106 8e+06 15504.07795
## 2474 0.31278952 1.09 1.09 0.2 0.125 4.74736304 8e+06 15635.22181
## 2475 0.30065655 1.09 1.09 0.2 0.125 4.66172023 8e+06 15844.81254
## 2476 0.31217677 1.09 1.09 0.2 0.125 4.60571445 8e+06 15734.83385
## 2477 0.32669438 1.09 1.09 0.2 0.125 4.22668121 8e+06 15812.24923
## 2478 0.36108638 1.09 1.09 0.2 0.125 3.86048815 8e+06 15666.94940
## 2479 0.39849126 1.09 1.09 0.2 0.125 3.71038468 8e+06 15557.59547
## 2480 0.42559831 1.09 1.09 0.2 0.125 3.62493121 8e+06 15420.01013
## 2481 0.45319676 1.09 1.09 0.2 0.125 3.63317959 8e+06 15388.20935
## 2482 0.47545875 1.09 1.09 0.2 0.125 3.73231027 8e+06 15397.52889
## 2483 0.49019324 1.09 1.09 0.2 0.125 3.64231764 8e+06 15428.25806
## 2484 0.51443320 1.09 1.09 0.2 0.125 3.42145773 8e+06 15434.40857
## 2485 0.52341637 1.09 1.09 0.2 0.125 3.07319487 8e+06 15408.83809
## 2486 0.51445507 1.09 1.09 0.2 0.125 3.11843765 8e+06 15303.79459
## 2487 0.54104107 1.09 1.09 0.2 0.125 3.04274504 8e+06 15409.10562
## 2488 0.54058253 1.09 1.09 0.2 0.125 2.93220626 8e+06 15435.28580
## 2489 0.54477278 1.09 1.09 0.2 0.125 3.10703135 8e+06 15375.08788
## 2490 0.55358785 1.09 1.09 0.2 0.125 3.22539265 8e+06 15294.36059
## 2491 0.55268594 1.09 1.09 0.2 0.125 3.30686375 8e+06 15312.16455
## 2492 0.56244965 1.09 1.09 0.2 0.125 3.38262578 8e+06 15404.26929
## 2493 0.54978709 1.09 1.09 0.2 0.125 3.50542745 8e+06 15262.35357
## 2494 0.55514440 1.09 1.09 0.2 0.125 3.14525557 8e+06 15313.73176
## 2495 0.55549256 1.09 1.09 0.2 0.125 3.02198718 8e+06 15415.16031
## 2496 0.55549256 1.09 1.09 0.2 0.125 3.02198718 8e+06 15415.16031
## 2497 0.34212082 1.09 1.09 0.2 0.125 0.75637452 8e+06 6562.27338
## 2498 0.34212082 1.09 1.09 0.2 0.125 0.75637452 8e+06 6562.27338
## 2499 0.32413842 1.09 1.09 0.2 0.125 0.85989543 8e+06 6602.58442
## 2500 0.26482148 1.09 1.09 0.2 0.125 0.94396309 8e+06 6655.29832
## 2501 0.19005628 1.09 1.09 0.2 0.125 0.85631363 8e+06 6500.13089
## 2502 0.13914566 1.09 1.09 0.2 0.125 1.01651793 8e+06 6511.51267
## 2503 0.11501608 1.09 1.09 0.2 0.125 1.18012916 8e+06 6441.97888
## 2504 0.10623868 1.09 1.09 0.2 0.125 1.17832849 8e+06 6464.98977
## 2505 0.11152886 1.09 1.09 0.2 0.125 1.21773448 8e+06 6501.58580
## 2506 0.11809363 1.09 1.09 0.2 0.125 1.24127116 8e+06 6539.54311
## 2507 0.11636758 1.09 1.09 0.2 0.125 1.13344351 8e+06 6604.46897
## 2508 0.11880289 1.09 1.09 0.2 0.125 1.08943919 8e+06 6655.32618
## 2509 0.11058618 1.09 1.09 0.2 0.125 1.30351723 8e+06 6650.11950
## 2510 0.11811357 1.09 1.09 0.2 0.125 1.36772168 8e+06 6577.71054
## 2511 0.11234789 1.09 1.09 0.2 0.125 1.41415783 8e+06 6518.11560
## 2512 0.11332918 1.09 1.09 0.2 0.125 1.53316683 8e+06 6535.02142
## 2513 0.11805484 1.09 1.09 0.2 0.125 1.52221422 8e+06 6527.84924
## 2514 0.11189486 1.09 1.09 0.2 0.125 1.61166357 8e+06 6655.77256
## 2515 0.10498327 1.09 1.09 0.2 0.125 1.98395603 8e+06 6695.19201
## 2516 0.11040239 1.09 1.09 0.2 0.125 2.26721133 8e+06 6675.23829
## 2517 0.11422523 1.09 1.09 0.2 0.125 2.71277466 8e+06 6688.76443
## 2518 0.11681215 1.09 1.09 0.2 0.125 2.60779207 8e+06 6541.37471
## 2519 0.11985889 1.09 1.09 0.2 0.125 2.83165310 8e+06 6507.69313
## 2520 0.11754264 1.09 1.09 0.2 0.125 2.84544970 8e+06 6573.99989
## 2521 0.11890099 1.09 1.09 0.2 0.125 3.12459671 8e+06 6582.62050
## 2522 0.12406715 1.09 1.09 0.2 0.125 3.37497495 8e+06 6632.71709
## 2523 0.12025282 1.09 1.09 0.2 0.125 3.46638397 8e+06 6642.22170
## 2524 0.12484963 1.09 1.09 0.2 0.125 3.41886461 8e+06 6675.76904
## 2525 0.12653934 1.09 1.09 0.2 0.125 3.42634703 8e+06 6702.59813
## 2526 0.12321017 1.09 1.09 0.2 0.125 3.40256381 8e+06 6698.76267
## 2527 0.12094937 1.09 1.09 0.2 0.125 3.26742974 8e+06 6676.06084
## 2528 0.12222969 1.09 1.09 0.2 0.125 3.75429777 8e+06 6759.79859
## 2529 0.11756793 1.09 1.09 0.2 0.125 4.02068283 8e+06 6783.64938
## 2530 0.12690608 1.09 1.09 0.2 0.125 4.33197749 8e+06 6818.67859
## 2531 0.11941724 1.09 1.09 0.2 0.125 4.41331571 8e+06 6937.97890
## 2532 0.11416768 1.09 1.09 0.2 0.125 4.63475107 8e+06 7050.37291
## 2533 0.11119397 1.09 1.09 0.2 0.125 4.78353712 8e+06 7059.18913
## 2534 0.11431163 1.09 1.09 0.2 0.125 4.85472739 8e+06 7033.63511
## 2535 0.11332963 1.09 1.09 0.2 0.125 4.47469999 8e+06 7094.37026
## 2536 0.11123056 1.09 1.09 0.2 0.125 4.34026456 8e+06 7117.27816
## 2537 0.11475079 1.09 1.09 0.2 0.125 4.08181057 8e+06 7180.56316
## 2538 0.11121864 1.09 1.09 0.2 0.125 4.07695739 8e+06 7191.93335
## 2539 0.12132174 1.09 1.09 0.2 0.125 4.01024365 8e+06 7158.93158
## 2540 0.12118504 1.09 1.09 0.2 0.125 3.87227010 8e+06 7282.06584
## 2541 0.12119061 1.09 1.09 0.2 0.125 3.73816890 8e+06 7274.02966
## 2542 0.12148617 1.09 1.09 0.2 0.125 3.71060237 8e+06 7316.68025
## 2543 0.12179056 1.09 1.09 0.2 0.125 3.59474067 8e+06 7399.28462
## 2544 0.12059951 1.09 1.09 0.2 0.125 3.95376782 8e+06 7385.19222
## 2545 0.11952039 1.09 1.09 0.2 0.125 3.76340622 8e+06 7384.50116
## 2546 0.11758908 1.09 1.09 0.2 0.125 3.79982896 8e+06 7431.64874
## 2547 0.11977538 1.09 1.09 0.2 0.125 3.99288057 8e+06 7404.28483
## 2548 0.11798838 1.09 1.09 0.2 0.125 4.15584103 8e+06 7385.66652
## 2549 0.11798838 1.09 1.09 0.2 0.125 4.15584103 8e+06 7385.66652
## 2550 0.12231482 1.09 1.09 0.2 0.125 4.12265881 8e+06 7375.06182
## 2551 0.12467288 1.09 1.09 0.2 0.125 4.15097990 8e+06 7466.64353
## 2552 0.11954684 1.09 1.09 0.2 0.125 3.59678423 8e+06 7533.17392
## 2553 0.11661262 1.09 1.09 0.2 0.125 3.60012614 8e+06 7635.37748
## 2554 0.11310664 1.09 1.09 0.2 0.125 3.67353222 8e+06 7625.90424
## 2555 0.11629741 1.09 1.09 0.2 0.125 3.94696294 8e+06 7618.61597
## 2556 0.12415838 1.09 1.09 0.2 0.125 5.15980659 8e+06 7671.61056
## 2557 0.12019628 1.09 1.09 0.2 0.125 5.46370535 8e+06 7792.55510
## 2558 0.11690501 1.09 1.09 0.2 0.125 5.76755704 8e+06 7777.26153
## 2559 0.11748607 1.09 1.09 0.2 0.125 5.73663970 8e+06 7883.79600
## 2560 0.12182562 1.09 1.09 0.2 0.125 5.00337840 8e+06 8071.11977
## 2561 0.12307055 1.09 1.09 0.2 0.125 4.87322809 8e+06 8232.12498
## 2562 0.12170894 1.09 1.09 0.2 0.125 5.27686484 8e+06 8271.50561
## 2563 0.11890339 1.09 1.09 0.2 0.125 5.56549156 8e+06 8316.08521
## 2564 0.12056720 1.09 1.09 0.2 0.125 5.38320166 8e+06 8387.92510
## 2565 0.12418038 1.09 1.09 0.2 0.125 5.56642164 8e+06 8309.79516
## 2566 0.12315529 1.09 1.09 0.2 0.125 5.68558413 8e+06 8301.12556
## 2567 0.11985267 1.09 1.09 0.2 0.125 5.84183113 8e+06 8308.42766
## 2568 0.11735362 1.09 1.09 0.2 0.125 5.71271732 8e+06 8282.08916
## 2569 0.11597704 1.09 1.09 0.2 0.125 5.85823855 8e+06 8309.34571
## 2570 0.11316897 1.09 1.09 0.2 0.125 5.48938578 8e+06 8283.72737
## 2571 0.11969735 1.09 1.09 0.2 0.125 5.62861223 8e+06 8290.53173
## 2572 0.12659119 1.09 1.09 0.2 0.125 6.21976728 8e+06 8204.61296
## 2573 0.13285691 1.09 1.09 0.2 0.125 6.64105618 8e+06 8106.66194
## 2574 0.12953473 1.09 1.09 0.2 0.125 6.53115266 8e+06 8120.61383
## 2575 0.12899769 1.09 1.09 0.2 0.125 6.10545230 8e+06 8157.23635
## 2576 0.13604006 1.09 1.09 0.2 0.125 6.19420117 8e+06 8168.96816
## 2577 0.13082886 1.09 1.09 0.2 0.125 7.03301402 8e+06 8257.61681
## 2578 0.12849828 1.09 1.09 0.2 0.125 9.38172031 8e+06 8269.37510
## 2579 0.13323097 1.09 1.09 0.2 0.125 11.56163944 8e+06 8251.05343
## 2580 0.12706617 1.09 1.09 0.2 0.125 9.86771555 8e+06 8464.59638
## 2581 0.12316959 1.09 1.09 0.2 0.125 11.26823256 8e+06 8590.08596
## 2582 0.12382695 1.09 1.09 0.2 0.125 10.38183152 8e+06 8627.66664
## 2583 0.12638357 1.09 1.09 0.2 0.125 10.66396319 8e+06 8593.33722
## 2584 0.13142211 1.09 1.09 0.2 0.125 13.22939319 8e+06 8537.35167
## 2585 0.13127983 1.09 1.09 0.2 0.125 13.96822685 8e+06 8556.21481
## 2586 0.12856580 1.09 1.09 0.2 0.125 12.84052544 8e+06 8586.57297
## 2587 0.12826420 1.09 1.09 0.2 0.125 10.85558117 8e+06 8579.08848
## 2588 0.12611036 1.09 1.09 0.2 0.125 11.56007927 8e+06 8623.08007
## 2589 0.12368654 1.09 1.09 0.2 0.125 13.72843207 8e+06 8657.92970
## 2590 0.12225695 1.09 1.09 0.2 0.125 12.85891900 8e+06 8735.61388
## 2591 0.12563519 1.09 1.09 0.2 0.125 13.46531707 8e+06 8787.16463
## 2592 0.12100530 1.09 1.09 0.2 0.125 13.35550226 8e+06 8803.99794
## 2593 0.12325257 1.09 1.09 0.2 0.125 13.89626101 8e+06 8817.84639
## 2594 0.12096399 1.09 1.09 0.2 0.125 12.29097559 8e+06 8792.59046
## 2595 0.11896767 1.09 1.09 0.2 0.125 12.19430106 8e+06 8846.75043
## 2596 0.11725866 1.09 1.09 0.2 0.125 11.49622365 8e+06 8911.86841
## 2597 0.11856415 1.09 1.09 0.2 0.125 9.15256150 8e+06 8963.07765
## 2598 0.11794354 1.09 1.09 0.2 0.125 8.56179928 8e+06 8985.59734
## 2599 0.11634164 1.09 1.09 0.2 0.125 8.43852088 8e+06 8993.39844
## 2600 0.11634164 1.09 1.09 0.2 0.125 8.43852088 8e+06 8993.39844
## 2601 0.12832135 1.09 1.09 0.2 0.125 0.96314741 8e+06 4209.56468
## 2602 0.12832135 1.09 1.09 0.2 0.125 0.96314741 8e+06 4209.56468
## 2603 0.13250726 1.09 1.09 0.2 0.125 0.92807758 8e+06 4181.89724
## 2604 0.10921706 1.09 1.09 0.2 0.125 1.04018983 8e+06 4242.99173
## 2605 0.11063606 1.09 1.09 0.2 0.125 1.04338116 8e+06 4248.53780
## 2606 0.11255104 1.09 1.09 0.2 0.125 1.02514761 8e+06 4217.21679
## 2607 0.12322687 1.09 1.09 0.2 0.125 1.03047184 8e+06 4182.87824
## 2608 0.11788409 1.09 1.09 0.2 0.125 1.04760036 8e+06 4170.55347
## 2609 0.12924337 1.09 1.09 0.2 0.125 0.91346791 8e+06 4223.25471
## 2610 0.12394106 1.09 1.09 0.2 0.125 1.01468583 8e+06 4278.63665
## 2611 0.11865143 1.09 1.09 0.2 0.125 1.19693468 8e+06 4263.73640
## 2612 0.11083167 1.09 1.09 0.2 0.125 1.52766435 8e+06 4274.92713
## 2613 0.11042398 1.09 1.09 0.2 0.125 1.46170617 8e+06 4184.93490
## 2614 0.10940971 1.09 1.09 0.2 0.125 1.64191414 8e+06 4171.97757
## 2615 0.10986928 1.09 1.09 0.2 0.125 1.67094553 8e+06 4221.59152
## 2616 0.11202090 1.09 1.09 0.2 0.125 1.73161691 8e+06 4259.40231
## 2617 0.11058127 1.09 1.09 0.2 0.125 1.98634408 8e+06 4273.49264
## 2618 0.11338419 1.09 1.09 0.2 0.125 2.26112835 8e+06 4394.23112
## 2619 0.11476320 1.09 1.09 0.2 0.125 2.74122610 8e+06 4633.16672
## 2620 0.11880347 1.09 1.09 0.2 0.125 2.94658808 8e+06 4735.21189
## 2621 0.11671665 1.09 1.09 0.2 0.125 2.79189259 8e+06 4763.80686
## 2622 0.11569867 1.09 1.09 0.2 0.125 3.15835541 8e+06 4888.16862
## 2623 0.11996640 1.09 1.09 0.2 0.125 3.49324434 8e+06 4995.20542
## 2624 0.11680176 1.09 1.09 0.2 0.125 3.53473848 8e+06 4953.75967
## 2625 0.11816658 1.09 1.09 0.2 0.125 3.56538745 8e+06 5043.33119
## 2626 0.12063233 1.09 1.09 0.2 0.125 3.49284593 8e+06 5034.76996
## 2627 0.12065820 1.09 1.09 0.2 0.125 3.11793170 8e+06 5037.95982
## 2628 0.13057907 1.09 1.09 0.2 0.125 3.45967317 8e+06 5328.39946
## 2629 0.12900552 1.09 1.09 0.2 0.125 3.81094252 8e+06 5376.84429
## 2630 0.12077151 1.09 1.09 0.2 0.125 4.15292093 8e+06 5399.35731
## 2631 0.11334391 1.09 1.09 0.2 0.125 4.51316116 8e+06 5458.64491
## 2632 0.11476662 1.09 1.09 0.2 0.125 4.65090704 8e+06 5518.70571
## 2633 0.11339536 1.09 1.09 0.2 0.125 4.42136460 8e+06 5572.66518
## 2634 0.11813109 1.09 1.09 0.2 0.125 3.73195993 8e+06 5730.86404
## 2635 0.11561973 1.09 1.09 0.2 0.125 4.16340093 8e+06 5707.44292
## 2636 0.11331465 1.09 1.09 0.2 0.125 4.15023489 8e+06 5659.33005
## 2637 0.11051466 1.09 1.09 0.2 0.125 3.94040452 8e+06 5650.55007
## 2638 0.11318125 1.09 1.09 0.2 0.125 3.89299020 8e+06 5725.67265
## 2639 0.11795721 1.09 1.09 0.2 0.125 3.53745257 8e+06 5727.42647
## 2640 0.11604861 1.09 1.09 0.2 0.125 3.80970977 8e+06 5733.68216
## 2641 0.11641500 1.09 1.09 0.2 0.125 3.69215083 8e+06 5780.18146
## 2642 0.11311044 1.09 1.09 0.2 0.125 3.70292371 8e+06 5738.48032
## 2643 0.11409273 1.09 1.09 0.2 0.125 3.78110061 8e+06 5757.69261
## 2644 0.11239678 1.09 1.09 0.2 0.125 3.92151687 8e+06 5714.31416
## 2645 0.11771009 1.09 1.09 0.2 0.125 3.85107256 8e+06 5741.21795
## 2646 0.11521954 1.09 1.09 0.2 0.125 3.61640025 8e+06 5708.43566
## 2647 0.11270375 1.09 1.09 0.2 0.125 3.63208986 8e+06 5715.39519
## 2648 0.11347775 1.09 1.09 0.2 0.125 3.52216601 8e+06 5695.58728
## 2649 0.12093556 1.09 1.09 0.2 0.125 3.46729725 8e+06 5692.97784
## 2650 0.11968925 1.09 1.09 0.2 0.125 3.72141927 8e+06 5718.97518
## 2651 0.12293909 1.09 1.09 0.2 0.125 3.73696793 8e+06 5752.82453
## 2652 0.11933645 1.09 1.09 0.2 0.125 3.83785939 8e+06 5832.29445
## 2653 0.11933645 1.09 1.09 0.2 0.125 3.83785939 8e+06 5832.29445
## 2654 0.12254504 1.09 1.09 0.2 0.125 3.70517623 8e+06 5833.92480
## 2655 0.12128997 1.09 1.09 0.2 0.125 3.85469880 8e+06 5840.76654
## 2656 0.12662109 1.09 1.09 0.2 0.125 3.56000650 8e+06 5839.24007
## 2657 0.12670544 1.09 1.09 0.2 0.125 3.42514566 8e+06 5901.01983
## 2658 0.12192611 1.09 1.09 0.2 0.125 3.20745657 8e+06 5849.65152
## 2659 0.12291685 1.09 1.09 0.2 0.125 3.04892611 8e+06 5761.83018
## 2660 0.12193003 1.09 1.09 0.2 0.125 3.01578013 8e+06 5779.18672
## 2661 0.13034717 1.09 1.09 0.2 0.125 3.38356405 8e+06 5951.00192
## 2662 0.13230321 1.09 1.09 0.2 0.125 3.59650858 8e+06 6005.72870
## 2663 0.12392257 1.09 1.09 0.2 0.125 4.04601505 8e+06 5934.97960
## 2664 0.12808254 1.09 1.09 0.2 0.125 3.69326730 8e+06 5959.99640
## 2665 0.12790261 1.09 1.09 0.2 0.125 4.09000454 8e+06 5971.55360
## 2666 0.13578884 1.09 1.09 0.2 0.125 3.71749652 8e+06 5969.43670
## 2667 0.13150462 1.09 1.09 0.2 0.125 4.34585525 8e+06 6001.25576
## 2668 0.12867558 1.09 1.09 0.2 0.125 4.45448111 8e+06 6052.89096
## 2669 0.12942018 1.09 1.09 0.2 0.125 4.11381286 8e+06 6075.26948
## 2670 0.13047637 1.09 1.09 0.2 0.125 5.67504295 8e+06 6152.75485
## 2671 0.12108947 1.09 1.09 0.2 0.125 4.50352188 8e+06 6103.65761
## 2672 0.12572160 1.09 1.09 0.2 0.125 5.44459639 8e+06 6130.03173
## 2673 0.12254006 1.09 1.09 0.2 0.125 5.05584604 8e+06 6111.36642
## 2674 0.11970512 1.09 1.09 0.2 0.125 5.41208160 8e+06 6153.83000
## 2675 0.11802063 1.09 1.09 0.2 0.125 5.86507636 8e+06 6181.66532
## 2676 0.11985025 1.09 1.09 0.2 0.125 6.73822502 8e+06 6183.75675
## 2677 0.11982288 1.09 1.09 0.2 0.125 7.41623941 8e+06 6275.96721
## 2678 0.12146528 1.09 1.09 0.2 0.125 8.42962424 8e+06 6300.27390
## 2679 0.12147002 1.09 1.09 0.2 0.125 8.41876161 8e+06 6284.70332
## 2680 0.12264707 1.09 1.09 0.2 0.125 7.91302532 8e+06 6216.01869
## 2681 0.12133574 1.09 1.09 0.2 0.125 6.95852975 8e+06 6304.83067
## 2682 0.12020343 1.09 1.09 0.2 0.125 6.83079190 8e+06 6425.80562
## 2683 0.12104841 1.09 1.09 0.2 0.125 6.70460632 8e+06 6549.51432
## 2684 0.11271304 1.09 1.09 0.2 0.125 6.79537278 8e+06 6842.15027
## 2685 0.11117007 1.09 1.09 0.2 0.125 6.05074306 8e+06 6949.17165
## 2686 0.11380513 1.09 1.09 0.2 0.125 5.27190030 8e+06 7156.36495
## 2687 0.11635255 1.09 1.09 0.2 0.125 4.66439499 8e+06 7257.27787
## 2688 0.11544200 1.09 1.09 0.2 0.125 4.85222140 8e+06 7261.93069
## 2689 0.11554454 1.09 1.09 0.2 0.125 4.93781519 8e+06 7244.34208
## 2690 0.11667683 1.09 1.09 0.2 0.125 4.68210884 8e+06 7322.57255
## 2691 0.11486791 1.09 1.09 0.2 0.125 4.36497397 8e+06 7451.79977
## 2692 0.11711931 1.09 1.09 0.2 0.125 4.37682541 8e+06 7522.90138
## 2693 0.12200929 1.09 1.09 0.2 0.125 4.55832329 8e+06 7510.94097
## 2694 0.11878525 1.09 1.09 0.2 0.125 4.57399841 8e+06 7643.82378
## 2695 0.12207412 1.09 1.09 0.2 0.125 4.60915215 8e+06 7714.26571
## 2696 0.12032498 1.09 1.09 0.2 0.125 4.80285980 8e+06 7758.69168
## 2697 0.11616784 1.09 1.09 0.2 0.125 4.99151049 8e+06 7818.82941
## 2698 0.12655847 1.09 1.09 0.2 0.125 5.35683390 8e+06 7888.73107
## 2699 0.12993319 1.09 1.09 0.2 0.125 5.21380704 8e+06 7871.39738
## 2700 0.12868014 1.09 1.09 0.2 0.125 5.16834834 8e+06 7930.62609
## 2701 0.13040208 1.09 1.09 0.2 0.125 5.11627891 8e+06 7987.87671
## 2702 0.12951805 1.09 1.09 0.2 0.125 5.35537485 8e+06 8018.84226
## z_0 C_0 social_distancing_start_time quarantine_start_time
## 1 4768.71647 0 17 22
## 2 4768.71647 0 17 22
## 3 4726.68844 0 17 22
## 4 4791.42357 0 17 22
## 5 4807.12071 0 17 22
## 6 4803.24614 0 17 22
## 7 4698.44625 0 17 22
## 8 4693.01163 0 17 22
## 9 4649.50114 0 17 22
## 10 4623.20314 0 17 22
## 11 4539.82882 0 17 22
## 12 4532.84091 0 17 22
## 13 4560.22492 0 17 22
## 14 4533.77823 0 17 22
## 15 4508.84555 0 17 22
## 16 4550.84284 0 17 22
## 17 4552.16560 0 17 22
## 18 4511.36505 0 17 22
## 19 4464.86979 0 17 22
## 20 4420.75582 0 17 22
## 21 4332.43017 0 17 22
## 22 4353.26374 0 17 22
## 23 4294.05937 0 17 22
## 24 4228.79273 0 17 22
## 25 4215.83482 0 17 22
## 26 4232.95276 0 17 22
## 27 4271.36635 0 17 22
## 28 4244.22103 0 17 22
## 29 4230.52263 0 17 22
## 30 4290.16337 0 17 22
## 31 4276.38249 0 17 22
## 32 4214.00884 0 17 22
## 33 4212.54948 0 17 22
## 34 4144.63098 0 17 22
## 35 4125.24484 0 17 22
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## 2598 7961.90242 0 17 22
## 2599 7983.89985 0 17 22
## 2600 7983.89985 0 17 22
## 2601 9584.14735 0 17 22
## 2602 9584.14735 0 17 22
## 2603 9514.25649 0 17 22
## 2604 9581.57642 0 17 22
## 2605 9613.36933 0 17 22
## 2606 9515.84438 0 17 22
## 2607 9397.72817 0 17 22
## 2608 9424.62023 0 17 22
## 2609 9118.47012 0 17 22
## 2610 9027.82602 0 17 22
## 2611 8977.06752 0 17 22
## 2612 8901.53558 0 17 22
## 2613 8842.79247 0 17 22
## 2614 8881.35266 0 17 22
## 2615 8842.01531 0 17 22
## 2616 8765.98234 0 17 22
## 2617 8671.50647 0 17 22
## 2618 8755.46241 0 17 22
## 2619 8904.26962 0 17 22
## 2620 8887.41482 0 17 22
## 2621 8890.10972 0 17 22
## 2622 8895.55595 0 17 22
## 2623 8914.83314 0 17 22
## 2624 8858.28716 0 17 22
## 2625 8873.64761 0 17 22
## 2626 8869.51719 0 17 22
## 2627 8848.81000 0 17 22
## 2628 8866.86482 0 17 22
## 2629 8797.10641 0 17 22
## 2630 8804.44291 0 17 22
## 2631 8711.71889 0 17 22
## 2632 8686.07495 0 17 22
## 2633 8527.13940 0 17 22
## 2634 8565.92091 0 17 22
## 2635 8547.57951 0 17 22
## 2636 8357.97048 0 17 22
## 2637 8261.96813 0 17 22
## 2638 8281.54168 0 17 22
## 2639 8233.18893 0 17 22
## 2640 8194.74369 0 17 22
## 2641 8239.66170 0 17 22
## 2642 8117.24330 0 17 22
## 2643 8058.58483 0 17 22
## 2644 7943.22443 0 17 22
## 2645 7826.20334 0 17 22
## 2646 7806.53282 0 17 22
## 2647 7728.54880 0 17 22
## 2648 7673.84648 0 17 22
## 2649 7650.06798 0 17 22
## 2650 7652.60168 0 17 22
## 2651 7599.87412 0 17 22
## 2652 7677.81556 0 17 22
## 2653 7677.81556 0 17 22
## 2654 7652.94876 0 17 22
## 2655 7615.14000 0 17 22
## 2656 7610.48781 0 17 22
## 2657 7613.76718 0 17 22
## 2658 7570.94435 0 17 22
## 2659 7513.41507 0 17 22
## 2660 7519.77750 0 17 22
## 2661 7436.31319 0 17 22
## 2662 7419.25709 0 17 22
## 2663 7281.51197 0 17 22
## 2664 7267.85623 0 17 22
## 2665 7158.55911 0 17 22
## 2666 7165.31955 0 17 22
## 2667 7186.82967 0 17 22
## 2668 7259.71501 0 17 22
## 2669 7224.71660 0 17 22
## 2670 7114.77935 0 17 22
## 2671 7059.88776 0 17 22
## 2672 6987.00521 0 17 22
## 2673 6994.80902 0 17 22
## 2674 6995.63449 0 17 22
## 2675 7009.58803 0 17 22
## 2676 7038.65187 0 17 22
## 2677 7013.85251 0 17 22
## 2678 7039.35876 0 17 22
## 2679 7092.17285 0 17 22
## 2680 7104.89795 0 17 22
## 2681 7112.82410 0 17 22
## 2682 7127.42752 0 17 22
## 2683 7160.85900 0 17 22
## 2684 7275.15759 0 17 22
## 2685 7375.08899 0 17 22
## 2686 7435.31456 0 17 22
## 2687 7461.22481 0 17 22
## 2688 7422.18574 0 17 22
## 2689 7372.55636 0 17 22
## 2690 7420.42046 0 17 22
## 2691 7453.98902 0 17 22
## 2692 7409.26850 0 17 22
## 2693 7348.88465 0 17 22
## 2694 7275.11387 0 17 22
## 2695 7248.08581 0 17 22
## 2696 7249.53711 0 17 22
## 2697 7318.36484 0 17 22
## 2698 7381.76144 0 17 22
## 2699 7326.03625 0 17 22
## 2700 7280.13602 0 17 22
## 2701 7234.72398 0 17 22
## 2702 7232.51781 0 17 22
## PCR_sens sigma_M beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0
## 1 0.9 1.170890e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2 0.9 1.170890e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 3 0.9 5.046780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 4 0.9 3.739315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 5 0.9 3.033004e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 6 0.9 2.871302e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 7 0.9 2.856454e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 8 0.9 2.802379e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 9 0.9 2.861634e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 10 0.9 2.810255e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 11 0.9 2.801047e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 12 0.9 2.802834e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 13 0.9 2.812284e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 14 0.9 2.831936e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 15 0.9 2.798522e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 16 0.9 2.791895e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 17 0.9 2.763692e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 18 0.9 2.802419e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 19 0.9 2.810670e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 20 0.9 2.765018e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 21 0.9 2.780868e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 22 0.9 2.794131e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 23 0.9 2.815587e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 24 0.9 2.789445e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 25 0.9 2.813435e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 26 0.9 2.841765e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 27 0.9 2.835220e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 28 0.9 2.796799e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 29 0.9 2.813779e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 30 0.9 2.808953e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 31 0.9 2.821753e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 32 0.9 2.810743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 33 0.9 2.803506e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 34 0.9 2.800849e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 35 0.9 2.823238e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 36 0.9 2.809961e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 37 0.9 2.823051e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 38 0.9 2.807129e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 39 0.9 2.810125e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 40 0.9 2.817105e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 41 0.9 2.810432e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 42 0.9 2.815829e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 43 0.9 2.773126e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 44 0.9 2.788179e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 45 0.9 2.797804e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 46 0.9 2.823136e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 47 0.9 2.822923e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 48 0.9 2.835393e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 49 0.9 2.821193e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 50 0.9 2.826758e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 51 0.9 2.830675e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 52 0.9 2.847049e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 53 0.9 2.847049e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 54 0.9 2.764579e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 55 0.9 2.742455e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 56 0.9 2.753559e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 57 0.9 2.752012e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 58 0.9 2.791508e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 59 0.9 2.791425e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 60 0.9 2.815809e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 61 0.9 2.774599e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 62 0.9 2.794237e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 63 0.9 2.779422e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 64 0.9 2.802165e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 65 0.9 2.811785e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 66 0.9 2.780489e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 67 0.9 2.785773e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 68 0.9 2.806868e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 69 0.9 2.780798e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 70 0.9 2.806809e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 71 0.9 2.817970e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 72 0.9 2.826439e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 73 0.9 2.808381e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 74 0.9 2.825898e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 75 0.9 2.769622e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 76 0.9 2.773826e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 77 0.9 2.781100e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 78 0.9 2.810948e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 79 0.9 2.784119e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 80 0.9 2.794557e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 81 0.9 2.780582e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 82 0.9 2.818613e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 83 0.9 2.813495e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 84 0.9 2.789979e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 85 0.9 2.784128e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 86 0.9 2.806481e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 87 0.9 2.792411e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 88 0.9 2.788473e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 89 0.9 2.782604e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 90 0.9 2.794192e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 91 0.9 2.810978e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 92 0.9 2.799597e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 93 0.9 2.820650e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 94 0.9 2.821189e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 95 0.9 2.823802e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 96 0.9 2.838033e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 97 0.9 2.841059e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 98 0.9 2.820789e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 99 0.9 2.801396e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 100 0.9 2.800194e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 101 0.9 2.798837e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 102 0.9 2.809486e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 103 0.9 2.812833e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 104 0.9 2.812833e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 105 0.9 2.331963e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 106 0.9 2.331963e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 107 0.9 2.526067e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 108 0.9 2.801876e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 109 0.9 2.787663e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 110 0.9 2.808466e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 111 0.9 2.823524e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 112 0.9 2.824673e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 113 0.9 2.818823e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 114 0.9 2.825172e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 115 0.9 2.802743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 116 0.9 2.778281e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 117 0.9 2.820971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 118 0.9 2.793166e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 119 0.9 2.801070e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 120 0.9 2.798870e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 121 0.9 2.804038e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 122 0.9 2.795860e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 123 0.9 2.788924e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 124 0.9 2.819800e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 125 0.9 2.813751e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 126 0.9 2.781729e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 127 0.9 2.811616e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 128 0.9 2.807606e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 129 0.9 2.807110e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 130 0.9 2.794776e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 131 0.9 2.801243e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 132 0.9 2.774442e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 133 0.9 2.797965e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 134 0.9 2.793150e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 135 0.9 2.803733e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 136 0.9 2.793089e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 137 0.9 2.786072e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 138 0.9 2.786154e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 139 0.9 2.788515e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 140 0.9 2.807821e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 141 0.9 2.806586e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 142 0.9 2.799582e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 143 0.9 2.814190e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 144 0.9 2.795673e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 145 0.9 2.799741e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 146 0.9 2.789462e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 147 0.9 2.825403e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 148 0.9 2.808769e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 149 0.9 2.810363e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 150 0.9 2.791972e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 151 0.9 2.809989e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 152 0.9 2.816911e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 153 0.9 2.832949e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 154 0.9 2.814172e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 155 0.9 2.781963e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 156 0.9 2.781353e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 157 0.9 2.781353e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 158 0.9 2.766012e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 159 0.9 2.757137e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 160 0.9 2.770273e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 161 0.9 2.779099e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 162 0.9 2.781981e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 163 0.9 2.746186e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 164 0.9 2.767840e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 165 0.9 2.742955e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 166 0.9 2.789675e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 167 0.9 2.807101e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 168 0.9 2.778149e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 169 0.9 2.738694e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 170 0.9 2.769578e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 171 0.9 2.759076e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 172 0.9 2.763004e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 173 0.9 2.777326e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 174 0.9 2.783625e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 175 0.9 2.785241e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 176 0.9 2.783218e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 177 0.9 2.807931e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 178 0.9 2.794883e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 179 0.9 2.804143e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 180 0.9 2.757916e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 181 0.9 2.795935e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 182 0.9 2.786076e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 183 0.9 2.795002e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 184 0.9 2.766767e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 185 0.9 2.811901e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 186 0.9 2.786885e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 187 0.9 2.801963e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 188 0.9 2.802307e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 189 0.9 2.778711e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 190 0.9 2.806086e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 191 0.9 2.786099e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 192 0.9 2.810100e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 193 0.9 2.796954e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 194 0.9 2.766557e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 195 0.9 2.791043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 196 0.9 2.788288e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 197 0.9 2.782030e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 198 0.9 2.815049e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 199 0.9 2.800497e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 200 0.9 2.819967e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 201 0.9 2.802558e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 202 0.9 2.780564e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 203 0.9 2.789465e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 204 0.9 2.792927e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 205 0.9 2.793134e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 206 0.9 2.809396e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 207 0.9 2.822887e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 208 0.9 2.822887e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 209 0.9 1.328549e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 210 0.9 1.328549e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 211 0.9 7.911454e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 212 0.9 1.319041e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 213 0.9 1.333908e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 214 0.9 9.277397e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 215 0.9 5.972598e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 216 0.9 5.740480e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 217 0.9 5.885267e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 218 0.9 5.277094e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 219 0.9 4.645594e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 220 0.9 4.262853e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 221 0.9 4.410928e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 222 0.9 3.933860e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 223 0.9 3.834035e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 224 0.9 3.635547e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 225 0.9 3.500470e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 226 0.9 3.165266e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 227 0.9 3.093058e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 228 0.9 3.066629e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 229 0.9 3.077685e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 230 0.9 3.051950e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 231 0.9 3.059811e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 232 0.9 3.024563e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 233 0.9 3.071410e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 234 0.9 3.078552e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 235 0.9 3.007375e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 236 0.9 3.066615e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 237 0.9 3.095187e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 238 0.9 3.115899e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 239 0.9 3.099306e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 240 0.9 3.076889e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 241 0.9 3.072802e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 242 0.9 3.094890e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 243 0.9 3.061050e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 244 0.9 3.113106e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 245 0.9 3.017491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 246 0.9 3.067198e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 247 0.9 3.096756e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 248 0.9 3.021274e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 249 0.9 3.061299e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 250 0.9 3.062491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 251 0.9 3.066051e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 252 0.9 3.052076e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 253 0.9 3.065846e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 254 0.9 3.097387e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 255 0.9 3.153583e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 256 0.9 3.093257e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 257 0.9 3.113243e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 258 0.9 3.079011e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 259 0.9 3.035782e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 260 0.9 2.996984e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 261 0.9 2.996984e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 262 0.9 2.926294e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 263 0.9 3.005620e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 264 0.9 3.026771e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 265 0.9 2.992009e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 266 0.9 2.983783e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 267 0.9 3.016125e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 268 0.9 3.001233e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 269 0.9 3.031763e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 270 0.9 3.071816e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 271 0.9 3.025719e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 272 0.9 3.015506e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 273 0.9 3.005880e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 274 0.9 3.056619e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 275 0.9 3.021050e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 276 0.9 3.031463e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 277 0.9 3.041669e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 278 0.9 3.107932e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 279 0.9 3.083961e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 280 0.9 3.061661e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 281 0.9 2.962604e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 282 0.9 3.053683e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 283 0.9 2.963356e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 284 0.9 3.055340e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 285 0.9 2.991786e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 286 0.9 2.998203e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 287 0.9 3.003334e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 288 0.9 3.074590e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 289 0.9 3.022186e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 290 0.9 3.027651e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 291 0.9 2.987592e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 292 0.9 3.070987e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 293 0.9 2.992161e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 294 0.9 3.042239e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 295 0.9 2.999940e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 296 0.9 3.017037e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 297 0.9 3.035987e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 298 0.9 2.953539e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 299 0.9 3.033905e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 300 0.9 3.001814e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 301 0.9 3.014348e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 302 0.9 2.987716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 303 0.9 3.045661e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 304 0.9 3.047136e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 305 0.9 3.015479e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 306 0.9 3.028270e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 307 0.9 3.047783e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 308 0.9 3.025143e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 309 0.9 3.030026e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 310 0.9 3.068353e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 311 0.9 3.054860e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 312 0.9 3.054860e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 313 0.9 9.931193e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 314 0.9 9.931193e-03 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 315 0.9 4.772264e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 316 0.9 1.091297e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 317 0.9 1.148146e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 318 0.9 1.092360e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 319 0.9 1.196069e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 320 0.9 9.713320e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 321 0.9 8.536521e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 322 0.9 8.863814e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 323 0.9 8.564029e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 324 0.9 7.814086e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 325 0.9 6.686746e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 326 0.9 5.629403e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 327 0.9 4.633382e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 328 0.9 3.940218e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 329 0.9 3.187799e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 330 0.9 2.855727e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 331 0.9 2.857360e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 332 0.9 2.851829e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 333 0.9 2.834860e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 334 0.9 2.876088e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 335 0.9 2.834442e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 336 0.9 2.829640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 337 0.9 2.809331e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 338 0.9 2.852268e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 339 0.9 2.876108e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 340 0.9 2.834768e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 341 0.9 2.873290e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 342 0.9 2.830809e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 343 0.9 2.871553e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 344 0.9 2.865358e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 345 0.9 2.837106e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 346 0.9 2.808666e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 347 0.9 2.815200e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 348 0.9 2.814676e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 349 0.9 2.839082e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 350 0.9 2.859344e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 351 0.9 2.822768e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 352 0.9 2.807090e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 353 0.9 2.843668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 354 0.9 2.836267e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 355 0.9 2.867133e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 356 0.9 2.825949e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 357 0.9 2.822243e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 358 0.9 2.837265e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 359 0.9 2.825006e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 360 0.9 2.861914e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 361 0.9 2.849458e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 362 0.9 2.830998e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 363 0.9 2.821370e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 364 0.9 2.834319e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 365 0.9 2.834319e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 366 0.9 2.756947e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 367 0.9 2.821340e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 368 0.9 2.784816e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 369 0.9 2.757382e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 370 0.9 2.774113e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 371 0.9 2.795802e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 372 0.9 2.753936e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 373 0.9 2.787240e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 374 0.9 2.805986e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 375 0.9 2.740089e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 376 0.9 2.790272e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 377 0.9 2.826174e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 378 0.9 2.805097e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 379 0.9 2.779891e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 380 0.9 2.799485e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 381 0.9 2.804608e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 382 0.9 2.799277e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 383 0.9 2.794930e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 384 0.9 2.833506e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 385 0.9 2.825169e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 386 0.9 2.816459e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 387 0.9 2.814467e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 388 0.9 2.827525e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 389 0.9 2.795905e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 390 0.9 2.793090e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 391 0.9 2.809835e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 392 0.9 2.805744e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 393 0.9 2.821917e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 394 0.9 2.813134e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 395 0.9 2.780673e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 396 0.9 2.780037e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 397 0.9 2.796671e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 398 0.9 2.819688e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 399 0.9 2.825467e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 400 0.9 2.795168e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 401 0.9 2.808136e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 402 0.9 2.817939e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 403 0.9 2.853182e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 404 0.9 2.836588e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 405 0.9 2.836900e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 406 0.9 2.806876e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 407 0.9 2.830683e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 408 0.9 2.806177e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 409 0.9 2.815024e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 410 0.9 2.820109e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 411 0.9 2.813949e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 412 0.9 2.822671e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 413 0.9 2.838825e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 414 0.9 2.821539e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 415 0.9 2.818887e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 416 0.9 2.818887e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 417 0.9 3.776244e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 418 0.9 3.776244e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 419 0.9 3.014799e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 420 0.9 3.036543e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 421 0.9 2.827480e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 422 0.9 2.798985e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 423 0.9 2.787281e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 424 0.9 2.795244e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 425 0.9 2.803285e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 426 0.9 2.810222e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 427 0.9 2.824074e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 428 0.9 2.840876e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 429 0.9 2.780475e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 430 0.9 2.846318e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 431 0.9 2.830295e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 432 0.9 2.812133e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 433 0.9 2.829017e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 434 0.9 2.818391e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 435 0.9 2.801386e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 436 0.9 2.814895e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 437 0.9 2.826514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 438 0.9 2.848465e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 439 0.9 2.828680e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 440 0.9 2.798876e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 441 0.9 2.809679e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 442 0.9 2.802252e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 443 0.9 2.807448e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 444 0.9 2.787131e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 445 0.9 2.803174e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 446 0.9 2.814618e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 447 0.9 2.821782e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 448 0.9 2.793179e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 449 0.9 2.814924e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 450 0.9 2.817647e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 451 0.9 2.830863e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 452 0.9 2.851523e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 453 0.9 2.823079e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 454 0.9 2.827521e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 455 0.9 2.853482e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 456 0.9 2.845754e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 457 0.9 2.838544e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 458 0.9 2.837182e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 459 0.9 2.824211e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 460 0.9 2.834208e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 461 0.9 2.825433e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 462 0.9 2.837133e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 463 0.9 2.852421e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 464 0.9 2.838271e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 465 0.9 2.824021e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 466 0.9 2.793377e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 467 0.9 2.821641e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 468 0.9 2.842102e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 469 0.9 2.842102e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 470 0.9 2.750371e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 471 0.9 2.756714e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 472 0.9 2.794909e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 473 0.9 2.763083e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 474 0.9 2.744093e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 475 0.9 2.788079e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 476 0.9 2.782406e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 477 0.9 2.772262e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 478 0.9 2.756957e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 479 0.9 2.757841e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 480 0.9 2.783246e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 481 0.9 2.773440e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 482 0.9 2.795186e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 483 0.9 2.755398e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 484 0.9 2.816892e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 485 0.9 2.783976e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 486 0.9 2.776769e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 487 0.9 2.739747e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 488 0.9 2.803602e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 489 0.9 2.804734e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 490 0.9 2.785789e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 491 0.9 2.792123e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 492 0.9 2.815045e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 493 0.9 2.826761e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 494 0.9 2.813226e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 495 0.9 2.797880e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 496 0.9 2.760140e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 497 0.9 2.793476e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 498 0.9 2.795526e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 499 0.9 2.796607e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 500 0.9 2.798948e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 501 0.9 2.797720e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 502 0.9 2.802789e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 503 0.9 2.809942e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 504 0.9 2.805949e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 505 0.9 2.783435e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 506 0.9 2.816588e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 507 0.9 2.820610e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 508 0.9 2.840627e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 509 0.9 2.812920e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 510 0.9 2.789680e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 511 0.9 2.778897e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 512 0.9 2.772774e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 513 0.9 2.778788e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 514 0.9 2.801689e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 515 0.9 2.800085e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 516 0.9 2.796211e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 517 0.9 2.813185e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 518 0.9 2.799741e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 519 0.9 2.813034e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 520 0.9 2.813034e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 521 0.9 2.376062e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 522 0.9 2.376062e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 523 0.9 8.245964e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 524 0.9 9.779846e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 525 0.9 6.158035e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 526 0.9 6.097567e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 527 0.9 4.711211e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 528 0.9 3.856173e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 529 0.9 3.063213e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 530 0.9 2.844779e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 531 0.9 2.842117e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 532 0.9 2.840194e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 533 0.9 2.791916e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 534 0.9 2.794471e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 535 0.9 2.824895e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 536 0.9 2.846327e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 537 0.9 2.785950e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 538 0.9 2.773146e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 539 0.9 2.786682e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 540 0.9 2.788774e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 541 0.9 2.810372e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 542 0.9 2.822506e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 543 0.9 2.807174e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 544 0.9 2.794143e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 545 0.9 2.799182e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 546 0.9 2.837698e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 547 0.9 2.790209e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 548 0.9 2.824184e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 549 0.9 2.857454e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 550 0.9 2.833318e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 551 0.9 2.824655e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 552 0.9 2.842038e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 553 0.9 2.802486e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 554 0.9 2.808817e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 555 0.9 2.781742e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 556 0.9 2.790151e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 557 0.9 2.831745e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 558 0.9 2.809597e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 559 0.9 2.822235e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 560 0.9 2.822682e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 561 0.9 2.824818e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 562 0.9 2.798328e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 563 0.9 2.797460e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 564 0.9 2.793324e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 565 0.9 2.816668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 566 0.9 2.802982e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 567 0.9 2.809450e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 568 0.9 2.806473e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 569 0.9 2.806368e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 570 0.9 2.820096e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 571 0.9 2.793313e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 572 0.9 2.778970e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 573 0.9 2.778970e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 574 0.9 2.733217e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 575 0.9 2.760095e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 576 0.9 2.782165e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 577 0.9 2.773339e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 578 0.9 2.773031e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 579 0.9 2.783156e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 580 0.9 2.768031e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 581 0.9 2.773363e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 582 0.9 2.787242e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 583 0.9 2.758304e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 584 0.9 2.790331e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 585 0.9 2.791791e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 586 0.9 2.783375e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 587 0.9 2.745092e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 588 0.9 2.738705e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 589 0.9 2.756244e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 590 0.9 2.818502e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 591 0.9 2.762702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 592 0.9 2.808678e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 593 0.9 2.806129e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 594 0.9 2.774388e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 595 0.9 2.802099e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 596 0.9 2.796326e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 597 0.9 2.808836e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 598 0.9 2.802038e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 599 0.9 2.786083e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 600 0.9 2.809125e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 601 0.9 2.806186e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 602 0.9 2.780136e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 603 0.9 2.799696e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 604 0.9 2.815007e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 605 0.9 2.805629e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 606 0.9 2.815491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 607 0.9 2.813854e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 608 0.9 2.778892e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 609 0.9 2.806417e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 610 0.9 2.797487e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 611 0.9 2.818057e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 612 0.9 2.773109e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 613 0.9 2.771958e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 614 0.9 2.782631e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 615 0.9 2.789926e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 616 0.9 2.791120e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 617 0.9 2.754248e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 618 0.9 2.832003e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 619 0.9 2.793131e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 620 0.9 2.824138e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 621 0.9 2.798350e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 622 0.9 2.790358e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 623 0.9 2.796012e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 624 0.9 2.796012e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 625 0.9 3.743175e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 626 0.9 3.743175e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 627 0.9 2.060216e+01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 628 0.9 4.002948e+01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 629 0.9 2.489091e+01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 630 0.9 1.118913e+01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 631 0.9 3.779510e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 632 0.9 1.178170e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 633 0.9 5.731429e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 634 0.9 3.479234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 635 0.9 3.112402e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 636 0.9 3.090637e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 637 0.9 3.066047e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 638 0.9 3.008770e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 639 0.9 2.943607e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 640 0.9 3.023800e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 641 0.9 2.962180e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 642 0.9 3.002582e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 643 0.9 2.961873e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 644 0.9 2.986567e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 645 0.9 2.963236e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 646 0.9 3.024103e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 647 0.9 2.960520e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 648 0.9 2.990491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 649 0.9 2.962829e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 650 0.9 3.002690e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 651 0.9 3.022671e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 652 0.9 3.088394e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 653 0.9 3.056245e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 654 0.9 2.981420e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 655 0.9 3.013870e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 656 0.9 3.033953e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 657 0.9 2.971441e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 658 0.9 3.015339e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 659 0.9 3.013806e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 660 0.9 2.944138e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 661 0.9 2.974111e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 662 0.9 3.017507e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 663 0.9 3.062303e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 664 0.9 3.078036e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 665 0.9 3.081103e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 666 0.9 3.017796e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 667 0.9 3.010712e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 668 0.9 2.938753e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 669 0.9 3.075180e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 670 0.9 3.063114e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 671 0.9 2.967720e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 672 0.9 3.005354e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 673 0.9 2.988934e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 674 0.9 3.059626e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 675 0.9 3.067202e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 676 0.9 3.059371e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 677 0.9 3.059371e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 678 0.9 2.864336e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 679 0.9 2.875465e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 680 0.9 2.836941e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 681 0.9 2.948136e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 682 0.9 2.923894e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 683 0.9 2.886832e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 684 0.9 2.900346e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 685 0.9 2.877213e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 686 0.9 2.934757e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 687 0.9 2.901905e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 688 0.9 2.939797e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 689 0.9 2.894459e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 690 0.9 2.932395e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 691 0.9 2.873297e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 692 0.9 2.912205e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 693 0.9 2.880724e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 694 0.9 2.930727e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 695 0.9 2.969823e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 696 0.9 2.968927e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 697 0.9 2.942341e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 698 0.9 2.959808e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 699 0.9 2.932290e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 700 0.9 2.937026e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 701 0.9 2.886455e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 702 0.9 2.907868e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 703 0.9 2.935039e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 704 0.9 2.929933e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 705 0.9 2.958850e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 706 0.9 2.936387e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 707 0.9 2.898504e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 708 0.9 2.968866e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 709 0.9 2.974664e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 710 0.9 2.995495e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 711 0.9 2.976172e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 712 0.9 2.972164e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 713 0.9 2.926108e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 714 0.9 2.949846e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 715 0.9 2.976086e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 716 0.9 2.922818e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 717 0.9 2.967760e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 718 0.9 2.949258e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 719 0.9 3.000866e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 720 0.9 3.006379e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 721 0.9 2.932920e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 722 0.9 3.003150e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 723 0.9 2.970722e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 724 0.9 2.973290e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 725 0.9 2.952784e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 726 0.9 2.960885e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 727 0.9 2.946864e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 728 0.9 2.946864e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 729 0.9 1.857149e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 730 0.9 1.857149e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 731 0.9 6.696822e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 732 0.9 7.835463e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 733 0.9 5.482489e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 734 0.9 5.469881e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 735 0.9 4.082499e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 736 0.9 3.705969e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 737 0.9 3.003064e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 738 0.9 2.879888e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 739 0.9 2.882134e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 740 0.9 2.887188e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 741 0.9 2.895388e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 742 0.9 2.869425e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 743 0.9 2.853792e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 744 0.9 2.852674e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 745 0.9 2.856105e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 746 0.9 2.866212e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 747 0.9 2.874583e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 748 0.9 2.887024e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 749 0.9 2.892138e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 750 0.9 2.915220e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 751 0.9 2.932581e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 752 0.9 2.896796e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 753 0.9 2.909193e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 754 0.9 2.882501e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 755 0.9 2.843158e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 756 0.9 2.810065e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 757 0.9 2.883583e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 758 0.9 2.859790e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 759 0.9 2.907935e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 760 0.9 2.857487e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 761 0.9 2.894587e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 762 0.9 2.876393e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 763 0.9 2.888265e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 764 0.9 2.849872e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 765 0.9 2.894527e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 766 0.9 2.864589e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 767 0.9 2.904226e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 768 0.9 2.887003e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 769 0.9 2.926438e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 770 0.9 2.916261e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 771 0.9 2.889968e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 772 0.9 2.893994e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 773 0.9 2.902201e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 774 0.9 2.912063e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 775 0.9 2.925921e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 776 0.9 2.895099e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 777 0.9 2.904131e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 778 0.9 2.892514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 779 0.9 2.875453e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 780 0.9 2.900743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 781 0.9 2.900743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 782 0.9 2.790653e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 783 0.9 2.798304e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 784 0.9 2.833961e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 785 0.9 2.840656e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 786 0.9 2.825960e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 787 0.9 2.853863e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 788 0.9 2.848656e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 789 0.9 2.838428e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 790 0.9 2.834153e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 791 0.9 2.850942e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 792 0.9 2.828136e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 793 0.9 2.824596e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 794 0.9 2.819381e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 795 0.9 2.822051e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 796 0.9 2.861884e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 797 0.9 2.847740e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 798 0.9 2.843408e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 799 0.9 2.850959e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 800 0.9 2.815612e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 801 0.9 2.862692e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 802 0.9 2.849546e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 803 0.9 2.888215e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 804 0.9 2.841319e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 805 0.9 2.877511e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 806 0.9 2.852909e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 807 0.9 2.852754e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 808 0.9 2.849521e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 809 0.9 2.865615e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 810 0.9 2.860554e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 811 0.9 2.904019e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 812 0.9 2.881104e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 813 0.9 2.860640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 814 0.9 2.838969e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 815 0.9 2.851554e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 816 0.9 2.880721e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 817 0.9 2.853743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 818 0.9 2.846571e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 819 0.9 2.863722e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 820 0.9 2.831231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 821 0.9 2.879767e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 822 0.9 2.880594e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 823 0.9 2.858128e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 824 0.9 2.888590e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 825 0.9 2.842437e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 826 0.9 2.840394e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 827 0.9 2.906924e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 828 0.9 2.902530e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 829 0.9 2.906296e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 830 0.9 2.872613e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 831 0.9 2.854402e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 832 0.9 2.854402e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 833 0.9 2.008242e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 834 0.9 2.008242e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 835 0.9 5.430673e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 836 0.9 3.141398e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 837 0.9 1.285300e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 838 0.9 9.880630e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 839 0.9 7.604626e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 840 0.9 6.679877e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 841 0.9 4.619322e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 842 0.9 3.660833e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 843 0.9 3.096101e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 844 0.9 2.952283e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 845 0.9 2.948164e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 846 0.9 2.870488e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 847 0.9 2.865509e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 848 0.9 2.867471e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 849 0.9 2.859058e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 850 0.9 2.870469e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 851 0.9 2.865926e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 852 0.9 2.876627e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 853 0.9 2.903559e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 854 0.9 2.866199e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 855 0.9 2.840522e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 856 0.9 2.878387e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 857 0.9 2.876089e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 858 0.9 2.873882e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 859 0.9 2.871726e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 860 0.9 2.888049e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 861 0.9 2.873675e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 862 0.9 2.846039e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 863 0.9 2.887807e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 864 0.9 2.876073e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 865 0.9 2.910241e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 866 0.9 2.864920e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 867 0.9 2.855321e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 868 0.9 2.863158e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 869 0.9 2.896414e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 870 0.9 2.915813e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 871 0.9 2.855103e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 872 0.9 2.859613e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 873 0.9 2.841351e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 874 0.9 2.850755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 875 0.9 2.874529e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 876 0.9 2.876509e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 877 0.9 2.893756e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 878 0.9 2.903968e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 879 0.9 2.895905e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 880 0.9 2.861473e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 881 0.9 2.868107e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 882 0.9 2.892259e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 883 0.9 2.853227e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 884 0.9 2.883545e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 885 0.9 2.883545e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 886 0.9 2.762608e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 887 0.9 2.811169e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 888 0.9 2.818267e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 889 0.9 2.834032e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 890 0.9 2.860012e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 891 0.9 2.828395e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 892 0.9 2.814188e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 893 0.9 2.802664e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 894 0.9 2.820401e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 895 0.9 2.902596e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 896 0.9 2.838238e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 897 0.9 2.805577e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 898 0.9 2.820971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 899 0.9 2.834654e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 900 0.9 2.807621e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 901 0.9 2.801246e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 902 0.9 2.790490e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 903 0.9 2.853086e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 904 0.9 2.836795e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 905 0.9 2.832817e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 906 0.9 2.820575e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 907 0.9 2.776009e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 908 0.9 2.844572e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 909 0.9 2.841119e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 910 0.9 2.835878e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 911 0.9 2.831736e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 912 0.9 2.863637e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 913 0.9 2.824466e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 914 0.9 2.840227e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 915 0.9 2.835104e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 916 0.9 2.821127e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 917 0.9 2.812188e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 918 0.9 2.842151e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 919 0.9 2.840840e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 920 0.9 2.848108e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 921 0.9 2.806042e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 922 0.9 2.816799e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 923 0.9 2.831810e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 924 0.9 2.857977e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 925 0.9 2.836938e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 926 0.9 2.851522e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 927 0.9 2.834470e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 928 0.9 2.853838e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 929 0.9 2.861534e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 930 0.9 2.842471e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 931 0.9 2.862279e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 932 0.9 2.860266e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 933 0.9 2.885270e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 934 0.9 2.864226e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 935 0.9 2.828465e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 936 0.9 2.828465e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 937 0.9 2.199605e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 938 0.9 2.199605e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 939 0.9 1.456030e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 940 0.9 5.281161e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 941 0.9 3.049684e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 942 0.9 2.845389e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 943 0.9 2.802667e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 944 0.9 2.852280e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 945 0.9 2.810519e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 946 0.9 2.799467e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 947 0.9 2.778615e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 948 0.9 2.769068e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 949 0.9 2.781814e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 950 0.9 2.823296e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 951 0.9 2.790044e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 952 0.9 2.799309e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 953 0.9 2.826358e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 954 0.9 2.788571e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 955 0.9 2.783826e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 956 0.9 2.785581e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 957 0.9 2.784546e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 958 0.9 2.798081e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 959 0.9 2.786876e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 960 0.9 2.778497e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 961 0.9 2.803356e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 962 0.9 2.822588e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 963 0.9 2.798014e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 964 0.9 2.808251e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 965 0.9 2.788440e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 966 0.9 2.826469e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 967 0.9 2.818287e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 968 0.9 2.810574e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 969 0.9 2.807262e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 970 0.9 2.816019e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 971 0.9 2.814838e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 972 0.9 2.778864e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 973 0.9 2.809033e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 974 0.9 2.821885e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 975 0.9 2.793650e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 976 0.9 2.832534e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 977 0.9 2.837457e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 978 0.9 2.839500e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 979 0.9 2.807703e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 980 0.9 2.815504e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 981 0.9 2.823268e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 982 0.9 2.834255e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 983 0.9 2.810619e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 984 0.9 2.785030e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 985 0.9 2.820230e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 986 0.9 2.833824e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 987 0.9 2.815960e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 988 0.9 2.832779e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 989 0.9 2.832779e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 990 0.9 2.752803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 991 0.9 2.776580e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 992 0.9 2.790266e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 993 0.9 2.793350e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 994 0.9 2.751233e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 995 0.9 2.753402e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 996 0.9 2.765941e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 997 0.9 2.789843e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 998 0.9 2.795948e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 999 0.9 2.820562e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1000 0.9 2.823739e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1001 0.9 2.810167e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1002 0.9 2.810225e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1003 0.9 2.818223e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1004 0.9 2.779807e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1005 0.9 2.793821e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1006 0.9 2.804780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1007 0.9 2.805163e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1008 0.9 2.787010e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1009 0.9 2.800577e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1010 0.9 2.760324e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1011 0.9 2.774938e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1012 0.9 2.794539e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1013 0.9 2.801428e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1014 0.9 2.810464e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1015 0.9 2.799985e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1016 0.9 2.809693e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1017 0.9 2.790184e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1018 0.9 2.784595e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1019 0.9 2.804059e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1020 0.9 2.806750e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1021 0.9 2.806850e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1022 0.9 2.833378e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1023 0.9 2.811850e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1024 0.9 2.841081e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1025 0.9 2.782725e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1026 0.9 2.821162e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1027 0.9 2.825063e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1028 0.9 2.810250e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1029 0.9 2.779714e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1030 0.9 2.830338e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1031 0.9 2.811331e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1032 0.9 2.819462e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1033 0.9 2.810253e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1034 0.9 2.813604e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1035 0.9 2.808514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1036 0.9 2.815365e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1037 0.9 2.803938e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1038 0.9 2.803299e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1039 0.9 2.809340e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1040 0.9 2.809340e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1041 0.9 3.009818e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1042 0.9 3.009818e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1043 0.9 2.315784e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1044 0.9 4.564349e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1045 0.9 3.296377e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1046 0.9 3.142032e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1047 0.9 2.981950e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1048 0.9 2.823716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1049 0.9 2.825876e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1050 0.9 2.857847e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1051 0.9 2.862161e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1052 0.9 2.827483e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1053 0.9 2.825284e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1054 0.9 2.772512e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1055 0.9 2.826626e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1056 0.9 2.807682e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1057 0.9 2.796911e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1058 0.9 2.808626e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1059 0.9 2.804729e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1060 0.9 2.856482e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1061 0.9 2.823453e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1062 0.9 2.835266e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1063 0.9 2.845174e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1064 0.9 2.816932e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1065 0.9 2.846621e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1066 0.9 2.814355e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1067 0.9 2.814988e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1068 0.9 2.805199e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1069 0.9 2.828045e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1070 0.9 2.806297e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1071 0.9 2.811809e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1072 0.9 2.794518e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1073 0.9 2.825842e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1074 0.9 2.819047e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1075 0.9 2.821833e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1076 0.9 2.821591e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1077 0.9 2.818640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1078 0.9 2.845401e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1079 0.9 2.872152e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1080 0.9 2.847410e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1081 0.9 2.812927e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1082 0.9 2.816225e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1083 0.9 2.820718e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1084 0.9 2.807753e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1085 0.9 2.805273e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1086 0.9 2.832213e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1087 0.9 2.832234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1088 0.9 2.849527e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1089 0.9 2.814770e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1090 0.9 2.828630e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1091 0.9 2.785938e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1092 0.9 2.811863e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1093 0.9 2.811863e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1094 0.9 2.755914e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1095 0.9 2.788806e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1096 0.9 2.769165e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1097 0.9 2.789856e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1098 0.9 2.798322e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1099 0.9 2.781604e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1100 0.9 2.770022e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1101 0.9 2.820627e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1102 0.9 2.781441e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1103 0.9 2.812507e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1104 0.9 2.797527e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1105 0.9 2.790493e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1106 0.9 2.812619e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1107 0.9 2.771758e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1108 0.9 2.784897e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1109 0.9 2.759042e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1110 0.9 2.784393e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1111 0.9 2.792323e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1112 0.9 2.799684e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1113 0.9 2.804870e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1114 0.9 2.774259e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1115 0.9 2.792674e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1116 0.9 2.800293e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1117 0.9 2.771873e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1118 0.9 2.766163e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1119 0.9 2.823348e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1120 0.9 2.815740e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1121 0.9 2.821535e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1122 0.9 2.788640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1123 0.9 2.782198e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1124 0.9 2.817183e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1125 0.9 2.815547e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1126 0.9 2.809420e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1127 0.9 2.798798e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1128 0.9 2.807675e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1129 0.9 2.784567e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1130 0.9 2.779081e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1131 0.9 2.806778e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1132 0.9 2.791322e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1133 0.9 2.793806e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1134 0.9 2.794722e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1135 0.9 2.815935e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1136 0.9 2.794924e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1137 0.9 2.823795e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1138 0.9 2.822232e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1139 0.9 2.821233e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1140 0.9 2.805724e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1141 0.9 2.804259e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1142 0.9 2.830480e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1143 0.9 2.813673e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1144 0.9 2.813673e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1145 0.9 3.224717e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1146 0.9 3.224717e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1147 0.9 9.898370e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1148 0.9 1.221922e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1149 0.9 1.095132e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1150 0.9 9.071930e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1151 0.9 7.391988e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1152 0.9 6.403520e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1153 0.9 5.492531e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1154 0.9 4.078701e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1155 0.9 3.966099e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1156 0.9 3.336313e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1157 0.9 3.167321e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1158 0.9 2.988069e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1159 0.9 3.067983e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1160 0.9 3.039029e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1161 0.9 2.892784e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1162 0.9 2.981513e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1163 0.9 2.878202e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1164 0.9 2.832281e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1165 0.9 2.850941e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1166 0.9 2.870603e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1167 0.9 2.887671e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1168 0.9 2.824766e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1169 0.9 2.865824e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1170 0.9 2.926387e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1171 0.9 2.890917e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1172 0.9 2.847209e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1173 0.9 2.881947e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1174 0.9 2.853128e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1175 0.9 2.838350e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1176 0.9 2.864858e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1177 0.9 2.853950e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1178 0.9 2.848186e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1179 0.9 2.865711e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1180 0.9 2.821328e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1181 0.9 2.843593e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1182 0.9 2.894179e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1183 0.9 2.835603e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1184 0.9 2.853685e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1185 0.9 2.855323e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1186 0.9 2.846447e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1187 0.9 2.903904e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1188 0.9 2.908126e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1189 0.9 2.895243e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1190 0.9 2.866867e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1191 0.9 2.861660e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1192 0.9 2.868487e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1193 0.9 2.862870e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1194 0.9 2.881558e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1195 0.9 2.863318e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1196 0.9 2.868059e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1197 0.9 2.868059e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1198 0.9 2.810623e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1199 0.9 2.800976e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1200 0.9 2.809848e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1201 0.9 2.742514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1202 0.9 2.797288e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1203 0.9 2.784680e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1204 0.9 2.828199e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1205 0.9 2.874493e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1206 0.9 2.833555e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1207 0.9 2.806938e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1208 0.9 2.801251e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1209 0.9 2.846468e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1210 0.9 2.790196e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1211 0.9 2.851995e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1212 0.9 2.797161e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1213 0.9 2.874389e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1214 0.9 2.798703e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1215 0.9 2.828119e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1216 0.9 2.808685e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1217 0.9 2.879072e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1218 0.9 2.849347e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1219 0.9 2.827230e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1220 0.9 2.808734e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1221 0.9 2.798988e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1222 0.9 2.815044e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1223 0.9 2.810056e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1224 0.9 2.790086e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1225 0.9 2.806750e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1226 0.9 2.824222e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1227 0.9 2.817149e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1228 0.9 2.850174e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1229 0.9 2.838931e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1230 0.9 2.807639e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1231 0.9 2.834620e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1232 0.9 2.820752e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1233 0.9 2.860906e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1234 0.9 2.817250e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1235 0.9 2.837314e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1236 0.9 2.824220e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1237 0.9 2.806987e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1238 0.9 2.819403e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1239 0.9 2.816638e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1240 0.9 2.811913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1241 0.9 2.841975e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1242 0.9 2.830657e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1243 0.9 2.832545e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1244 0.9 2.842541e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1245 0.9 2.825216e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1246 0.9 2.844800e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1247 0.9 2.858236e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1248 0.9 2.858236e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1249 0.9 4.027945e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1250 0.9 4.027945e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1251 0.9 1.208423e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1252 0.9 1.295451e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1253 0.9 1.179876e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1254 0.9 1.157352e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1255 0.9 1.178520e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1256 0.9 1.117353e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1257 0.9 9.563543e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1258 0.9 7.558271e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1259 0.9 7.348404e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1260 0.9 7.453800e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1261 0.9 7.182104e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1262 0.9 6.887475e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1263 0.9 7.435686e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1264 0.9 6.913401e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1265 0.9 6.980448e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1266 0.9 6.571743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1267 0.9 6.285566e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1268 0.9 6.130568e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1269 0.9 6.047327e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1270 0.9 6.143309e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1271 0.9 6.253838e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1272 0.9 6.003187e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1273 0.9 5.693847e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1274 0.9 5.350338e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1275 0.9 5.301152e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1276 0.9 5.144862e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1277 0.9 5.293015e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1278 0.9 5.260964e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1279 0.9 4.996348e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1280 0.9 4.934056e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1281 0.9 4.827502e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1282 0.9 4.653647e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1283 0.9 4.399716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1284 0.9 4.259661e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1285 0.9 4.104690e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1286 0.9 3.601772e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1287 0.9 3.547657e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1288 0.9 3.319414e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1289 0.9 3.442492e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1290 0.9 3.392642e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1291 0.9 3.387164e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1292 0.9 3.219657e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1293 0.9 3.124680e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1294 0.9 3.168595e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1295 0.9 3.137878e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1296 0.9 3.161579e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1297 0.9 3.105720e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1298 0.9 3.121721e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1299 0.9 3.066132e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1300 0.9 3.125436e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1301 0.9 3.125436e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1302 0.9 2.966662e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1303 0.9 2.971754e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1304 0.9 3.014183e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1305 0.9 2.988094e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1306 0.9 3.098894e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1307 0.9 2.970189e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1308 0.9 2.938780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1309 0.9 3.046111e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1310 0.9 3.018604e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1311 0.9 3.021239e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1312 0.9 2.985870e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1313 0.9 3.063071e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1314 0.9 2.988862e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1315 0.9 3.006474e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1316 0.9 3.008298e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1317 0.9 2.989042e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1318 0.9 3.040448e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1319 0.9 3.040407e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1320 0.9 3.103492e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1321 0.9 2.969628e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1322 0.9 3.055332e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1323 0.9 3.045196e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1324 0.9 2.996484e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1325 0.9 2.993553e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1326 0.9 3.012935e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1327 0.9 3.056620e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1328 0.9 3.047757e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1329 0.9 3.031476e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1330 0.9 3.051305e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1331 0.9 3.053380e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1332 0.9 3.069468e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1333 0.9 3.084122e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1334 0.9 3.083803e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1335 0.9 3.047498e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1336 0.9 3.061795e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1337 0.9 3.076031e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1338 0.9 3.090760e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1339 0.9 3.054958e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1340 0.9 3.048189e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1341 0.9 3.062814e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1342 0.9 3.060765e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1343 0.9 3.022789e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1344 0.9 3.008354e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1345 0.9 3.033976e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1346 0.9 3.012769e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1347 0.9 3.063364e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1348 0.9 3.064254e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1349 0.9 3.085088e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1350 0.9 3.048403e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1351 0.9 3.033959e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1352 0.9 3.033959e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1353 0.9 3.563815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1354 0.9 3.563815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1355 0.9 8.813944e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1356 0.9 7.458056e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1357 0.9 6.578202e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1358 0.9 4.954933e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1359 0.9 3.998381e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1360 0.9 3.026068e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1361 0.9 2.893716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1362 0.9 2.759442e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1363 0.9 2.820050e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1364 0.9 2.825340e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1365 0.9 2.804816e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1366 0.9 2.775220e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1367 0.9 2.777853e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1368 0.9 2.769575e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1369 0.9 2.799717e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1370 0.9 2.781858e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1371 0.9 2.791439e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1372 0.9 2.775946e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1373 0.9 2.821314e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1374 0.9 2.799966e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1375 0.9 2.769535e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1376 0.9 2.785784e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1377 0.9 2.770074e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1378 0.9 2.815568e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1379 0.9 2.788558e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1380 0.9 2.802703e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1381 0.9 2.813841e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1382 0.9 2.786251e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1383 0.9 2.787853e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1384 0.9 2.798125e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1385 0.9 2.833667e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1386 0.9 2.801743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1387 0.9 2.786122e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1388 0.9 2.775820e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1389 0.9 2.803967e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1390 0.9 2.784780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1391 0.9 2.759868e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1392 0.9 2.796277e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1393 0.9 2.807383e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1394 0.9 2.815784e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1395 0.9 2.800192e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1396 0.9 2.832624e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1397 0.9 2.805652e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1398 0.9 2.810942e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1399 0.9 2.807766e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1400 0.9 2.813757e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1401 0.9 2.789776e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1402 0.9 2.757249e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1403 0.9 2.815419e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1404 0.9 2.818180e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1405 0.9 2.818180e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1406 0.9 2.770762e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1407 0.9 2.747641e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1408 0.9 2.749349e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1409 0.9 2.799536e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1410 0.9 2.798055e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1411 0.9 2.782265e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1412 0.9 2.795898e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1413 0.9 2.769872e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1414 0.9 2.764729e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1415 0.9 2.747560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1416 0.9 2.781456e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1417 0.9 2.787984e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1418 0.9 2.796092e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1419 0.9 2.809296e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1420 0.9 2.815459e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1421 0.9 2.773731e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1422 0.9 2.781294e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1423 0.9 2.811662e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1424 0.9 2.836556e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1425 0.9 2.807027e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1426 0.9 2.800570e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1427 0.9 2.806439e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1428 0.9 2.771411e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1429 0.9 2.777905e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1430 0.9 2.779986e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1431 0.9 2.788140e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1432 0.9 2.801471e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1433 0.9 2.783078e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1434 0.9 2.803687e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1435 0.9 2.788680e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1436 0.9 2.784913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1437 0.9 2.796101e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1438 0.9 2.770201e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1439 0.9 2.782684e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1440 0.9 2.789139e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1441 0.9 2.799217e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1442 0.9 2.798243e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1443 0.9 2.808815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1444 0.9 2.784271e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1445 0.9 2.826642e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1446 0.9 2.805892e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1447 0.9 2.811063e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1448 0.9 2.805131e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1449 0.9 2.795112e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1450 0.9 2.813210e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1451 0.9 2.820669e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1452 0.9 2.813413e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1453 0.9 2.821006e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1454 0.9 2.832158e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1455 0.9 2.828440e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1456 0.9 2.828440e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1457 0.9 1.414554e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1458 0.9 1.414554e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1459 0.9 1.576254e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1460 0.9 1.807388e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1461 0.9 2.370206e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1462 0.9 2.265327e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1463 0.9 3.898128e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1464 0.9 6.828610e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1465 0.9 9.775815e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1466 0.9 6.499221e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1467 0.9 1.095994e+01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1468 0.9 4.054159e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1469 0.9 1.496112e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1470 0.9 1.096789e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1471 0.9 8.678005e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1472 0.9 7.637543e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1473 0.9 6.638220e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1474 0.9 4.750491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1475 0.9 3.808596e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1476 0.9 3.245144e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1477 0.9 2.889461e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1478 0.9 2.843927e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1479 0.9 2.875555e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1480 0.9 2.856157e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1481 0.9 2.843305e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1482 0.9 2.855819e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1483 0.9 2.874809e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1484 0.9 2.820599e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1485 0.9 2.813104e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1486 0.9 2.811790e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1487 0.9 2.800374e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1488 0.9 2.788696e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1489 0.9 2.779339e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1490 0.9 2.847484e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1491 0.9 2.843119e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1492 0.9 2.820836e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1493 0.9 2.829451e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1494 0.9 2.851323e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1495 0.9 2.823726e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1496 0.9 2.823097e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1497 0.9 2.825413e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1498 0.9 2.809151e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1499 0.9 2.822716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1500 0.9 2.780595e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1501 0.9 2.827210e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1502 0.9 2.831394e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1503 0.9 2.848707e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1504 0.9 2.828263e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1505 0.9 2.830725e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1506 0.9 2.846387e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1507 0.9 2.820072e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1508 0.9 2.831326e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1509 0.9 2.831326e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1510 0.9 2.739191e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1511 0.9 2.806778e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1512 0.9 2.769207e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1513 0.9 2.769960e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1514 0.9 2.794512e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1515 0.9 2.773636e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1516 0.9 2.809089e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1517 0.9 2.814509e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1518 0.9 2.825871e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1519 0.9 2.822793e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1520 0.9 2.832312e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1521 0.9 2.819113e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1522 0.9 2.814802e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1523 0.9 2.807866e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1524 0.9 2.832297e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1525 0.9 2.800804e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1526 0.9 2.801856e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1527 0.9 2.822697e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1528 0.9 2.824395e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1529 0.9 2.811650e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1530 0.9 2.831057e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1531 0.9 2.795745e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1532 0.9 2.775485e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1533 0.9 2.820727e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1534 0.9 2.770127e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1535 0.9 2.783185e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1536 0.9 2.798325e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1537 0.9 2.796172e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1538 0.9 2.805534e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1539 0.9 2.773838e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1540 0.9 2.785518e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1541 0.9 2.821322e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1542 0.9 2.844644e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1543 0.9 2.810668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1544 0.9 2.795021e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1545 0.9 2.796719e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1546 0.9 2.782576e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1547 0.9 2.794142e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1548 0.9 2.825466e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1549 0.9 2.813262e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1550 0.9 2.802425e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1551 0.9 2.811315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1552 0.9 2.806678e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1553 0.9 2.771607e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1554 0.9 2.782472e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1555 0.9 2.812448e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1556 0.9 2.820098e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1557 0.9 2.797592e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1558 0.9 2.795590e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1559 0.9 2.810091e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1560 0.9 2.810091e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1561 0.9 3.028157e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1562 0.9 3.028157e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1563 0.9 8.201266e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1564 0.9 7.022202e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1565 0.9 8.062102e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1566 0.9 6.836900e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1567 0.9 6.158995e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1568 0.9 5.145929e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1569 0.9 4.629390e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1570 0.9 3.458405e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1571 0.9 2.996167e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1572 0.9 2.965402e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1573 0.9 2.848290e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1574 0.9 2.870306e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1575 0.9 2.843869e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1576 0.9 2.797374e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1577 0.9 2.825402e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1578 0.9 2.793083e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1579 0.9 2.822840e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1580 0.9 2.808513e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1581 0.9 2.837981e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1582 0.9 2.827589e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1583 0.9 2.807214e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1584 0.9 2.819968e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1585 0.9 2.833780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1586 0.9 2.847805e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1587 0.9 2.863598e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1588 0.9 2.827004e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1589 0.9 2.840180e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1590 0.9 2.860158e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1591 0.9 2.818043e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1592 0.9 2.803224e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1593 0.9 2.855584e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1594 0.9 2.835349e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1595 0.9 2.848869e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1596 0.9 2.818410e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1597 0.9 2.825011e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1598 0.9 2.821861e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1599 0.9 2.822918e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1600 0.9 2.814229e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1601 0.9 2.787407e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1602 0.9 2.794788e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1603 0.9 2.803861e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1604 0.9 2.860631e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1605 0.9 2.831382e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1606 0.9 2.826701e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1607 0.9 2.816125e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1608 0.9 2.848326e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1609 0.9 2.865072e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1610 0.9 2.825595e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1611 0.9 2.847596e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1612 0.9 2.852305e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1613 0.9 2.852305e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1614 0.9 2.758334e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1615 0.9 2.766954e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1616 0.9 2.799983e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1617 0.9 2.756896e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1618 0.9 2.760533e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1619 0.9 2.768155e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1620 0.9 2.810709e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1621 0.9 2.827428e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1622 0.9 2.755866e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1623 0.9 2.736815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1624 0.9 2.805559e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1625 0.9 2.760311e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1626 0.9 2.790519e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1627 0.9 2.797727e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1628 0.9 2.762983e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1629 0.9 2.756527e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1630 0.9 2.818892e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1631 0.9 2.824080e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1632 0.9 2.792028e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1633 0.9 2.767174e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1634 0.9 2.808903e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1635 0.9 2.769235e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1636 0.9 2.763027e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1637 0.9 2.796462e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1638 0.9 2.793056e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1639 0.9 2.801230e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1640 0.9 2.827474e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1641 0.9 2.779750e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1642 0.9 2.828778e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1643 0.9 2.829769e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1644 0.9 2.820784e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1645 0.9 2.787565e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1646 0.9 2.793196e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1647 0.9 2.803697e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1648 0.9 2.797695e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1649 0.9 2.810360e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1650 0.9 2.832022e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1651 0.9 2.809811e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1652 0.9 2.776820e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1653 0.9 2.780684e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1654 0.9 2.830639e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1655 0.9 2.836374e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1656 0.9 2.826521e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1657 0.9 2.819145e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1658 0.9 2.808059e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1659 0.9 2.810134e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1660 0.9 2.813052e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1661 0.9 2.806472e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1662 0.9 2.811164e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1663 0.9 2.821852e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1664 0.9 2.821852e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1665 0.9 7.689240e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1666 0.9 7.689240e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1667 0.9 5.168980e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1668 0.9 4.716563e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1669 0.9 4.398672e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1670 0.9 3.615933e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1671 0.9 3.119809e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1672 0.9 2.862667e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1673 0.9 2.838736e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1674 0.9 2.880185e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1675 0.9 2.844509e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1676 0.9 2.870363e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1677 0.9 2.804869e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1678 0.9 2.782211e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1679 0.9 2.867342e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1680 0.9 2.863722e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1681 0.9 2.840662e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1682 0.9 2.872815e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1683 0.9 2.908482e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1684 0.9 2.842016e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1685 0.9 2.835778e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1686 0.9 2.844233e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1687 0.9 2.850333e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1688 0.9 2.817825e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1689 0.9 2.792926e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1690 0.9 2.829734e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1691 0.9 2.846128e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1692 0.9 2.822287e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1693 0.9 2.831077e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1694 0.9 2.834470e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1695 0.9 2.856799e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1696 0.9 2.826883e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1697 0.9 2.837116e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1698 0.9 2.860538e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1699 0.9 2.836057e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1700 0.9 2.861873e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1701 0.9 2.879821e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1702 0.9 2.838963e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1703 0.9 2.840325e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1704 0.9 2.841811e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1705 0.9 2.830685e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1706 0.9 2.865865e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1707 0.9 2.830670e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1708 0.9 2.847611e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1709 0.9 2.841736e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1710 0.9 2.858421e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1711 0.9 2.882263e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1712 0.9 2.870316e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1713 0.9 2.869300e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1714 0.9 2.874938e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1715 0.9 2.851578e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1716 0.9 2.861315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1717 0.9 2.861315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1718 0.9 2.776280e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1719 0.9 2.811981e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1720 0.9 2.788782e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1721 0.9 2.804169e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1722 0.9 2.800459e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1723 0.9 2.823902e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1724 0.9 2.828323e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1725 0.9 2.805738e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1726 0.9 2.792987e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1727 0.9 2.803996e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1728 0.9 2.823226e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1729 0.9 2.835662e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1730 0.9 2.866238e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1731 0.9 2.814188e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1732 0.9 2.779690e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1733 0.9 2.808365e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1734 0.9 2.800342e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1735 0.9 2.802786e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1736 0.9 2.835176e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1737 0.9 2.867066e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1738 0.9 2.820210e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1739 0.9 2.806084e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1740 0.9 2.832547e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1741 0.9 2.845072e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1742 0.9 2.839319e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1743 0.9 2.794910e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1744 0.9 2.805742e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1745 0.9 2.818844e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1746 0.9 2.840392e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1747 0.9 2.837995e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1748 0.9 2.829918e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1749 0.9 2.820813e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1750 0.9 2.846935e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1751 0.9 2.797743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1752 0.9 2.807338e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1753 0.9 2.831713e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1754 0.9 2.876766e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1755 0.9 2.874568e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1756 0.9 2.857716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1757 0.9 2.830067e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1758 0.9 2.828809e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1759 0.9 2.822020e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1760 0.9 2.838101e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1761 0.9 2.838839e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1762 0.9 2.810658e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1763 0.9 2.810955e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1764 0.9 2.806894e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1765 0.9 2.792108e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1766 0.9 2.813328e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1767 0.9 2.834634e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1768 0.9 2.834634e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1769 0.9 1.303586e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1770 0.9 1.303586e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1771 0.9 1.503152e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1772 0.9 2.093840e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1773 0.9 3.026303e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1774 0.9 4.682088e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1775 0.9 2.810590e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1776 0.9 3.771694e+01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1777 0.9 5.352144e+01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1778 0.9 3.918749e+01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1779 0.9 1.868770e+01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1780 0.9 5.401720e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1781 0.9 2.069945e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1782 0.9 1.104833e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1783 0.9 6.948913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1784 0.9 8.493156e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1785 0.9 6.633586e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1786 0.9 4.816343e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1787 0.9 3.744565e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1788 0.9 3.454853e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1789 0.9 3.349321e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1790 0.9 3.261199e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1791 0.9 3.072104e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1792 0.9 3.067620e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1793 0.9 3.103966e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1794 0.9 3.049543e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1795 0.9 3.076683e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1796 0.9 3.003613e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1797 0.9 3.050766e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1798 0.9 3.062104e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1799 0.9 3.014597e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1800 0.9 2.955037e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1801 0.9 2.925234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1802 0.9 2.998059e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1803 0.9 2.957245e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1804 0.9 2.943524e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1805 0.9 2.961164e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1806 0.9 2.993132e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1807 0.9 2.964921e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1808 0.9 2.945340e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1809 0.9 2.983497e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1810 0.9 2.982027e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1811 0.9 2.998156e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1812 0.9 2.971597e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1813 0.9 2.987543e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1814 0.9 2.950740e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1815 0.9 2.961471e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1816 0.9 2.967212e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1817 0.9 2.973751e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1818 0.9 2.957373e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1819 0.9 2.994317e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1820 0.9 3.002870e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1821 0.9 3.002870e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1822 0.9 2.886837e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1823 0.9 2.901652e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1824 0.9 2.917571e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1825 0.9 2.968177e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1826 0.9 2.955240e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1827 0.9 2.946710e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1828 0.9 2.923103e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1829 0.9 2.902332e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1830 0.9 2.992410e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1831 0.9 2.865556e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1832 0.9 2.921172e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1833 0.9 2.930704e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1834 0.9 2.973428e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1835 0.9 2.992836e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1836 0.9 2.944367e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1837 0.9 2.927369e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1838 0.9 2.953929e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1839 0.9 3.001069e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1840 0.9 2.969398e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1841 0.9 2.935033e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1842 0.9 2.942151e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1843 0.9 2.914340e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1844 0.9 2.910812e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1845 0.9 2.971513e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1846 0.9 2.935306e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1847 0.9 2.988117e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1848 0.9 2.975967e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1849 0.9 2.938910e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1850 0.9 2.919950e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1851 0.9 2.950110e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1852 0.9 2.959250e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1853 0.9 2.975082e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1854 0.9 2.973812e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1855 0.9 2.938552e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1856 0.9 2.916940e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1857 0.9 2.933659e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1858 0.9 2.932927e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1859 0.9 2.915212e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1860 0.9 2.917399e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1861 0.9 2.945106e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1862 0.9 2.937519e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1863 0.9 2.956728e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1864 0.9 2.957060e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1865 0.9 2.924589e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1866 0.9 2.930702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1867 0.9 2.965807e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1868 0.9 2.927757e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1869 0.9 2.976315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1870 0.9 2.957575e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1871 0.9 2.948755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1872 0.9 2.948755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1873 0.9 3.136048e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1874 0.9 3.136048e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1875 0.9 3.909074e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1876 0.9 3.602791e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1877 0.9 3.057627e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1878 0.9 2.869998e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1879 0.9 2.974511e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1880 0.9 2.914379e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1881 0.9 2.903804e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1882 0.9 2.941581e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1883 0.9 2.846651e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1884 0.9 2.864095e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1885 0.9 2.837950e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1886 0.9 2.847580e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1887 0.9 2.857702e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1888 0.9 2.836190e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1889 0.9 2.826153e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1890 0.9 2.793243e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1891 0.9 2.795657e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1892 0.9 2.864949e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1893 0.9 2.817505e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1894 0.9 2.807956e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1895 0.9 2.837513e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1896 0.9 2.820719e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1897 0.9 2.827972e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1898 0.9 2.831877e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1899 0.9 2.807521e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1900 0.9 2.789601e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1901 0.9 2.837620e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1902 0.9 2.828799e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1903 0.9 2.848689e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1904 0.9 2.855444e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1905 0.9 2.838933e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1906 0.9 2.851105e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1907 0.9 2.858052e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1908 0.9 2.860171e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1909 0.9 2.860664e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1910 0.9 2.869746e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1911 0.9 2.826560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1912 0.9 2.877257e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1913 0.9 2.853191e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1914 0.9 2.835321e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1915 0.9 2.837090e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1916 0.9 2.813645e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1917 0.9 2.857548e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1918 0.9 2.875525e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1919 0.9 2.872248e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1920 0.9 2.856634e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1921 0.9 2.861090e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1922 0.9 2.822143e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1923 0.9 2.830177e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1924 0.9 2.819376e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1925 0.9 2.819376e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1926 0.9 2.789318e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1927 0.9 2.784409e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1928 0.9 2.772594e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1929 0.9 2.826834e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1930 0.9 2.810818e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1931 0.9 2.778083e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1932 0.9 2.833703e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1933 0.9 2.810348e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1934 0.9 2.785956e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1935 0.9 2.786715e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1936 0.9 2.744983e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1937 0.9 2.783407e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1938 0.9 2.782230e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1939 0.9 2.772248e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1940 0.9 2.785650e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1941 0.9 2.772358e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1942 0.9 2.799853e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1943 0.9 2.800877e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1944 0.9 2.783622e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1945 0.9 2.807315e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1946 0.9 2.783728e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1947 0.9 2.808032e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1948 0.9 2.766268e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1949 0.9 2.764459e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1950 0.9 2.793329e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1951 0.9 2.807675e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1952 0.9 2.808344e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1953 0.9 2.809974e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1954 0.9 2.788620e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1955 0.9 2.787449e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1956 0.9 2.841760e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1957 0.9 2.802837e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1958 0.9 2.785844e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1959 0.9 2.826467e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1960 0.9 2.801094e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1961 0.9 2.797521e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1962 0.9 2.802421e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1963 0.9 2.776806e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1964 0.9 2.810820e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1965 0.9 2.807285e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1966 0.9 2.815071e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1967 0.9 2.805924e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1968 0.9 2.823988e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1969 0.9 2.833230e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1970 0.9 2.802117e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1971 0.9 2.807892e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1972 0.9 2.805428e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1973 0.9 2.803845e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1974 0.9 2.823784e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1975 0.9 2.830397e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1976 0.9 2.830397e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1977 0.9 3.863379e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1978 0.9 3.863379e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1979 0.9 3.284896e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1980 0.9 3.090125e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1981 0.9 2.882696e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1982 0.9 2.799507e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1983 0.9 2.801116e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1984 0.9 2.825636e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1985 0.9 2.817220e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1986 0.9 2.792518e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1987 0.9 2.852683e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1988 0.9 2.757431e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1989 0.9 2.783157e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1990 0.9 2.816136e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1991 0.9 2.798876e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1992 0.9 2.806479e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1993 0.9 2.807643e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1994 0.9 2.789768e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1995 0.9 2.799772e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1996 0.9 2.826302e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1997 0.9 2.826983e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1998 0.9 2.826131e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 1999 0.9 2.809422e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2000 0.9 2.824495e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2001 0.9 2.810963e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2002 0.9 2.806834e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2003 0.9 2.800001e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2004 0.9 2.816881e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2005 0.9 2.807583e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2006 0.9 2.792692e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2007 0.9 2.756441e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2008 0.9 2.807694e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2009 0.9 2.829381e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2010 0.9 2.828723e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2011 0.9 2.805932e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2012 0.9 2.818170e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2013 0.9 2.817838e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2014 0.9 2.833229e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2015 0.9 2.835872e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2016 0.9 2.850689e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2017 0.9 2.865793e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2018 0.9 2.857940e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2019 0.9 2.821870e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2020 0.9 2.840170e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2021 0.9 2.844932e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2022 0.9 2.826937e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2023 0.9 2.843622e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2024 0.9 2.857141e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2025 0.9 2.859201e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2026 0.9 2.836321e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2027 0.9 2.824865e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2028 0.9 2.824720e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2029 0.9 2.824720e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2030 0.9 2.774972e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2031 0.9 2.792133e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2032 0.9 2.775711e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2033 0.9 2.767924e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2034 0.9 2.763223e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2035 0.9 2.755154e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2036 0.9 2.810128e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2037 0.9 2.788906e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2038 0.9 2.791133e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2039 0.9 2.783560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2040 0.9 2.809726e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2041 0.9 2.785569e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2042 0.9 2.818563e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2043 0.9 2.774080e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2044 0.9 2.781941e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2045 0.9 2.753492e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2046 0.9 2.771690e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2047 0.9 2.759097e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2048 0.9 2.744730e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2049 0.9 2.801781e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2050 0.9 2.784112e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2051 0.9 2.787179e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2052 0.9 2.772938e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2053 0.9 2.786314e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2054 0.9 2.805348e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2055 0.9 2.789731e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2056 0.9 2.788144e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2057 0.9 2.795247e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2058 0.9 2.802031e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2059 0.9 2.796918e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2060 0.9 2.766762e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2061 0.9 2.740573e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2062 0.9 2.769278e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2063 0.9 2.768843e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2064 0.9 2.804434e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2065 0.9 2.791585e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2066 0.9 2.809719e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2067 0.9 2.815344e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2068 0.9 2.783150e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2069 0.9 2.806636e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2070 0.9 2.806684e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2071 0.9 2.829348e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2072 0.9 2.818632e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2073 0.9 2.801878e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2074 0.9 2.783292e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2075 0.9 2.792178e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2076 0.9 2.824097e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2077 0.9 2.812938e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2078 0.9 2.822668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2079 0.9 2.805472e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2080 0.9 2.805472e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2081 0.9 8.324047e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2082 0.9 8.324047e-02 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2083 0.9 5.513673e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2084 0.9 7.910309e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2085 0.9 7.791399e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2086 0.9 5.353658e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2087 0.9 4.168160e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2088 0.9 3.138243e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2089 0.9 2.953525e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2090 0.9 2.845156e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2091 0.9 2.823250e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2092 0.9 2.848195e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2093 0.9 2.819899e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2094 0.9 2.835169e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2095 0.9 2.837132e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2096 0.9 2.822578e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2097 0.9 2.783851e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2098 0.9 2.788556e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2099 0.9 2.783743e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2100 0.9 2.805386e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2101 0.9 2.842488e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2102 0.9 2.827684e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2103 0.9 2.801350e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2104 0.9 2.790037e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2105 0.9 2.781169e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2106 0.9 2.771349e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2107 0.9 2.782230e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2108 0.9 2.773679e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2109 0.9 2.792555e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2110 0.9 2.825602e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2111 0.9 2.840479e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2112 0.9 2.819630e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2113 0.9 2.823877e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2114 0.9 2.810317e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2115 0.9 2.823171e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2116 0.9 2.843476e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2117 0.9 2.797693e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2118 0.9 2.801730e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2119 0.9 2.788859e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2120 0.9 2.810286e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2121 0.9 2.805812e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2122 0.9 2.808830e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2123 0.9 2.808688e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2124 0.9 2.815516e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2125 0.9 2.823810e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2126 0.9 2.823521e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2127 0.9 2.799210e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2128 0.9 2.829582e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2129 0.9 2.815392e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2130 0.9 2.822377e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2131 0.9 2.817541e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2132 0.9 2.827891e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2133 0.9 2.827891e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2134 0.9 2.754183e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2135 0.9 2.786201e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2136 0.9 2.773733e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2137 0.9 2.816664e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2138 0.9 2.748829e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2139 0.9 2.819510e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2140 0.9 2.771589e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2141 0.9 2.790346e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2142 0.9 2.815302e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2143 0.9 2.809881e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2144 0.9 2.811585e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2145 0.9 2.804279e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2146 0.9 2.785215e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2147 0.9 2.790310e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2148 0.9 2.772045e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2149 0.9 2.781694e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2150 0.9 2.798875e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2151 0.9 2.808245e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2152 0.9 2.837488e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2153 0.9 2.804294e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2154 0.9 2.789843e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2155 0.9 2.799128e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2156 0.9 2.808347e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2157 0.9 2.786913e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2158 0.9 2.785902e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2159 0.9 2.810751e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2160 0.9 2.787679e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2161 0.9 2.798254e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2162 0.9 2.777729e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2163 0.9 2.793576e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2164 0.9 2.814731e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2165 0.9 2.798354e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2166 0.9 2.797398e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2167 0.9 2.793261e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2168 0.9 2.806066e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2169 0.9 2.809644e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2170 0.9 2.799776e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2171 0.9 2.800009e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2172 0.9 2.800190e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2173 0.9 2.826794e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2174 0.9 2.810721e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2175 0.9 2.802791e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2176 0.9 2.805866e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2177 0.9 2.800546e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2178 0.9 2.813379e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2179 0.9 2.814461e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2180 0.9 2.826100e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2181 0.9 2.844032e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2182 0.9 2.844450e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2183 0.9 2.814950e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2184 0.9 2.814950e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2185 0.9 3.938752e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2186 0.9 3.938752e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2187 0.9 3.527800e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2188 0.9 4.068052e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2189 0.9 3.861078e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2190 0.9 4.255960e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2191 0.9 3.920833e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2192 0.9 4.336874e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2193 0.9 4.119590e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2194 0.9 4.336648e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2195 0.9 4.092949e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2196 0.9 4.018835e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2197 0.9 3.796754e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2198 0.9 3.997648e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2199 0.9 4.106908e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2200 0.9 4.109805e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2201 0.9 3.508104e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2202 0.9 3.342447e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2203 0.9 3.286049e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2204 0.9 3.243307e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2205 0.9 3.133093e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2206 0.9 3.009808e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2207 0.9 2.930263e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2208 0.9 2.957965e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2209 0.9 2.965138e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2210 0.9 2.909580e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2211 0.9 2.874827e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2212 0.9 2.950548e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2213 0.9 2.937680e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2214 0.9 2.907877e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2215 0.9 2.975639e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2216 0.9 2.875613e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2217 0.9 2.858785e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2218 0.9 2.860982e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2219 0.9 2.839633e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2220 0.9 2.791283e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2221 0.9 2.928681e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2222 0.9 2.982796e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2223 0.9 2.896013e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2224 0.9 2.928427e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2225 0.9 2.952124e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2226 0.9 2.887223e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2227 0.9 2.934951e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2228 0.9 2.894460e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2229 0.9 2.889835e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2230 0.9 2.906425e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2231 0.9 2.883916e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2232 0.9 2.879281e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2233 0.9 2.871218e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2234 0.9 2.903233e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2235 0.9 2.882132e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2236 0.9 2.884615e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2237 0.9 2.884615e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2238 0.9 2.802749e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2239 0.9 2.842428e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2240 0.9 2.819870e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2241 0.9 2.835325e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2242 0.9 2.808288e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2243 0.9 2.834674e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2244 0.9 2.824029e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2245 0.9 2.825297e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2246 0.9 2.879276e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2247 0.9 2.845184e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2248 0.9 2.814989e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2249 0.9 2.841677e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2250 0.9 2.824666e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2251 0.9 2.824014e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2252 0.9 2.830555e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2253 0.9 2.894902e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2254 0.9 2.859638e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2255 0.9 2.818941e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2256 0.9 2.869923e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2257 0.9 2.844073e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2258 0.9 2.850904e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2259 0.9 2.824415e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2260 0.9 2.843321e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2261 0.9 2.852231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2262 0.9 2.838731e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2263 0.9 2.823556e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2264 0.9 2.831172e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2265 0.9 2.841747e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2266 0.9 2.906248e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2267 0.9 2.838794e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2268 0.9 2.838755e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2269 0.9 2.860751e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2270 0.9 2.845312e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2271 0.9 2.833028e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2272 0.9 2.856640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2273 0.9 2.832187e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2274 0.9 2.874811e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2275 0.9 2.845398e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2276 0.9 2.835562e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2277 0.9 2.857550e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2278 0.9 2.848039e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2279 0.9 2.852570e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2280 0.9 2.834407e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2281 0.9 2.847301e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2282 0.9 2.839816e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2283 0.9 2.848889e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2284 0.9 2.839135e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2285 0.9 2.825938e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2286 0.9 2.862848e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2287 0.9 2.861994e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2288 0.9 2.861994e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2289 0.9 3.880234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2290 0.9 3.880234e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2291 0.9 8.033203e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2292 0.9 4.947078e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2293 0.9 4.756201e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2294 0.9 3.494002e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2295 0.9 2.856751e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2296 0.9 2.861081e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2297 0.9 2.810929e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2298 0.9 2.839456e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2299 0.9 2.855886e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2300 0.9 2.851331e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2301 0.9 2.838053e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2302 0.9 2.845830e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2303 0.9 2.822687e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2304 0.9 2.825778e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2305 0.9 2.806614e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2306 0.9 2.878337e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2307 0.9 2.860587e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2308 0.9 2.872198e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2309 0.9 2.842809e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2310 0.9 2.860051e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2311 0.9 2.799340e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2312 0.9 2.871783e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2313 0.9 2.803658e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2314 0.9 2.822879e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2315 0.9 2.812231e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2316 0.9 2.818560e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2317 0.9 2.842769e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2318 0.9 2.845714e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2319 0.9 2.863318e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2320 0.9 2.830289e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2321 0.9 2.901191e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2322 0.9 2.860012e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2323 0.9 2.858731e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2324 0.9 2.845638e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2325 0.9 2.881738e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2326 0.9 2.866920e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2327 0.9 2.837675e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2328 0.9 2.836603e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2329 0.9 2.862346e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2330 0.9 2.865932e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2331 0.9 2.854305e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2332 0.9 2.852322e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2333 0.9 2.834285e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2334 0.9 2.848841e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2335 0.9 2.904120e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2336 0.9 2.845028e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2337 0.9 2.868097e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2338 0.9 2.875392e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2339 0.9 2.890049e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2340 0.9 2.866547e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2341 0.9 2.866547e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2342 0.9 2.785679e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2343 0.9 2.791351e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2344 0.9 2.800157e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2345 0.9 2.821897e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2346 0.9 2.827762e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2347 0.9 2.791425e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2348 0.9 2.826615e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2349 0.9 2.829184e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2350 0.9 2.762016e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2351 0.9 2.829915e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2352 0.9 2.811868e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2353 0.9 2.797400e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2354 0.9 2.803383e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2355 0.9 2.838808e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2356 0.9 2.765989e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2357 0.9 2.804829e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2358 0.9 2.812064e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2359 0.9 2.868325e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2360 0.9 2.838498e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2361 0.9 2.788295e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2362 0.9 2.828781e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2363 0.9 2.808361e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2364 0.9 2.844224e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2365 0.9 2.825511e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2366 0.9 2.793778e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2367 0.9 2.811642e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2368 0.9 2.785757e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2369 0.9 2.827926e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2370 0.9 2.801533e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2371 0.9 2.856775e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2372 0.9 2.848779e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2373 0.9 2.814089e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2374 0.9 2.789478e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2375 0.9 2.799276e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2376 0.9 2.831436e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2377 0.9 2.839514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2378 0.9 2.816386e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2379 0.9 2.803592e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2380 0.9 2.810317e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2381 0.9 2.835493e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2382 0.9 2.833661e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2383 0.9 2.847753e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2384 0.9 2.800503e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2385 0.9 2.804530e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2386 0.9 2.847011e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2387 0.9 2.857259e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2388 0.9 2.839934e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2389 0.9 2.853523e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2390 0.9 2.826491e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2391 0.9 2.840975e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2392 0.9 2.840975e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2393 0.9 4.319562e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2394 0.9 4.319562e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2395 0.9 1.047176e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2396 0.9 1.235628e+00 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2397 0.9 7.647670e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2398 0.9 6.116703e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2399 0.9 5.764942e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2400 0.9 5.870498e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2401 0.9 6.059292e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2402 0.9 5.796973e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2403 0.9 5.481367e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2404 0.9 5.798607e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2405 0.9 5.278015e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2406 0.9 5.082830e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2407 0.9 5.944086e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2408 0.9 5.455267e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2409 0.9 5.723380e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2410 0.9 6.225483e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2411 0.9 5.857273e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2412 0.9 5.134778e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2413 0.9 5.794538e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2414 0.9 5.556735e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2415 0.9 6.079922e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2416 0.9 6.354780e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2417 0.9 6.226379e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2418 0.9 5.457218e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2419 0.9 6.356116e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2420 0.9 6.324675e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2421 0.9 5.970896e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2422 0.9 5.503012e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2423 0.9 6.280330e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2424 0.9 6.208622e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2425 0.9 6.110410e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2426 0.9 5.626836e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2427 0.9 5.540974e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2428 0.9 5.487612e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2429 0.9 4.768144e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2430 0.9 5.191985e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2431 0.9 5.215785e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2432 0.9 5.498056e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2433 0.9 5.671675e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2434 0.9 5.611648e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2435 0.9 5.697060e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2436 0.9 5.365190e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2437 0.9 5.364297e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2438 0.9 5.585382e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2439 0.9 6.033190e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2440 0.9 5.922462e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2441 0.9 5.849383e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2442 0.9 5.883725e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2443 0.9 5.699640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2444 0.9 5.521640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2445 0.9 5.521640e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2446 0.9 5.585998e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2447 0.9 5.665288e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2448 0.9 5.992382e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2449 0.9 6.522404e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2450 0.9 5.787220e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2451 0.9 6.194652e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2452 0.9 5.800425e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2453 0.9 6.260436e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2454 0.9 5.591584e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2455 0.9 5.322920e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2456 0.9 5.593634e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2457 0.9 5.933907e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2458 0.9 5.902192e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2459 0.9 6.622241e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2460 0.9 5.918555e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2461 0.9 5.466419e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2462 0.9 5.458299e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2463 0.9 5.570301e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2464 0.9 5.172174e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2465 0.9 5.151340e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2466 0.9 4.862962e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2467 0.9 4.656909e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2468 0.9 4.869498e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2469 0.9 4.927017e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2470 0.9 4.868173e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2471 0.9 4.290265e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2472 0.9 3.913857e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2473 0.9 3.932249e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2474 0.9 3.842559e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2475 0.9 3.796503e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2476 0.9 3.706915e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2477 0.9 3.657407e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2478 0.9 3.522379e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2479 0.9 3.273033e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2480 0.9 3.218729e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2481 0.9 3.236761e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2482 0.9 3.137253e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2483 0.9 3.119326e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2484 0.9 3.085269e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2485 0.9 3.051471e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2486 0.9 3.070360e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2487 0.9 2.984321e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2488 0.9 3.047284e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2489 0.9 3.054958e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2490 0.9 3.049353e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2491 0.9 3.000317e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2492 0.9 3.095068e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2493 0.9 3.072848e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2494 0.9 3.095086e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2495 0.9 3.099956e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2496 0.9 3.099956e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2497 0.9 3.344847e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2498 0.9 3.344847e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2499 0.9 5.013198e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2500 0.9 4.106939e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2501 0.9 3.214745e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2502 0.9 2.946365e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2503 0.9 2.866405e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2504 0.9 2.801353e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2505 0.9 2.793200e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2506 0.9 2.807838e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2507 0.9 2.826514e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2508 0.9 2.802323e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2509 0.9 2.826786e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2510 0.9 2.839389e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2511 0.9 2.801266e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2512 0.9 2.834861e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2513 0.9 2.816616e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2514 0.9 2.868056e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2515 0.9 2.851130e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2516 0.9 2.854846e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2517 0.9 2.857796e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2518 0.9 2.837544e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2519 0.9 2.848214e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2520 0.9 2.855267e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2521 0.9 2.859440e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2522 0.9 2.858154e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2523 0.9 2.839575e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2524 0.9 2.859971e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2525 0.9 2.841716e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2526 0.9 2.840518e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2527 0.9 2.847984e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2528 0.9 2.843578e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2529 0.9 2.868201e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2530 0.9 2.837034e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2531 0.9 2.902365e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2532 0.9 2.904222e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2533 0.9 2.880397e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2534 0.9 2.856262e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2535 0.9 2.867733e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2536 0.9 2.854433e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2537 0.9 2.875103e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2538 0.9 2.858486e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2539 0.9 2.839172e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2540 0.9 2.845664e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2541 0.9 2.862542e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2542 0.9 2.838294e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2543 0.9 2.886333e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2544 0.9 2.889455e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2545 0.9 2.890660e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2546 0.9 2.909377e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2547 0.9 2.849771e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2548 0.9 2.857172e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2549 0.9 2.857172e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2550 0.9 2.798830e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2551 0.9 2.759892e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2552 0.9 2.785108e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2553 0.9 2.844749e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2554 0.9 2.816636e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2555 0.9 2.809982e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2556 0.9 2.787261e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2557 0.9 2.811732e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2558 0.9 2.791887e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2559 0.9 2.840146e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2560 0.9 2.844046e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2561 0.9 2.835646e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2562 0.9 2.840027e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2563 0.9 2.843633e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2564 0.9 2.838979e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2565 0.9 2.827461e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2566 0.9 2.820979e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2567 0.9 2.847274e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2568 0.9 2.829355e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2569 0.9 2.832928e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2570 0.9 2.788184e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2571 0.9 2.818593e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2572 0.9 2.803544e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2573 0.9 2.809310e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2574 0.9 2.868320e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2575 0.9 2.883835e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2576 0.9 2.819517e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2577 0.9 2.820784e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2578 0.9 2.850591e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2579 0.9 2.824908e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2580 0.9 2.831313e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2581 0.9 2.819223e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2582 0.9 2.860126e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2583 0.9 2.824668e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2584 0.9 2.821206e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2585 0.9 2.843475e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2586 0.9 2.848572e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2587 0.9 2.816576e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2588 0.9 2.820651e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2589 0.9 2.802337e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2590 0.9 2.842267e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2591 0.9 2.864442e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2592 0.9 2.864720e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2593 0.9 2.831914e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2594 0.9 2.857119e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2595 0.9 2.877446e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2596 0.9 2.852471e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2597 0.9 2.843783e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2598 0.9 2.868168e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2599 0.9 2.854871e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2600 0.9 2.854871e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2601 0.9 2.897686e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2602 0.9 2.897686e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2603 0.9 3.023807e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2604 0.9 3.075820e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2605 0.9 2.906585e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2606 0.9 2.847155e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2607 0.9 2.801135e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2608 0.9 2.815799e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2609 0.9 2.827475e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2610 0.9 2.825838e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2611 0.9 2.869160e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2612 0.9 2.835429e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2613 0.9 2.838190e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2614 0.9 2.871936e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2615 0.9 2.861713e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2616 0.9 2.808634e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2617 0.9 2.797368e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2618 0.9 2.838934e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2619 0.9 2.840595e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2620 0.9 2.840526e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2621 0.9 2.881111e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2622 0.9 2.898212e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2623 0.9 2.878028e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2624 0.9 2.838849e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2625 0.9 2.862382e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2626 0.9 2.831462e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2627 0.9 2.852314e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2628 0.9 2.845296e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2629 0.9 2.845775e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2630 0.9 2.846828e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2631 0.9 2.847446e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2632 0.9 2.867302e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2633 0.9 2.811842e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2634 0.9 2.831373e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2635 0.9 2.846301e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2636 0.9 2.874779e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2637 0.9 2.861434e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2638 0.9 2.860145e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2639 0.9 2.874465e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2640 0.9 2.876286e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2641 0.9 2.855242e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2642 0.9 2.867550e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2643 0.9 2.877547e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2644 0.9 2.863827e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2645 0.9 2.837020e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2646 0.9 2.858922e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2647 0.9 2.875589e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2648 0.9 2.841323e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2649 0.9 2.887012e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2650 0.9 2.876928e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2651 0.9 2.878235e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2652 0.9 2.891031e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2653 0.9 2.891031e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2654 0.9 2.821266e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2655 0.9 2.836825e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2656 0.9 2.805305e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2657 0.9 2.814216e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2658 0.9 2.800344e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2659 0.9 2.827201e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2660 0.9 2.861571e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2661 0.9 2.780387e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2662 0.9 2.801502e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2663 0.9 2.832939e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2664 0.9 2.838825e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2665 0.9 2.828795e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2666 0.9 2.809811e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2667 0.9 2.814170e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2668 0.9 2.835242e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2669 0.9 2.838714e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2670 0.9 2.815891e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2671 0.9 2.829030e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2672 0.9 2.832400e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2673 0.9 2.817493e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2674 0.9 2.826049e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2675 0.9 2.854232e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2676 0.9 2.863114e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2677 0.9 2.861774e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2678 0.9 2.842715e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2679 0.9 2.856084e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2680 0.9 2.845217e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2681 0.9 2.833725e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2682 0.9 2.858108e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2683 0.9 2.819749e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2684 0.9 2.818529e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2685 0.9 2.829895e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2686 0.9 2.835243e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2687 0.9 2.822389e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2688 0.9 2.847075e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2689 0.9 2.883226e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2690 0.9 2.881216e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2691 0.9 2.886417e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2692 0.9 2.859561e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2693 0.9 2.884446e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2694 0.9 2.842841e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2695 0.9 2.866307e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2696 0.9 2.876449e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2697 0.9 2.861023e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2698 0.9 2.849539e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2699 0.9 2.850240e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2700 0.9 2.856118e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2701 0.9 2.864616e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## 2702 0.9 2.849272e-01 0.01215073 0.9810086 -37.23481 229.4094 1183.3
## g_F sigma_epsilon G_w_y_scaling msg iter_num
## 1 0.1162005 109.1121 0.162 start 3
## 2 0.1162005 109.1121 0.162 first_trace 3
## 3 0.1162005 109.1121 0.162 first_trace 3
## 4 0.1162005 109.1121 0.162 first_trace 3
## 5 0.1162005 109.1121 0.162 first_trace 3
## 6 0.1162005 109.1121 0.162 first_trace 3
## 7 0.1162005 109.1121 0.162 first_trace 3
## 8 0.1162005 109.1121 0.162 first_trace 3
## 9 0.1162005 109.1121 0.162 first_trace 3
## 10 0.1162005 109.1121 0.162 first_trace 3
## 11 0.1162005 109.1121 0.162 first_trace 3
## 12 0.1162005 109.1121 0.162 first_trace 3
## 13 0.1162005 109.1121 0.162 first_trace 3
## 14 0.1162005 109.1121 0.162 first_trace 3
## 15 0.1162005 109.1121 0.162 first_trace 3
## 16 0.1162005 109.1121 0.162 first_trace 3
## 17 0.1162005 109.1121 0.162 first_trace 3
## 18 0.1162005 109.1121 0.162 first_trace 3
## 19 0.1162005 109.1121 0.162 first_trace 3
## 20 0.1162005 109.1121 0.162 first_trace 3
## 21 0.1162005 109.1121 0.162 first_trace 3
## 22 0.1162005 109.1121 0.162 first_trace 3
## 23 0.1162005 109.1121 0.162 first_trace 3
## 24 0.1162005 109.1121 0.162 first_trace 3
## 25 0.1162005 109.1121 0.162 first_trace 3
## 26 0.1162005 109.1121 0.162 first_trace 3
## 27 0.1162005 109.1121 0.162 first_trace 3
## 28 0.1162005 109.1121 0.162 first_trace 3
## 29 0.1162005 109.1121 0.162 first_trace 3
## 30 0.1162005 109.1121 0.162 first_trace 3
## 31 0.1162005 109.1121 0.162 first_trace 3
## 32 0.1162005 109.1121 0.162 first_trace 3
## 33 0.1162005 109.1121 0.162 first_trace 3
## 34 0.1162005 109.1121 0.162 first_trace 3
## 35 0.1162005 109.1121 0.162 first_trace 3
## 36 0.1162005 109.1121 0.162 first_trace 3
## 37 0.1162005 109.1121 0.162 first_trace 3
## 38 0.1162005 109.1121 0.162 first_trace 3
## 39 0.1162005 109.1121 0.162 first_trace 3
## 40 0.1162005 109.1121 0.162 first_trace 3
## 41 0.1162005 109.1121 0.162 first_trace 3
## 42 0.1162005 109.1121 0.162 first_trace 3
## 43 0.1162005 109.1121 0.162 first_trace 3
## 44 0.1162005 109.1121 0.162 first_trace 3
## 45 0.1162005 109.1121 0.162 first_trace 3
## 46 0.1162005 109.1121 0.162 first_trace 3
## 47 0.1162005 109.1121 0.162 first_trace 3
## 48 0.1162005 109.1121 0.162 first_trace 3
## 49 0.1162005 109.1121 0.162 first_trace 3
## 50 0.1162005 109.1121 0.162 first_trace 3
## 51 0.1162005 109.1121 0.162 first_trace 3
## 52 0.1162005 109.1121 0.162 first_trace 3
## 53 0.1162005 109.1121 0.162 second_trace 3
## 54 0.1162005 109.1121 0.162 second_trace 3
## 55 0.1162005 109.1121 0.162 second_trace 3
## 56 0.1162005 109.1121 0.162 second_trace 3
## 57 0.1162005 109.1121 0.162 second_trace 3
## 58 0.1162005 109.1121 0.162 second_trace 3
## 59 0.1162005 109.1121 0.162 second_trace 3
## 60 0.1162005 109.1121 0.162 second_trace 3
## 61 0.1162005 109.1121 0.162 second_trace 3
## 62 0.1162005 109.1121 0.162 second_trace 3
## 63 0.1162005 109.1121 0.162 second_trace 3
## 64 0.1162005 109.1121 0.162 second_trace 3
## 65 0.1162005 109.1121 0.162 second_trace 3
## 66 0.1162005 109.1121 0.162 second_trace 3
## 67 0.1162005 109.1121 0.162 second_trace 3
## 68 0.1162005 109.1121 0.162 second_trace 3
## 69 0.1162005 109.1121 0.162 second_trace 3
## 70 0.1162005 109.1121 0.162 second_trace 3
## 71 0.1162005 109.1121 0.162 second_trace 3
## 72 0.1162005 109.1121 0.162 second_trace 3
## 73 0.1162005 109.1121 0.162 second_trace 3
## 74 0.1162005 109.1121 0.162 second_trace 3
## 75 0.1162005 109.1121 0.162 second_trace 3
## 76 0.1162005 109.1121 0.162 second_trace 3
## 77 0.1162005 109.1121 0.162 second_trace 3
## 78 0.1162005 109.1121 0.162 second_trace 3
## 79 0.1162005 109.1121 0.162 second_trace 3
## 80 0.1162005 109.1121 0.162 second_trace 3
## 81 0.1162005 109.1121 0.162 second_trace 3
## 82 0.1162005 109.1121 0.162 second_trace 3
## 83 0.1162005 109.1121 0.162 second_trace 3
## 84 0.1162005 109.1121 0.162 second_trace 3
## 85 0.1162005 109.1121 0.162 second_trace 3
## 86 0.1162005 109.1121 0.162 second_trace 3
## 87 0.1162005 109.1121 0.162 second_trace 3
## 88 0.1162005 109.1121 0.162 second_trace 3
## 89 0.1162005 109.1121 0.162 second_trace 3
## 90 0.1162005 109.1121 0.162 second_trace 3
## 91 0.1162005 109.1121 0.162 second_trace 3
## 92 0.1162005 109.1121 0.162 second_trace 3
## 93 0.1162005 109.1121 0.162 second_trace 3
## 94 0.1162005 109.1121 0.162 second_trace 3
## 95 0.1162005 109.1121 0.162 second_trace 3
## 96 0.1162005 109.1121 0.162 second_trace 3
## 97 0.1162005 109.1121 0.162 second_trace 3
## 98 0.1162005 109.1121 0.162 second_trace 3
## 99 0.1162005 109.1121 0.162 second_trace 3
## 100 0.1162005 109.1121 0.162 second_trace 3
## 101 0.1162005 109.1121 0.162 second_trace 3
## 102 0.1162005 109.1121 0.162 second_trace 3
## 103 0.1162005 109.1121 0.162 second_trace 3
## 104 0.1162005 109.1121 0.162 mif1 3
## 105 0.1162005 109.1121 0.162 start 3
## 106 0.1162005 109.1121 0.162 first_trace 3
## 107 0.1162005 109.1121 0.162 first_trace 3
## 108 0.1162005 109.1121 0.162 first_trace 3
## 109 0.1162005 109.1121 0.162 first_trace 3
## 110 0.1162005 109.1121 0.162 first_trace 3
## 111 0.1162005 109.1121 0.162 first_trace 3
## 112 0.1162005 109.1121 0.162 first_trace 3
## 113 0.1162005 109.1121 0.162 first_trace 3
## 114 0.1162005 109.1121 0.162 first_trace 3
## 115 0.1162005 109.1121 0.162 first_trace 3
## 116 0.1162005 109.1121 0.162 first_trace 3
## 117 0.1162005 109.1121 0.162 first_trace 3
## 118 0.1162005 109.1121 0.162 first_trace 3
## 119 0.1162005 109.1121 0.162 first_trace 3
## 120 0.1162005 109.1121 0.162 first_trace 3
## 121 0.1162005 109.1121 0.162 first_trace 3
## 122 0.1162005 109.1121 0.162 first_trace 3
## 123 0.1162005 109.1121 0.162 first_trace 3
## 124 0.1162005 109.1121 0.162 first_trace 3
## 125 0.1162005 109.1121 0.162 first_trace 3
## 126 0.1162005 109.1121 0.162 first_trace 3
## 127 0.1162005 109.1121 0.162 first_trace 3
## 128 0.1162005 109.1121 0.162 first_trace 3
## 129 0.1162005 109.1121 0.162 first_trace 3
## 130 0.1162005 109.1121 0.162 first_trace 3
## 131 0.1162005 109.1121 0.162 first_trace 3
## 132 0.1162005 109.1121 0.162 first_trace 3
## 133 0.1162005 109.1121 0.162 first_trace 3
## 134 0.1162005 109.1121 0.162 first_trace 3
## 135 0.1162005 109.1121 0.162 first_trace 3
## 136 0.1162005 109.1121 0.162 first_trace 3
## 137 0.1162005 109.1121 0.162 first_trace 3
## 138 0.1162005 109.1121 0.162 first_trace 3
## 139 0.1162005 109.1121 0.162 first_trace 3
## 140 0.1162005 109.1121 0.162 first_trace 3
## 141 0.1162005 109.1121 0.162 first_trace 3
## 142 0.1162005 109.1121 0.162 first_trace 3
## 143 0.1162005 109.1121 0.162 first_trace 3
## 144 0.1162005 109.1121 0.162 first_trace 3
## 145 0.1162005 109.1121 0.162 first_trace 3
## 146 0.1162005 109.1121 0.162 first_trace 3
## 147 0.1162005 109.1121 0.162 first_trace 3
## 148 0.1162005 109.1121 0.162 first_trace 3
## 149 0.1162005 109.1121 0.162 first_trace 3
## 150 0.1162005 109.1121 0.162 first_trace 3
## 151 0.1162005 109.1121 0.162 first_trace 3
## 152 0.1162005 109.1121 0.162 first_trace 3
## 153 0.1162005 109.1121 0.162 first_trace 3
## 154 0.1162005 109.1121 0.162 first_trace 3
## 155 0.1162005 109.1121 0.162 first_trace 3
## 156 0.1162005 109.1121 0.162 first_trace 3
## 157 0.1162005 109.1121 0.162 second_trace 3
## 158 0.1162005 109.1121 0.162 second_trace 3
## 159 0.1162005 109.1121 0.162 second_trace 3
## 160 0.1162005 109.1121 0.162 second_trace 3
## 161 0.1162005 109.1121 0.162 second_trace 3
## 162 0.1162005 109.1121 0.162 second_trace 3
## 163 0.1162005 109.1121 0.162 second_trace 3
## 164 0.1162005 109.1121 0.162 second_trace 3
## 165 0.1162005 109.1121 0.162 second_trace 3
## 166 0.1162005 109.1121 0.162 second_trace 3
## 167 0.1162005 109.1121 0.162 second_trace 3
## 168 0.1162005 109.1121 0.162 second_trace 3
## 169 0.1162005 109.1121 0.162 second_trace 3
## 170 0.1162005 109.1121 0.162 second_trace 3
## 171 0.1162005 109.1121 0.162 second_trace 3
## 172 0.1162005 109.1121 0.162 second_trace 3
## 173 0.1162005 109.1121 0.162 second_trace 3
## 174 0.1162005 109.1121 0.162 second_trace 3
## 175 0.1162005 109.1121 0.162 second_trace 3
## 176 0.1162005 109.1121 0.162 second_trace 3
## 177 0.1162005 109.1121 0.162 second_trace 3
## 178 0.1162005 109.1121 0.162 second_trace 3
## 179 0.1162005 109.1121 0.162 second_trace 3
## 180 0.1162005 109.1121 0.162 second_trace 3
## 181 0.1162005 109.1121 0.162 second_trace 3
## 182 0.1162005 109.1121 0.162 second_trace 3
## 183 0.1162005 109.1121 0.162 second_trace 3
## 184 0.1162005 109.1121 0.162 second_trace 3
## 185 0.1162005 109.1121 0.162 second_trace 3
## 186 0.1162005 109.1121 0.162 second_trace 3
## 187 0.1162005 109.1121 0.162 second_trace 3
## 188 0.1162005 109.1121 0.162 second_trace 3
## 189 0.1162005 109.1121 0.162 second_trace 3
## 190 0.1162005 109.1121 0.162 second_trace 3
## 191 0.1162005 109.1121 0.162 second_trace 3
## 192 0.1162005 109.1121 0.162 second_trace 3
## 193 0.1162005 109.1121 0.162 second_trace 3
## 194 0.1162005 109.1121 0.162 second_trace 3
## 195 0.1162005 109.1121 0.162 second_trace 3
## 196 0.1162005 109.1121 0.162 second_trace 3
## 197 0.1162005 109.1121 0.162 second_trace 3
## 198 0.1162005 109.1121 0.162 second_trace 3
## 199 0.1162005 109.1121 0.162 second_trace 3
## 200 0.1162005 109.1121 0.162 second_trace 3
## 201 0.1162005 109.1121 0.162 second_trace 3
## 202 0.1162005 109.1121 0.162 second_trace 3
## 203 0.1162005 109.1121 0.162 second_trace 3
## 204 0.1162005 109.1121 0.162 second_trace 3
## 205 0.1162005 109.1121 0.162 second_trace 3
## 206 0.1162005 109.1121 0.162 second_trace 3
## 207 0.1162005 109.1121 0.162 second_trace 3
## 208 0.1162005 109.1121 0.162 mif1 3
## 209 0.1162005 109.1121 0.162 start 3
## 210 0.1162005 109.1121 0.162 first_trace 3
## 211 0.1162005 109.1121 0.162 first_trace 3
## 212 0.1162005 109.1121 0.162 first_trace 3
## 213 0.1162005 109.1121 0.162 first_trace 3
## 214 0.1162005 109.1121 0.162 first_trace 3
## 215 0.1162005 109.1121 0.162 first_trace 3
## 216 0.1162005 109.1121 0.162 first_trace 3
## 217 0.1162005 109.1121 0.162 first_trace 3
## 218 0.1162005 109.1121 0.162 first_trace 3
## 219 0.1162005 109.1121 0.162 first_trace 3
## 220 0.1162005 109.1121 0.162 first_trace 3
## 221 0.1162005 109.1121 0.162 first_trace 3
## 222 0.1162005 109.1121 0.162 first_trace 3
## 223 0.1162005 109.1121 0.162 first_trace 3
## 224 0.1162005 109.1121 0.162 first_trace 3
## 225 0.1162005 109.1121 0.162 first_trace 3
## 226 0.1162005 109.1121 0.162 first_trace 3
## 227 0.1162005 109.1121 0.162 first_trace 3
## 228 0.1162005 109.1121 0.162 first_trace 3
## 229 0.1162005 109.1121 0.162 first_trace 3
## 230 0.1162005 109.1121 0.162 first_trace 3
## 231 0.1162005 109.1121 0.162 first_trace 3
## 232 0.1162005 109.1121 0.162 first_trace 3
## 233 0.1162005 109.1121 0.162 first_trace 3
## 234 0.1162005 109.1121 0.162 first_trace 3
## 235 0.1162005 109.1121 0.162 first_trace 3
## 236 0.1162005 109.1121 0.162 first_trace 3
## 237 0.1162005 109.1121 0.162 first_trace 3
## 238 0.1162005 109.1121 0.162 first_trace 3
## 239 0.1162005 109.1121 0.162 first_trace 3
## 240 0.1162005 109.1121 0.162 first_trace 3
## 241 0.1162005 109.1121 0.162 first_trace 3
## 242 0.1162005 109.1121 0.162 first_trace 3
## 243 0.1162005 109.1121 0.162 first_trace 3
## 244 0.1162005 109.1121 0.162 first_trace 3
## 245 0.1162005 109.1121 0.162 first_trace 3
## 246 0.1162005 109.1121 0.162 first_trace 3
## 247 0.1162005 109.1121 0.162 first_trace 3
## 248 0.1162005 109.1121 0.162 first_trace 3
## 249 0.1162005 109.1121 0.162 first_trace 3
## 250 0.1162005 109.1121 0.162 first_trace 3
## 251 0.1162005 109.1121 0.162 first_trace 3
## 252 0.1162005 109.1121 0.162 first_trace 3
## 253 0.1162005 109.1121 0.162 first_trace 3
## 254 0.1162005 109.1121 0.162 first_trace 3
## 255 0.1162005 109.1121 0.162 first_trace 3
## 256 0.1162005 109.1121 0.162 first_trace 3
## 257 0.1162005 109.1121 0.162 first_trace 3
## 258 0.1162005 109.1121 0.162 first_trace 3
## 259 0.1162005 109.1121 0.162 first_trace 3
## 260 0.1162005 109.1121 0.162 first_trace 3
## 261 0.1162005 109.1121 0.162 second_trace 3
## 262 0.1162005 109.1121 0.162 second_trace 3
## 263 0.1162005 109.1121 0.162 second_trace 3
## 264 0.1162005 109.1121 0.162 second_trace 3
## 265 0.1162005 109.1121 0.162 second_trace 3
## 266 0.1162005 109.1121 0.162 second_trace 3
## 267 0.1162005 109.1121 0.162 second_trace 3
## 268 0.1162005 109.1121 0.162 second_trace 3
## 269 0.1162005 109.1121 0.162 second_trace 3
## 270 0.1162005 109.1121 0.162 second_trace 3
## 271 0.1162005 109.1121 0.162 second_trace 3
## 272 0.1162005 109.1121 0.162 second_trace 3
## 273 0.1162005 109.1121 0.162 second_trace 3
## 274 0.1162005 109.1121 0.162 second_trace 3
## 275 0.1162005 109.1121 0.162 second_trace 3
## 276 0.1162005 109.1121 0.162 second_trace 3
## 277 0.1162005 109.1121 0.162 second_trace 3
## 278 0.1162005 109.1121 0.162 second_trace 3
## 279 0.1162005 109.1121 0.162 second_trace 3
## 280 0.1162005 109.1121 0.162 second_trace 3
## 281 0.1162005 109.1121 0.162 second_trace 3
## 282 0.1162005 109.1121 0.162 second_trace 3
## 283 0.1162005 109.1121 0.162 second_trace 3
## 284 0.1162005 109.1121 0.162 second_trace 3
## 285 0.1162005 109.1121 0.162 second_trace 3
## 286 0.1162005 109.1121 0.162 second_trace 3
## 287 0.1162005 109.1121 0.162 second_trace 3
## 288 0.1162005 109.1121 0.162 second_trace 3
## 289 0.1162005 109.1121 0.162 second_trace 3
## 290 0.1162005 109.1121 0.162 second_trace 3
## 291 0.1162005 109.1121 0.162 second_trace 3
## 292 0.1162005 109.1121 0.162 second_trace 3
## 293 0.1162005 109.1121 0.162 second_trace 3
## 294 0.1162005 109.1121 0.162 second_trace 3
## 295 0.1162005 109.1121 0.162 second_trace 3
## 296 0.1162005 109.1121 0.162 second_trace 3
## 297 0.1162005 109.1121 0.162 second_trace 3
## 298 0.1162005 109.1121 0.162 second_trace 3
## 299 0.1162005 109.1121 0.162 second_trace 3
## 300 0.1162005 109.1121 0.162 second_trace 3
## 301 0.1162005 109.1121 0.162 second_trace 3
## 302 0.1162005 109.1121 0.162 second_trace 3
## 303 0.1162005 109.1121 0.162 second_trace 3
## 304 0.1162005 109.1121 0.162 second_trace 3
## 305 0.1162005 109.1121 0.162 second_trace 3
## 306 0.1162005 109.1121 0.162 second_trace 3
## 307 0.1162005 109.1121 0.162 second_trace 3
## 308 0.1162005 109.1121 0.162 second_trace 3
## 309 0.1162005 109.1121 0.162 second_trace 3
## 310 0.1162005 109.1121 0.162 second_trace 3
## 311 0.1162005 109.1121 0.162 second_trace 3
## 312 0.1162005 109.1121 0.162 mif1 3
## 313 0.1162005 109.1121 0.162 start 3
## 314 0.1162005 109.1121 0.162 first_trace 3
## 315 0.1162005 109.1121 0.162 first_trace 3
## 316 0.1162005 109.1121 0.162 first_trace 3
## 317 0.1162005 109.1121 0.162 first_trace 3
## 318 0.1162005 109.1121 0.162 first_trace 3
## 319 0.1162005 109.1121 0.162 first_trace 3
## 320 0.1162005 109.1121 0.162 first_trace 3
## 321 0.1162005 109.1121 0.162 first_trace 3
## 322 0.1162005 109.1121 0.162 first_trace 3
## 323 0.1162005 109.1121 0.162 first_trace 3
## 324 0.1162005 109.1121 0.162 first_trace 3
## 325 0.1162005 109.1121 0.162 first_trace 3
## 326 0.1162005 109.1121 0.162 first_trace 3
## 327 0.1162005 109.1121 0.162 first_trace 3
## 328 0.1162005 109.1121 0.162 first_trace 3
## 329 0.1162005 109.1121 0.162 first_trace 3
## 330 0.1162005 109.1121 0.162 first_trace 3
## 331 0.1162005 109.1121 0.162 first_trace 3
## 332 0.1162005 109.1121 0.162 first_trace 3
## 333 0.1162005 109.1121 0.162 first_trace 3
## 334 0.1162005 109.1121 0.162 first_trace 3
## 335 0.1162005 109.1121 0.162 first_trace 3
## 336 0.1162005 109.1121 0.162 first_trace 3
## 337 0.1162005 109.1121 0.162 first_trace 3
## 338 0.1162005 109.1121 0.162 first_trace 3
## 339 0.1162005 109.1121 0.162 first_trace 3
## 340 0.1162005 109.1121 0.162 first_trace 3
## 341 0.1162005 109.1121 0.162 first_trace 3
## 342 0.1162005 109.1121 0.162 first_trace 3
## 343 0.1162005 109.1121 0.162 first_trace 3
## 344 0.1162005 109.1121 0.162 first_trace 3
## 345 0.1162005 109.1121 0.162 first_trace 3
## 346 0.1162005 109.1121 0.162 first_trace 3
## 347 0.1162005 109.1121 0.162 first_trace 3
## 348 0.1162005 109.1121 0.162 first_trace 3
## 349 0.1162005 109.1121 0.162 first_trace 3
## 350 0.1162005 109.1121 0.162 first_trace 3
## 351 0.1162005 109.1121 0.162 first_trace 3
## 352 0.1162005 109.1121 0.162 first_trace 3
## 353 0.1162005 109.1121 0.162 first_trace 3
## 354 0.1162005 109.1121 0.162 first_trace 3
## 355 0.1162005 109.1121 0.162 first_trace 3
## 356 0.1162005 109.1121 0.162 first_trace 3
## 357 0.1162005 109.1121 0.162 first_trace 3
## 358 0.1162005 109.1121 0.162 first_trace 3
## 359 0.1162005 109.1121 0.162 first_trace 3
## 360 0.1162005 109.1121 0.162 first_trace 3
## 361 0.1162005 109.1121 0.162 first_trace 3
## 362 0.1162005 109.1121 0.162 first_trace 3
## 363 0.1162005 109.1121 0.162 first_trace 3
## 364 0.1162005 109.1121 0.162 first_trace 3
## 365 0.1162005 109.1121 0.162 second_trace 3
## 366 0.1162005 109.1121 0.162 second_trace 3
## 367 0.1162005 109.1121 0.162 second_trace 3
## 368 0.1162005 109.1121 0.162 second_trace 3
## 369 0.1162005 109.1121 0.162 second_trace 3
## 370 0.1162005 109.1121 0.162 second_trace 3
## 371 0.1162005 109.1121 0.162 second_trace 3
## 372 0.1162005 109.1121 0.162 second_trace 3
## 373 0.1162005 109.1121 0.162 second_trace 3
## 374 0.1162005 109.1121 0.162 second_trace 3
## 375 0.1162005 109.1121 0.162 second_trace 3
## 376 0.1162005 109.1121 0.162 second_trace 3
## 377 0.1162005 109.1121 0.162 second_trace 3
## 378 0.1162005 109.1121 0.162 second_trace 3
## 379 0.1162005 109.1121 0.162 second_trace 3
## 380 0.1162005 109.1121 0.162 second_trace 3
## 381 0.1162005 109.1121 0.162 second_trace 3
## 382 0.1162005 109.1121 0.162 second_trace 3
## 383 0.1162005 109.1121 0.162 second_trace 3
## 384 0.1162005 109.1121 0.162 second_trace 3
## 385 0.1162005 109.1121 0.162 second_trace 3
## 386 0.1162005 109.1121 0.162 second_trace 3
## 387 0.1162005 109.1121 0.162 second_trace 3
## 388 0.1162005 109.1121 0.162 second_trace 3
## 389 0.1162005 109.1121 0.162 second_trace 3
## 390 0.1162005 109.1121 0.162 second_trace 3
## 391 0.1162005 109.1121 0.162 second_trace 3
## 392 0.1162005 109.1121 0.162 second_trace 3
## 393 0.1162005 109.1121 0.162 second_trace 3
## 394 0.1162005 109.1121 0.162 second_trace 3
## 395 0.1162005 109.1121 0.162 second_trace 3
## 396 0.1162005 109.1121 0.162 second_trace 3
## 397 0.1162005 109.1121 0.162 second_trace 3
## 398 0.1162005 109.1121 0.162 second_trace 3
## 399 0.1162005 109.1121 0.162 second_trace 3
## 400 0.1162005 109.1121 0.162 second_trace 3
## 401 0.1162005 109.1121 0.162 second_trace 3
## 402 0.1162005 109.1121 0.162 second_trace 3
## 403 0.1162005 109.1121 0.162 second_trace 3
## 404 0.1162005 109.1121 0.162 second_trace 3
## 405 0.1162005 109.1121 0.162 second_trace 3
## 406 0.1162005 109.1121 0.162 second_trace 3
## 407 0.1162005 109.1121 0.162 second_trace 3
## 408 0.1162005 109.1121 0.162 second_trace 3
## 409 0.1162005 109.1121 0.162 second_trace 3
## 410 0.1162005 109.1121 0.162 second_trace 3
## 411 0.1162005 109.1121 0.162 second_trace 3
## 412 0.1162005 109.1121 0.162 second_trace 3
## 413 0.1162005 109.1121 0.162 second_trace 3
## 414 0.1162005 109.1121 0.162 second_trace 3
## 415 0.1162005 109.1121 0.162 second_trace 3
## 416 0.1162005 109.1121 0.162 mif1 3
## 417 0.1162005 109.1121 0.162 start 3
## 418 0.1162005 109.1121 0.162 first_trace 3
## 419 0.1162005 109.1121 0.162 first_trace 3
## 420 0.1162005 109.1121 0.162 first_trace 3
## 421 0.1162005 109.1121 0.162 first_trace 3
## 422 0.1162005 109.1121 0.162 first_trace 3
## 423 0.1162005 109.1121 0.162 first_trace 3
## 424 0.1162005 109.1121 0.162 first_trace 3
## 425 0.1162005 109.1121 0.162 first_trace 3
## 426 0.1162005 109.1121 0.162 first_trace 3
## 427 0.1162005 109.1121 0.162 first_trace 3
## 428 0.1162005 109.1121 0.162 first_trace 3
## 429 0.1162005 109.1121 0.162 first_trace 3
## 430 0.1162005 109.1121 0.162 first_trace 3
## 431 0.1162005 109.1121 0.162 first_trace 3
## 432 0.1162005 109.1121 0.162 first_trace 3
## 433 0.1162005 109.1121 0.162 first_trace 3
## 434 0.1162005 109.1121 0.162 first_trace 3
## 435 0.1162005 109.1121 0.162 first_trace 3
## 436 0.1162005 109.1121 0.162 first_trace 3
## 437 0.1162005 109.1121 0.162 first_trace 3
## 438 0.1162005 109.1121 0.162 first_trace 3
## 439 0.1162005 109.1121 0.162 first_trace 3
## 440 0.1162005 109.1121 0.162 first_trace 3
## 441 0.1162005 109.1121 0.162 first_trace 3
## 442 0.1162005 109.1121 0.162 first_trace 3
## 443 0.1162005 109.1121 0.162 first_trace 3
## 444 0.1162005 109.1121 0.162 first_trace 3
## 445 0.1162005 109.1121 0.162 first_trace 3
## 446 0.1162005 109.1121 0.162 first_trace 3
## 447 0.1162005 109.1121 0.162 first_trace 3
## 448 0.1162005 109.1121 0.162 first_trace 3
## 449 0.1162005 109.1121 0.162 first_trace 3
## 450 0.1162005 109.1121 0.162 first_trace 3
## 451 0.1162005 109.1121 0.162 first_trace 3
## 452 0.1162005 109.1121 0.162 first_trace 3
## 453 0.1162005 109.1121 0.162 first_trace 3
## 454 0.1162005 109.1121 0.162 first_trace 3
## 455 0.1162005 109.1121 0.162 first_trace 3
## 456 0.1162005 109.1121 0.162 first_trace 3
## 457 0.1162005 109.1121 0.162 first_trace 3
## 458 0.1162005 109.1121 0.162 first_trace 3
## 459 0.1162005 109.1121 0.162 first_trace 3
## 460 0.1162005 109.1121 0.162 first_trace 3
## 461 0.1162005 109.1121 0.162 first_trace 3
## 462 0.1162005 109.1121 0.162 first_trace 3
## 463 0.1162005 109.1121 0.162 first_trace 3
## 464 0.1162005 109.1121 0.162 first_trace 3
## 465 0.1162005 109.1121 0.162 first_trace 3
## 466 0.1162005 109.1121 0.162 first_trace 3
## 467 0.1162005 109.1121 0.162 first_trace 3
## 468 0.1162005 109.1121 0.162 first_trace 3
## 469 0.1162005 109.1121 0.162 second_trace 3
## 470 0.1162005 109.1121 0.162 second_trace 3
## 471 0.1162005 109.1121 0.162 second_trace 3
## 472 0.1162005 109.1121 0.162 second_trace 3
## 473 0.1162005 109.1121 0.162 second_trace 3
## 474 0.1162005 109.1121 0.162 second_trace 3
## 475 0.1162005 109.1121 0.162 second_trace 3
## 476 0.1162005 109.1121 0.162 second_trace 3
## 477 0.1162005 109.1121 0.162 second_trace 3
## 478 0.1162005 109.1121 0.162 second_trace 3
## 479 0.1162005 109.1121 0.162 second_trace 3
## 480 0.1162005 109.1121 0.162 second_trace 3
## 481 0.1162005 109.1121 0.162 second_trace 3
## 482 0.1162005 109.1121 0.162 second_trace 3
## 483 0.1162005 109.1121 0.162 second_trace 3
## 484 0.1162005 109.1121 0.162 second_trace 3
## 485 0.1162005 109.1121 0.162 second_trace 3
## 486 0.1162005 109.1121 0.162 second_trace 3
## 487 0.1162005 109.1121 0.162 second_trace 3
## 488 0.1162005 109.1121 0.162 second_trace 3
## 489 0.1162005 109.1121 0.162 second_trace 3
## 490 0.1162005 109.1121 0.162 second_trace 3
## 491 0.1162005 109.1121 0.162 second_trace 3
## 492 0.1162005 109.1121 0.162 second_trace 3
## 493 0.1162005 109.1121 0.162 second_trace 3
## 494 0.1162005 109.1121 0.162 second_trace 3
## 495 0.1162005 109.1121 0.162 second_trace 3
## 496 0.1162005 109.1121 0.162 second_trace 3
## 497 0.1162005 109.1121 0.162 second_trace 3
## 498 0.1162005 109.1121 0.162 second_trace 3
## 499 0.1162005 109.1121 0.162 second_trace 3
## 500 0.1162005 109.1121 0.162 second_trace 3
## 501 0.1162005 109.1121 0.162 second_trace 3
## 502 0.1162005 109.1121 0.162 second_trace 3
## 503 0.1162005 109.1121 0.162 second_trace 3
## 504 0.1162005 109.1121 0.162 second_trace 3
## 505 0.1162005 109.1121 0.162 second_trace 3
## 506 0.1162005 109.1121 0.162 second_trace 3
## 507 0.1162005 109.1121 0.162 second_trace 3
## 508 0.1162005 109.1121 0.162 second_trace 3
## 509 0.1162005 109.1121 0.162 second_trace 3
## 510 0.1162005 109.1121 0.162 second_trace 3
## 511 0.1162005 109.1121 0.162 second_trace 3
## 512 0.1162005 109.1121 0.162 second_trace 3
## 513 0.1162005 109.1121 0.162 second_trace 3
## 514 0.1162005 109.1121 0.162 second_trace 3
## 515 0.1162005 109.1121 0.162 second_trace 3
## 516 0.1162005 109.1121 0.162 second_trace 3
## 517 0.1162005 109.1121 0.162 second_trace 3
## 518 0.1162005 109.1121 0.162 second_trace 3
## 519 0.1162005 109.1121 0.162 second_trace 3
## 520 0.1162005 109.1121 0.162 mif1 3
## 521 0.1162005 109.1121 0.162 start 3
## 522 0.1162005 109.1121 0.162 first_trace 3
## 523 0.1162005 109.1121 0.162 first_trace 3
## 524 0.1162005 109.1121 0.162 first_trace 3
## 525 0.1162005 109.1121 0.162 first_trace 3
## 526 0.1162005 109.1121 0.162 first_trace 3
## 527 0.1162005 109.1121 0.162 first_trace 3
## 528 0.1162005 109.1121 0.162 first_trace 3
## 529 0.1162005 109.1121 0.162 first_trace 3
## 530 0.1162005 109.1121 0.162 first_trace 3
## 531 0.1162005 109.1121 0.162 first_trace 3
## 532 0.1162005 109.1121 0.162 first_trace 3
## 533 0.1162005 109.1121 0.162 first_trace 3
## 534 0.1162005 109.1121 0.162 first_trace 3
## 535 0.1162005 109.1121 0.162 first_trace 3
## 536 0.1162005 109.1121 0.162 first_trace 3
## 537 0.1162005 109.1121 0.162 first_trace 3
## 538 0.1162005 109.1121 0.162 first_trace 3
## 539 0.1162005 109.1121 0.162 first_trace 3
## 540 0.1162005 109.1121 0.162 first_trace 3
## 541 0.1162005 109.1121 0.162 first_trace 3
## 542 0.1162005 109.1121 0.162 first_trace 3
## 543 0.1162005 109.1121 0.162 first_trace 3
## 544 0.1162005 109.1121 0.162 first_trace 3
## 545 0.1162005 109.1121 0.162 first_trace 3
## 546 0.1162005 109.1121 0.162 first_trace 3
## 547 0.1162005 109.1121 0.162 first_trace 3
## 548 0.1162005 109.1121 0.162 first_trace 3
## 549 0.1162005 109.1121 0.162 first_trace 3
## 550 0.1162005 109.1121 0.162 first_trace 3
## 551 0.1162005 109.1121 0.162 first_trace 3
## 552 0.1162005 109.1121 0.162 first_trace 3
## 553 0.1162005 109.1121 0.162 first_trace 3
## 554 0.1162005 109.1121 0.162 first_trace 3
## 555 0.1162005 109.1121 0.162 first_trace 3
## 556 0.1162005 109.1121 0.162 first_trace 3
## 557 0.1162005 109.1121 0.162 first_trace 3
## 558 0.1162005 109.1121 0.162 first_trace 3
## 559 0.1162005 109.1121 0.162 first_trace 3
## 560 0.1162005 109.1121 0.162 first_trace 3
## 561 0.1162005 109.1121 0.162 first_trace 3
## 562 0.1162005 109.1121 0.162 first_trace 3
## 563 0.1162005 109.1121 0.162 first_trace 3
## 564 0.1162005 109.1121 0.162 first_trace 3
## 565 0.1162005 109.1121 0.162 first_trace 3
## 566 0.1162005 109.1121 0.162 first_trace 3
## 567 0.1162005 109.1121 0.162 first_trace 3
## 568 0.1162005 109.1121 0.162 first_trace 3
## 569 0.1162005 109.1121 0.162 first_trace 3
## 570 0.1162005 109.1121 0.162 first_trace 3
## 571 0.1162005 109.1121 0.162 first_trace 3
## 572 0.1162005 109.1121 0.162 first_trace 3
## 573 0.1162005 109.1121 0.162 second_trace 3
## 574 0.1162005 109.1121 0.162 second_trace 3
## 575 0.1162005 109.1121 0.162 second_trace 3
## 576 0.1162005 109.1121 0.162 second_trace 3
## 577 0.1162005 109.1121 0.162 second_trace 3
## 578 0.1162005 109.1121 0.162 second_trace 3
## 579 0.1162005 109.1121 0.162 second_trace 3
## 580 0.1162005 109.1121 0.162 second_trace 3
## 581 0.1162005 109.1121 0.162 second_trace 3
## 582 0.1162005 109.1121 0.162 second_trace 3
## 583 0.1162005 109.1121 0.162 second_trace 3
## 584 0.1162005 109.1121 0.162 second_trace 3
## 585 0.1162005 109.1121 0.162 second_trace 3
## 586 0.1162005 109.1121 0.162 second_trace 3
## 587 0.1162005 109.1121 0.162 second_trace 3
## 588 0.1162005 109.1121 0.162 second_trace 3
## 589 0.1162005 109.1121 0.162 second_trace 3
## 590 0.1162005 109.1121 0.162 second_trace 3
## 591 0.1162005 109.1121 0.162 second_trace 3
## 592 0.1162005 109.1121 0.162 second_trace 3
## 593 0.1162005 109.1121 0.162 second_trace 3
## 594 0.1162005 109.1121 0.162 second_trace 3
## 595 0.1162005 109.1121 0.162 second_trace 3
## 596 0.1162005 109.1121 0.162 second_trace 3
## 597 0.1162005 109.1121 0.162 second_trace 3
## 598 0.1162005 109.1121 0.162 second_trace 3
## 599 0.1162005 109.1121 0.162 second_trace 3
## 600 0.1162005 109.1121 0.162 second_trace 3
## 601 0.1162005 109.1121 0.162 second_trace 3
## 602 0.1162005 109.1121 0.162 second_trace 3
## 603 0.1162005 109.1121 0.162 second_trace 3
## 604 0.1162005 109.1121 0.162 second_trace 3
## 605 0.1162005 109.1121 0.162 second_trace 3
## 606 0.1162005 109.1121 0.162 second_trace 3
## 607 0.1162005 109.1121 0.162 second_trace 3
## 608 0.1162005 109.1121 0.162 second_trace 3
## 609 0.1162005 109.1121 0.162 second_trace 3
## 610 0.1162005 109.1121 0.162 second_trace 3
## 611 0.1162005 109.1121 0.162 second_trace 3
## 612 0.1162005 109.1121 0.162 second_trace 3
## 613 0.1162005 109.1121 0.162 second_trace 3
## 614 0.1162005 109.1121 0.162 second_trace 3
## 615 0.1162005 109.1121 0.162 second_trace 3
## 616 0.1162005 109.1121 0.162 second_trace 3
## 617 0.1162005 109.1121 0.162 second_trace 3
## 618 0.1162005 109.1121 0.162 second_trace 3
## 619 0.1162005 109.1121 0.162 second_trace 3
## 620 0.1162005 109.1121 0.162 second_trace 3
## 621 0.1162005 109.1121 0.162 second_trace 3
## 622 0.1162005 109.1121 0.162 second_trace 3
## 623 0.1162005 109.1121 0.162 second_trace 3
## 624 0.1162005 109.1121 0.162 mif1 3
## 625 0.1162005 109.1121 0.162 start 3
## 626 0.1162005 109.1121 0.162 first_trace 3
## 627 0.1162005 109.1121 0.162 first_trace 3
## 628 0.1162005 109.1121 0.162 first_trace 3
## 629 0.1162005 109.1121 0.162 first_trace 3
## 630 0.1162005 109.1121 0.162 first_trace 3
## 631 0.1162005 109.1121 0.162 first_trace 3
## 632 0.1162005 109.1121 0.162 first_trace 3
## 633 0.1162005 109.1121 0.162 first_trace 3
## 634 0.1162005 109.1121 0.162 first_trace 3
## 635 0.1162005 109.1121 0.162 first_trace 3
## 636 0.1162005 109.1121 0.162 first_trace 3
## 637 0.1162005 109.1121 0.162 first_trace 3
## 638 0.1162005 109.1121 0.162 first_trace 3
## 639 0.1162005 109.1121 0.162 first_trace 3
## 640 0.1162005 109.1121 0.162 first_trace 3
## 641 0.1162005 109.1121 0.162 first_trace 3
## 642 0.1162005 109.1121 0.162 first_trace 3
## 643 0.1162005 109.1121 0.162 first_trace 3
## 644 0.1162005 109.1121 0.162 first_trace 3
## 645 0.1162005 109.1121 0.162 first_trace 3
## 646 0.1162005 109.1121 0.162 first_trace 3
## 647 0.1162005 109.1121 0.162 first_trace 3
## 648 0.1162005 109.1121 0.162 first_trace 3
## 649 0.1162005 109.1121 0.162 first_trace 3
## 650 0.1162005 109.1121 0.162 first_trace 3
## 651 0.1162005 109.1121 0.162 first_trace 3
## 652 0.1162005 109.1121 0.162 first_trace 3
## 653 0.1162005 109.1121 0.162 first_trace 3
## 654 0.1162005 109.1121 0.162 first_trace 3
## 655 0.1162005 109.1121 0.162 first_trace 3
## 656 0.1162005 109.1121 0.162 first_trace 3
## 657 0.1162005 109.1121 0.162 first_trace 3
## 658 0.1162005 109.1121 0.162 first_trace 3
## 659 0.1162005 109.1121 0.162 first_trace 3
## 660 0.1162005 109.1121 0.162 first_trace 3
## 661 0.1162005 109.1121 0.162 first_trace 3
## 662 0.1162005 109.1121 0.162 first_trace 3
## 663 0.1162005 109.1121 0.162 first_trace 3
## 664 0.1162005 109.1121 0.162 first_trace 3
## 665 0.1162005 109.1121 0.162 first_trace 3
## 666 0.1162005 109.1121 0.162 first_trace 3
## 667 0.1162005 109.1121 0.162 first_trace 3
## 668 0.1162005 109.1121 0.162 first_trace 3
## 669 0.1162005 109.1121 0.162 first_trace 3
## 670 0.1162005 109.1121 0.162 first_trace 3
## 671 0.1162005 109.1121 0.162 first_trace 3
## 672 0.1162005 109.1121 0.162 first_trace 3
## 673 0.1162005 109.1121 0.162 first_trace 3
## 674 0.1162005 109.1121 0.162 first_trace 3
## 675 0.1162005 109.1121 0.162 first_trace 3
## 676 0.1162005 109.1121 0.162 first_trace 3
## 677 0.1162005 109.1121 0.162 second_trace 3
## 678 0.1162005 109.1121 0.162 second_trace 3
## 679 0.1162005 109.1121 0.162 second_trace 3
## 680 0.1162005 109.1121 0.162 second_trace 3
## 681 0.1162005 109.1121 0.162 second_trace 3
## 682 0.1162005 109.1121 0.162 second_trace 3
## 683 0.1162005 109.1121 0.162 second_trace 3
## 684 0.1162005 109.1121 0.162 second_trace 3
## 685 0.1162005 109.1121 0.162 second_trace 3
## 686 0.1162005 109.1121 0.162 second_trace 3
## 687 0.1162005 109.1121 0.162 second_trace 3
## 688 0.1162005 109.1121 0.162 second_trace 3
## 689 0.1162005 109.1121 0.162 second_trace 3
## 690 0.1162005 109.1121 0.162 second_trace 3
## 691 0.1162005 109.1121 0.162 second_trace 3
## 692 0.1162005 109.1121 0.162 second_trace 3
## 693 0.1162005 109.1121 0.162 second_trace 3
## 694 0.1162005 109.1121 0.162 second_trace 3
## 695 0.1162005 109.1121 0.162 second_trace 3
## 696 0.1162005 109.1121 0.162 second_trace 3
## 697 0.1162005 109.1121 0.162 second_trace 3
## 698 0.1162005 109.1121 0.162 second_trace 3
## 699 0.1162005 109.1121 0.162 second_trace 3
## 700 0.1162005 109.1121 0.162 second_trace 3
## 701 0.1162005 109.1121 0.162 second_trace 3
## 702 0.1162005 109.1121 0.162 second_trace 3
## 703 0.1162005 109.1121 0.162 second_trace 3
## 704 0.1162005 109.1121 0.162 second_trace 3
## 705 0.1162005 109.1121 0.162 second_trace 3
## 706 0.1162005 109.1121 0.162 second_trace 3
## 707 0.1162005 109.1121 0.162 second_trace 3
## 708 0.1162005 109.1121 0.162 second_trace 3
## 709 0.1162005 109.1121 0.162 second_trace 3
## 710 0.1162005 109.1121 0.162 second_trace 3
## 711 0.1162005 109.1121 0.162 second_trace 3
## 712 0.1162005 109.1121 0.162 second_trace 3
## 713 0.1162005 109.1121 0.162 second_trace 3
## 714 0.1162005 109.1121 0.162 second_trace 3
## 715 0.1162005 109.1121 0.162 second_trace 3
## 716 0.1162005 109.1121 0.162 second_trace 3
## 717 0.1162005 109.1121 0.162 second_trace 3
## 718 0.1162005 109.1121 0.162 second_trace 3
## 719 0.1162005 109.1121 0.162 second_trace 3
## 720 0.1162005 109.1121 0.162 second_trace 3
## 721 0.1162005 109.1121 0.162 second_trace 3
## 722 0.1162005 109.1121 0.162 second_trace 3
## 723 0.1162005 109.1121 0.162 second_trace 3
## 724 0.1162005 109.1121 0.162 second_trace 3
## 725 0.1162005 109.1121 0.162 second_trace 3
## 726 0.1162005 109.1121 0.162 second_trace 3
## 727 0.1162005 109.1121 0.162 second_trace 3
## 728 0.1162005 109.1121 0.162 mif1 3
## 729 0.1162005 109.1121 0.162 start 3
## 730 0.1162005 109.1121 0.162 first_trace 3
## 731 0.1162005 109.1121 0.162 first_trace 3
## 732 0.1162005 109.1121 0.162 first_trace 3
## 733 0.1162005 109.1121 0.162 first_trace 3
## 734 0.1162005 109.1121 0.162 first_trace 3
## 735 0.1162005 109.1121 0.162 first_trace 3
## 736 0.1162005 109.1121 0.162 first_trace 3
## 737 0.1162005 109.1121 0.162 first_trace 3
## 738 0.1162005 109.1121 0.162 first_trace 3
## 739 0.1162005 109.1121 0.162 first_trace 3
## 740 0.1162005 109.1121 0.162 first_trace 3
## 741 0.1162005 109.1121 0.162 first_trace 3
## 742 0.1162005 109.1121 0.162 first_trace 3
## 743 0.1162005 109.1121 0.162 first_trace 3
## 744 0.1162005 109.1121 0.162 first_trace 3
## 745 0.1162005 109.1121 0.162 first_trace 3
## 746 0.1162005 109.1121 0.162 first_trace 3
## 747 0.1162005 109.1121 0.162 first_trace 3
## 748 0.1162005 109.1121 0.162 first_trace 3
## 749 0.1162005 109.1121 0.162 first_trace 3
## 750 0.1162005 109.1121 0.162 first_trace 3
## 751 0.1162005 109.1121 0.162 first_trace 3
## 752 0.1162005 109.1121 0.162 first_trace 3
## 753 0.1162005 109.1121 0.162 first_trace 3
## 754 0.1162005 109.1121 0.162 first_trace 3
## 755 0.1162005 109.1121 0.162 first_trace 3
## 756 0.1162005 109.1121 0.162 first_trace 3
## 757 0.1162005 109.1121 0.162 first_trace 3
## 758 0.1162005 109.1121 0.162 first_trace 3
## 759 0.1162005 109.1121 0.162 first_trace 3
## 760 0.1162005 109.1121 0.162 first_trace 3
## 761 0.1162005 109.1121 0.162 first_trace 3
## 762 0.1162005 109.1121 0.162 first_trace 3
## 763 0.1162005 109.1121 0.162 first_trace 3
## 764 0.1162005 109.1121 0.162 first_trace 3
## 765 0.1162005 109.1121 0.162 first_trace 3
## 766 0.1162005 109.1121 0.162 first_trace 3
## 767 0.1162005 109.1121 0.162 first_trace 3
## 768 0.1162005 109.1121 0.162 first_trace 3
## 769 0.1162005 109.1121 0.162 first_trace 3
## 770 0.1162005 109.1121 0.162 first_trace 3
## 771 0.1162005 109.1121 0.162 first_trace 3
## 772 0.1162005 109.1121 0.162 first_trace 3
## 773 0.1162005 109.1121 0.162 first_trace 3
## 774 0.1162005 109.1121 0.162 first_trace 3
## 775 0.1162005 109.1121 0.162 first_trace 3
## 776 0.1162005 109.1121 0.162 first_trace 3
## 777 0.1162005 109.1121 0.162 first_trace 3
## 778 0.1162005 109.1121 0.162 first_trace 3
## 779 0.1162005 109.1121 0.162 first_trace 3
## 780 0.1162005 109.1121 0.162 first_trace 3
## 781 0.1162005 109.1121 0.162 second_trace 3
## 782 0.1162005 109.1121 0.162 second_trace 3
## 783 0.1162005 109.1121 0.162 second_trace 3
## 784 0.1162005 109.1121 0.162 second_trace 3
## 785 0.1162005 109.1121 0.162 second_trace 3
## 786 0.1162005 109.1121 0.162 second_trace 3
## 787 0.1162005 109.1121 0.162 second_trace 3
## 788 0.1162005 109.1121 0.162 second_trace 3
## 789 0.1162005 109.1121 0.162 second_trace 3
## 790 0.1162005 109.1121 0.162 second_trace 3
## 791 0.1162005 109.1121 0.162 second_trace 3
## 792 0.1162005 109.1121 0.162 second_trace 3
## 793 0.1162005 109.1121 0.162 second_trace 3
## 794 0.1162005 109.1121 0.162 second_trace 3
## 795 0.1162005 109.1121 0.162 second_trace 3
## 796 0.1162005 109.1121 0.162 second_trace 3
## 797 0.1162005 109.1121 0.162 second_trace 3
## 798 0.1162005 109.1121 0.162 second_trace 3
## 799 0.1162005 109.1121 0.162 second_trace 3
## 800 0.1162005 109.1121 0.162 second_trace 3
## 801 0.1162005 109.1121 0.162 second_trace 3
## 802 0.1162005 109.1121 0.162 second_trace 3
## 803 0.1162005 109.1121 0.162 second_trace 3
## 804 0.1162005 109.1121 0.162 second_trace 3
## 805 0.1162005 109.1121 0.162 second_trace 3
## 806 0.1162005 109.1121 0.162 second_trace 3
## 807 0.1162005 109.1121 0.162 second_trace 3
## 808 0.1162005 109.1121 0.162 second_trace 3
## 809 0.1162005 109.1121 0.162 second_trace 3
## 810 0.1162005 109.1121 0.162 second_trace 3
## 811 0.1162005 109.1121 0.162 second_trace 3
## 812 0.1162005 109.1121 0.162 second_trace 3
## 813 0.1162005 109.1121 0.162 second_trace 3
## 814 0.1162005 109.1121 0.162 second_trace 3
## 815 0.1162005 109.1121 0.162 second_trace 3
## 816 0.1162005 109.1121 0.162 second_trace 3
## 817 0.1162005 109.1121 0.162 second_trace 3
## 818 0.1162005 109.1121 0.162 second_trace 3
## 819 0.1162005 109.1121 0.162 second_trace 3
## 820 0.1162005 109.1121 0.162 second_trace 3
## 821 0.1162005 109.1121 0.162 second_trace 3
## 822 0.1162005 109.1121 0.162 second_trace 3
## 823 0.1162005 109.1121 0.162 second_trace 3
## 824 0.1162005 109.1121 0.162 second_trace 3
## 825 0.1162005 109.1121 0.162 second_trace 3
## 826 0.1162005 109.1121 0.162 second_trace 3
## 827 0.1162005 109.1121 0.162 second_trace 3
## 828 0.1162005 109.1121 0.162 second_trace 3
## 829 0.1162005 109.1121 0.162 second_trace 3
## 830 0.1162005 109.1121 0.162 second_trace 3
## 831 0.1162005 109.1121 0.162 second_trace 3
## 832 0.1162005 109.1121 0.162 mif1 3
## 833 0.1162005 109.1121 0.162 start 3
## 834 0.1162005 109.1121 0.162 first_trace 3
## 835 0.1162005 109.1121 0.162 first_trace 3
## 836 0.1162005 109.1121 0.162 first_trace 3
## 837 0.1162005 109.1121 0.162 first_trace 3
## 838 0.1162005 109.1121 0.162 first_trace 3
## 839 0.1162005 109.1121 0.162 first_trace 3
## 840 0.1162005 109.1121 0.162 first_trace 3
## 841 0.1162005 109.1121 0.162 first_trace 3
## 842 0.1162005 109.1121 0.162 first_trace 3
## 843 0.1162005 109.1121 0.162 first_trace 3
## 844 0.1162005 109.1121 0.162 first_trace 3
## 845 0.1162005 109.1121 0.162 first_trace 3
## 846 0.1162005 109.1121 0.162 first_trace 3
## 847 0.1162005 109.1121 0.162 first_trace 3
## 848 0.1162005 109.1121 0.162 first_trace 3
## 849 0.1162005 109.1121 0.162 first_trace 3
## 850 0.1162005 109.1121 0.162 first_trace 3
## 851 0.1162005 109.1121 0.162 first_trace 3
## 852 0.1162005 109.1121 0.162 first_trace 3
## 853 0.1162005 109.1121 0.162 first_trace 3
## 854 0.1162005 109.1121 0.162 first_trace 3
## 855 0.1162005 109.1121 0.162 first_trace 3
## 856 0.1162005 109.1121 0.162 first_trace 3
## 857 0.1162005 109.1121 0.162 first_trace 3
## 858 0.1162005 109.1121 0.162 first_trace 3
## 859 0.1162005 109.1121 0.162 first_trace 3
## 860 0.1162005 109.1121 0.162 first_trace 3
## 861 0.1162005 109.1121 0.162 first_trace 3
## 862 0.1162005 109.1121 0.162 first_trace 3
## 863 0.1162005 109.1121 0.162 first_trace 3
## 864 0.1162005 109.1121 0.162 first_trace 3
## 865 0.1162005 109.1121 0.162 first_trace 3
## 866 0.1162005 109.1121 0.162 first_trace 3
## 867 0.1162005 109.1121 0.162 first_trace 3
## 868 0.1162005 109.1121 0.162 first_trace 3
## 869 0.1162005 109.1121 0.162 first_trace 3
## 870 0.1162005 109.1121 0.162 first_trace 3
## 871 0.1162005 109.1121 0.162 first_trace 3
## 872 0.1162005 109.1121 0.162 first_trace 3
## 873 0.1162005 109.1121 0.162 first_trace 3
## 874 0.1162005 109.1121 0.162 first_trace 3
## 875 0.1162005 109.1121 0.162 first_trace 3
## 876 0.1162005 109.1121 0.162 first_trace 3
## 877 0.1162005 109.1121 0.162 first_trace 3
## 878 0.1162005 109.1121 0.162 first_trace 3
## 879 0.1162005 109.1121 0.162 first_trace 3
## 880 0.1162005 109.1121 0.162 first_trace 3
## 881 0.1162005 109.1121 0.162 first_trace 3
## 882 0.1162005 109.1121 0.162 first_trace 3
## 883 0.1162005 109.1121 0.162 first_trace 3
## 884 0.1162005 109.1121 0.162 first_trace 3
## 885 0.1162005 109.1121 0.162 second_trace 3
## 886 0.1162005 109.1121 0.162 second_trace 3
## 887 0.1162005 109.1121 0.162 second_trace 3
## 888 0.1162005 109.1121 0.162 second_trace 3
## 889 0.1162005 109.1121 0.162 second_trace 3
## 890 0.1162005 109.1121 0.162 second_trace 3
## 891 0.1162005 109.1121 0.162 second_trace 3
## 892 0.1162005 109.1121 0.162 second_trace 3
## 893 0.1162005 109.1121 0.162 second_trace 3
## 894 0.1162005 109.1121 0.162 second_trace 3
## 895 0.1162005 109.1121 0.162 second_trace 3
## 896 0.1162005 109.1121 0.162 second_trace 3
## 897 0.1162005 109.1121 0.162 second_trace 3
## 898 0.1162005 109.1121 0.162 second_trace 3
## 899 0.1162005 109.1121 0.162 second_trace 3
## 900 0.1162005 109.1121 0.162 second_trace 3
## 901 0.1162005 109.1121 0.162 second_trace 3
## 902 0.1162005 109.1121 0.162 second_trace 3
## 903 0.1162005 109.1121 0.162 second_trace 3
## 904 0.1162005 109.1121 0.162 second_trace 3
## 905 0.1162005 109.1121 0.162 second_trace 3
## 906 0.1162005 109.1121 0.162 second_trace 3
## 907 0.1162005 109.1121 0.162 second_trace 3
## 908 0.1162005 109.1121 0.162 second_trace 3
## 909 0.1162005 109.1121 0.162 second_trace 3
## 910 0.1162005 109.1121 0.162 second_trace 3
## 911 0.1162005 109.1121 0.162 second_trace 3
## 912 0.1162005 109.1121 0.162 second_trace 3
## 913 0.1162005 109.1121 0.162 second_trace 3
## 914 0.1162005 109.1121 0.162 second_trace 3
## 915 0.1162005 109.1121 0.162 second_trace 3
## 916 0.1162005 109.1121 0.162 second_trace 3
## 917 0.1162005 109.1121 0.162 second_trace 3
## 918 0.1162005 109.1121 0.162 second_trace 3
## 919 0.1162005 109.1121 0.162 second_trace 3
## 920 0.1162005 109.1121 0.162 second_trace 3
## 921 0.1162005 109.1121 0.162 second_trace 3
## 922 0.1162005 109.1121 0.162 second_trace 3
## 923 0.1162005 109.1121 0.162 second_trace 3
## 924 0.1162005 109.1121 0.162 second_trace 3
## 925 0.1162005 109.1121 0.162 second_trace 3
## 926 0.1162005 109.1121 0.162 second_trace 3
## 927 0.1162005 109.1121 0.162 second_trace 3
## 928 0.1162005 109.1121 0.162 second_trace 3
## 929 0.1162005 109.1121 0.162 second_trace 3
## 930 0.1162005 109.1121 0.162 second_trace 3
## 931 0.1162005 109.1121 0.162 second_trace 3
## 932 0.1162005 109.1121 0.162 second_trace 3
## 933 0.1162005 109.1121 0.162 second_trace 3
## 934 0.1162005 109.1121 0.162 second_trace 3
## 935 0.1162005 109.1121 0.162 second_trace 3
## 936 0.1162005 109.1121 0.162 mif1 3
## 937 0.1162005 109.1121 0.162 start 3
## 938 0.1162005 109.1121 0.162 first_trace 3
## 939 0.1162005 109.1121 0.162 first_trace 3
## 940 0.1162005 109.1121 0.162 first_trace 3
## 941 0.1162005 109.1121 0.162 first_trace 3
## 942 0.1162005 109.1121 0.162 first_trace 3
## 943 0.1162005 109.1121 0.162 first_trace 3
## 944 0.1162005 109.1121 0.162 first_trace 3
## 945 0.1162005 109.1121 0.162 first_trace 3
## 946 0.1162005 109.1121 0.162 first_trace 3
## 947 0.1162005 109.1121 0.162 first_trace 3
## 948 0.1162005 109.1121 0.162 first_trace 3
## 949 0.1162005 109.1121 0.162 first_trace 3
## 950 0.1162005 109.1121 0.162 first_trace 3
## 951 0.1162005 109.1121 0.162 first_trace 3
## 952 0.1162005 109.1121 0.162 first_trace 3
## 953 0.1162005 109.1121 0.162 first_trace 3
## 954 0.1162005 109.1121 0.162 first_trace 3
## 955 0.1162005 109.1121 0.162 first_trace 3
## 956 0.1162005 109.1121 0.162 first_trace 3
## 957 0.1162005 109.1121 0.162 first_trace 3
## 958 0.1162005 109.1121 0.162 first_trace 3
## 959 0.1162005 109.1121 0.162 first_trace 3
## 960 0.1162005 109.1121 0.162 first_trace 3
## 961 0.1162005 109.1121 0.162 first_trace 3
## 962 0.1162005 109.1121 0.162 first_trace 3
## 963 0.1162005 109.1121 0.162 first_trace 3
## 964 0.1162005 109.1121 0.162 first_trace 3
## 965 0.1162005 109.1121 0.162 first_trace 3
## 966 0.1162005 109.1121 0.162 first_trace 3
## 967 0.1162005 109.1121 0.162 first_trace 3
## 968 0.1162005 109.1121 0.162 first_trace 3
## 969 0.1162005 109.1121 0.162 first_trace 3
## 970 0.1162005 109.1121 0.162 first_trace 3
## 971 0.1162005 109.1121 0.162 first_trace 3
## 972 0.1162005 109.1121 0.162 first_trace 3
## 973 0.1162005 109.1121 0.162 first_trace 3
## 974 0.1162005 109.1121 0.162 first_trace 3
## 975 0.1162005 109.1121 0.162 first_trace 3
## 976 0.1162005 109.1121 0.162 first_trace 3
## 977 0.1162005 109.1121 0.162 first_trace 3
## 978 0.1162005 109.1121 0.162 first_trace 3
## 979 0.1162005 109.1121 0.162 first_trace 3
## 980 0.1162005 109.1121 0.162 first_trace 3
## 981 0.1162005 109.1121 0.162 first_trace 3
## 982 0.1162005 109.1121 0.162 first_trace 3
## 983 0.1162005 109.1121 0.162 first_trace 3
## 984 0.1162005 109.1121 0.162 first_trace 3
## 985 0.1162005 109.1121 0.162 first_trace 3
## 986 0.1162005 109.1121 0.162 first_trace 3
## 987 0.1162005 109.1121 0.162 first_trace 3
## 988 0.1162005 109.1121 0.162 first_trace 3
## 989 0.1162005 109.1121 0.162 second_trace 3
## 990 0.1162005 109.1121 0.162 second_trace 3
## 991 0.1162005 109.1121 0.162 second_trace 3
## 992 0.1162005 109.1121 0.162 second_trace 3
## 993 0.1162005 109.1121 0.162 second_trace 3
## 994 0.1162005 109.1121 0.162 second_trace 3
## 995 0.1162005 109.1121 0.162 second_trace 3
## 996 0.1162005 109.1121 0.162 second_trace 3
## 997 0.1162005 109.1121 0.162 second_trace 3
## 998 0.1162005 109.1121 0.162 second_trace 3
## 999 0.1162005 109.1121 0.162 second_trace 3
## 1000 0.1162005 109.1121 0.162 second_trace 3
## 1001 0.1162005 109.1121 0.162 second_trace 3
## 1002 0.1162005 109.1121 0.162 second_trace 3
## 1003 0.1162005 109.1121 0.162 second_trace 3
## 1004 0.1162005 109.1121 0.162 second_trace 3
## 1005 0.1162005 109.1121 0.162 second_trace 3
## 1006 0.1162005 109.1121 0.162 second_trace 3
## 1007 0.1162005 109.1121 0.162 second_trace 3
## 1008 0.1162005 109.1121 0.162 second_trace 3
## 1009 0.1162005 109.1121 0.162 second_trace 3
## 1010 0.1162005 109.1121 0.162 second_trace 3
## 1011 0.1162005 109.1121 0.162 second_trace 3
## 1012 0.1162005 109.1121 0.162 second_trace 3
## 1013 0.1162005 109.1121 0.162 second_trace 3
## 1014 0.1162005 109.1121 0.162 second_trace 3
## 1015 0.1162005 109.1121 0.162 second_trace 3
## 1016 0.1162005 109.1121 0.162 second_trace 3
## 1017 0.1162005 109.1121 0.162 second_trace 3
## 1018 0.1162005 109.1121 0.162 second_trace 3
## 1019 0.1162005 109.1121 0.162 second_trace 3
## 1020 0.1162005 109.1121 0.162 second_trace 3
## 1021 0.1162005 109.1121 0.162 second_trace 3
## 1022 0.1162005 109.1121 0.162 second_trace 3
## 1023 0.1162005 109.1121 0.162 second_trace 3
## 1024 0.1162005 109.1121 0.162 second_trace 3
## 1025 0.1162005 109.1121 0.162 second_trace 3
## 1026 0.1162005 109.1121 0.162 second_trace 3
## 1027 0.1162005 109.1121 0.162 second_trace 3
## 1028 0.1162005 109.1121 0.162 second_trace 3
## 1029 0.1162005 109.1121 0.162 second_trace 3
## 1030 0.1162005 109.1121 0.162 second_trace 3
## 1031 0.1162005 109.1121 0.162 second_trace 3
## 1032 0.1162005 109.1121 0.162 second_trace 3
## 1033 0.1162005 109.1121 0.162 second_trace 3
## 1034 0.1162005 109.1121 0.162 second_trace 3
## 1035 0.1162005 109.1121 0.162 second_trace 3
## 1036 0.1162005 109.1121 0.162 second_trace 3
## 1037 0.1162005 109.1121 0.162 second_trace 3
## 1038 0.1162005 109.1121 0.162 second_trace 3
## 1039 0.1162005 109.1121 0.162 second_trace 3
## 1040 0.1162005 109.1121 0.162 mif1 3
## 1041 0.1162005 109.1121 0.162 start 3
## 1042 0.1162005 109.1121 0.162 first_trace 3
## 1043 0.1162005 109.1121 0.162 first_trace 3
## 1044 0.1162005 109.1121 0.162 first_trace 3
## 1045 0.1162005 109.1121 0.162 first_trace 3
## 1046 0.1162005 109.1121 0.162 first_trace 3
## 1047 0.1162005 109.1121 0.162 first_trace 3
## 1048 0.1162005 109.1121 0.162 first_trace 3
## 1049 0.1162005 109.1121 0.162 first_trace 3
## 1050 0.1162005 109.1121 0.162 first_trace 3
## 1051 0.1162005 109.1121 0.162 first_trace 3
## 1052 0.1162005 109.1121 0.162 first_trace 3
## 1053 0.1162005 109.1121 0.162 first_trace 3
## 1054 0.1162005 109.1121 0.162 first_trace 3
## 1055 0.1162005 109.1121 0.162 first_trace 3
## 1056 0.1162005 109.1121 0.162 first_trace 3
## 1057 0.1162005 109.1121 0.162 first_trace 3
## 1058 0.1162005 109.1121 0.162 first_trace 3
## 1059 0.1162005 109.1121 0.162 first_trace 3
## 1060 0.1162005 109.1121 0.162 first_trace 3
## 1061 0.1162005 109.1121 0.162 first_trace 3
## 1062 0.1162005 109.1121 0.162 first_trace 3
## 1063 0.1162005 109.1121 0.162 first_trace 3
## 1064 0.1162005 109.1121 0.162 first_trace 3
## 1065 0.1162005 109.1121 0.162 first_trace 3
## 1066 0.1162005 109.1121 0.162 first_trace 3
## 1067 0.1162005 109.1121 0.162 first_trace 3
## 1068 0.1162005 109.1121 0.162 first_trace 3
## 1069 0.1162005 109.1121 0.162 first_trace 3
## 1070 0.1162005 109.1121 0.162 first_trace 3
## 1071 0.1162005 109.1121 0.162 first_trace 3
## 1072 0.1162005 109.1121 0.162 first_trace 3
## 1073 0.1162005 109.1121 0.162 first_trace 3
## 1074 0.1162005 109.1121 0.162 first_trace 3
## 1075 0.1162005 109.1121 0.162 first_trace 3
## 1076 0.1162005 109.1121 0.162 first_trace 3
## 1077 0.1162005 109.1121 0.162 first_trace 3
## 1078 0.1162005 109.1121 0.162 first_trace 3
## 1079 0.1162005 109.1121 0.162 first_trace 3
## 1080 0.1162005 109.1121 0.162 first_trace 3
## 1081 0.1162005 109.1121 0.162 first_trace 3
## 1082 0.1162005 109.1121 0.162 first_trace 3
## 1083 0.1162005 109.1121 0.162 first_trace 3
## 1084 0.1162005 109.1121 0.162 first_trace 3
## 1085 0.1162005 109.1121 0.162 first_trace 3
## 1086 0.1162005 109.1121 0.162 first_trace 3
## 1087 0.1162005 109.1121 0.162 first_trace 3
## 1088 0.1162005 109.1121 0.162 first_trace 3
## 1089 0.1162005 109.1121 0.162 first_trace 3
## 1090 0.1162005 109.1121 0.162 first_trace 3
## 1091 0.1162005 109.1121 0.162 first_trace 3
## 1092 0.1162005 109.1121 0.162 first_trace 3
## 1093 0.1162005 109.1121 0.162 second_trace 3
## 1094 0.1162005 109.1121 0.162 second_trace 3
## 1095 0.1162005 109.1121 0.162 second_trace 3
## 1096 0.1162005 109.1121 0.162 second_trace 3
## 1097 0.1162005 109.1121 0.162 second_trace 3
## 1098 0.1162005 109.1121 0.162 second_trace 3
## 1099 0.1162005 109.1121 0.162 second_trace 3
## 1100 0.1162005 109.1121 0.162 second_trace 3
## 1101 0.1162005 109.1121 0.162 second_trace 3
## 1102 0.1162005 109.1121 0.162 second_trace 3
## 1103 0.1162005 109.1121 0.162 second_trace 3
## 1104 0.1162005 109.1121 0.162 second_trace 3
## 1105 0.1162005 109.1121 0.162 second_trace 3
## 1106 0.1162005 109.1121 0.162 second_trace 3
## 1107 0.1162005 109.1121 0.162 second_trace 3
## 1108 0.1162005 109.1121 0.162 second_trace 3
## 1109 0.1162005 109.1121 0.162 second_trace 3
## 1110 0.1162005 109.1121 0.162 second_trace 3
## 1111 0.1162005 109.1121 0.162 second_trace 3
## 1112 0.1162005 109.1121 0.162 second_trace 3
## 1113 0.1162005 109.1121 0.162 second_trace 3
## 1114 0.1162005 109.1121 0.162 second_trace 3
## 1115 0.1162005 109.1121 0.162 second_trace 3
## 1116 0.1162005 109.1121 0.162 second_trace 3
## 1117 0.1162005 109.1121 0.162 second_trace 3
## 1118 0.1162005 109.1121 0.162 second_trace 3
## 1119 0.1162005 109.1121 0.162 second_trace 3
## 1120 0.1162005 109.1121 0.162 second_trace 3
## 1121 0.1162005 109.1121 0.162 second_trace 3
## 1122 0.1162005 109.1121 0.162 second_trace 3
## 1123 0.1162005 109.1121 0.162 second_trace 3
## 1124 0.1162005 109.1121 0.162 second_trace 3
## 1125 0.1162005 109.1121 0.162 second_trace 3
## 1126 0.1162005 109.1121 0.162 second_trace 3
## 1127 0.1162005 109.1121 0.162 second_trace 3
## 1128 0.1162005 109.1121 0.162 second_trace 3
## 1129 0.1162005 109.1121 0.162 second_trace 3
## 1130 0.1162005 109.1121 0.162 second_trace 3
## 1131 0.1162005 109.1121 0.162 second_trace 3
## 1132 0.1162005 109.1121 0.162 second_trace 3
## 1133 0.1162005 109.1121 0.162 second_trace 3
## 1134 0.1162005 109.1121 0.162 second_trace 3
## 1135 0.1162005 109.1121 0.162 second_trace 3
## 1136 0.1162005 109.1121 0.162 second_trace 3
## 1137 0.1162005 109.1121 0.162 second_trace 3
## 1138 0.1162005 109.1121 0.162 second_trace 3
## 1139 0.1162005 109.1121 0.162 second_trace 3
## 1140 0.1162005 109.1121 0.162 second_trace 3
## 1141 0.1162005 109.1121 0.162 second_trace 3
## 1142 0.1162005 109.1121 0.162 second_trace 3
## 1143 0.1162005 109.1121 0.162 second_trace 3
## 1144 0.1162005 109.1121 0.162 mif1 3
## 1145 0.1162005 109.1121 0.162 start 3
## 1146 0.1162005 109.1121 0.162 first_trace 3
## 1147 0.1162005 109.1121 0.162 first_trace 3
## 1148 0.1162005 109.1121 0.162 first_trace 3
## 1149 0.1162005 109.1121 0.162 first_trace 3
## 1150 0.1162005 109.1121 0.162 first_trace 3
## 1151 0.1162005 109.1121 0.162 first_trace 3
## 1152 0.1162005 109.1121 0.162 first_trace 3
## 1153 0.1162005 109.1121 0.162 first_trace 3
## 1154 0.1162005 109.1121 0.162 first_trace 3
## 1155 0.1162005 109.1121 0.162 first_trace 3
## 1156 0.1162005 109.1121 0.162 first_trace 3
## 1157 0.1162005 109.1121 0.162 first_trace 3
## 1158 0.1162005 109.1121 0.162 first_trace 3
## 1159 0.1162005 109.1121 0.162 first_trace 3
## 1160 0.1162005 109.1121 0.162 first_trace 3
## 1161 0.1162005 109.1121 0.162 first_trace 3
## 1162 0.1162005 109.1121 0.162 first_trace 3
## 1163 0.1162005 109.1121 0.162 first_trace 3
## 1164 0.1162005 109.1121 0.162 first_trace 3
## 1165 0.1162005 109.1121 0.162 first_trace 3
## 1166 0.1162005 109.1121 0.162 first_trace 3
## 1167 0.1162005 109.1121 0.162 first_trace 3
## 1168 0.1162005 109.1121 0.162 first_trace 3
## 1169 0.1162005 109.1121 0.162 first_trace 3
## 1170 0.1162005 109.1121 0.162 first_trace 3
## 1171 0.1162005 109.1121 0.162 first_trace 3
## 1172 0.1162005 109.1121 0.162 first_trace 3
## 1173 0.1162005 109.1121 0.162 first_trace 3
## 1174 0.1162005 109.1121 0.162 first_trace 3
## 1175 0.1162005 109.1121 0.162 first_trace 3
## 1176 0.1162005 109.1121 0.162 first_trace 3
## 1177 0.1162005 109.1121 0.162 first_trace 3
## 1178 0.1162005 109.1121 0.162 first_trace 3
## 1179 0.1162005 109.1121 0.162 first_trace 3
## 1180 0.1162005 109.1121 0.162 first_trace 3
## 1181 0.1162005 109.1121 0.162 first_trace 3
## 1182 0.1162005 109.1121 0.162 first_trace 3
## 1183 0.1162005 109.1121 0.162 first_trace 3
## 1184 0.1162005 109.1121 0.162 first_trace 3
## 1185 0.1162005 109.1121 0.162 first_trace 3
## 1186 0.1162005 109.1121 0.162 first_trace 3
## 1187 0.1162005 109.1121 0.162 first_trace 3
## 1188 0.1162005 109.1121 0.162 first_trace 3
## 1189 0.1162005 109.1121 0.162 first_trace 3
## 1190 0.1162005 109.1121 0.162 first_trace 3
## 1191 0.1162005 109.1121 0.162 first_trace 3
## 1192 0.1162005 109.1121 0.162 first_trace 3
## 1193 0.1162005 109.1121 0.162 first_trace 3
## 1194 0.1162005 109.1121 0.162 first_trace 3
## 1195 0.1162005 109.1121 0.162 first_trace 3
## 1196 0.1162005 109.1121 0.162 first_trace 3
## 1197 0.1162005 109.1121 0.162 second_trace 3
## 1198 0.1162005 109.1121 0.162 second_trace 3
## 1199 0.1162005 109.1121 0.162 second_trace 3
## 1200 0.1162005 109.1121 0.162 second_trace 3
## 1201 0.1162005 109.1121 0.162 second_trace 3
## 1202 0.1162005 109.1121 0.162 second_trace 3
## 1203 0.1162005 109.1121 0.162 second_trace 3
## 1204 0.1162005 109.1121 0.162 second_trace 3
## 1205 0.1162005 109.1121 0.162 second_trace 3
## 1206 0.1162005 109.1121 0.162 second_trace 3
## 1207 0.1162005 109.1121 0.162 second_trace 3
## 1208 0.1162005 109.1121 0.162 second_trace 3
## 1209 0.1162005 109.1121 0.162 second_trace 3
## 1210 0.1162005 109.1121 0.162 second_trace 3
## 1211 0.1162005 109.1121 0.162 second_trace 3
## 1212 0.1162005 109.1121 0.162 second_trace 3
## 1213 0.1162005 109.1121 0.162 second_trace 3
## 1214 0.1162005 109.1121 0.162 second_trace 3
## 1215 0.1162005 109.1121 0.162 second_trace 3
## 1216 0.1162005 109.1121 0.162 second_trace 3
## 1217 0.1162005 109.1121 0.162 second_trace 3
## 1218 0.1162005 109.1121 0.162 second_trace 3
## 1219 0.1162005 109.1121 0.162 second_trace 3
## 1220 0.1162005 109.1121 0.162 second_trace 3
## 1221 0.1162005 109.1121 0.162 second_trace 3
## 1222 0.1162005 109.1121 0.162 second_trace 3
## 1223 0.1162005 109.1121 0.162 second_trace 3
## 1224 0.1162005 109.1121 0.162 second_trace 3
## 1225 0.1162005 109.1121 0.162 second_trace 3
## 1226 0.1162005 109.1121 0.162 second_trace 3
## 1227 0.1162005 109.1121 0.162 second_trace 3
## 1228 0.1162005 109.1121 0.162 second_trace 3
## 1229 0.1162005 109.1121 0.162 second_trace 3
## 1230 0.1162005 109.1121 0.162 second_trace 3
## 1231 0.1162005 109.1121 0.162 second_trace 3
## 1232 0.1162005 109.1121 0.162 second_trace 3
## 1233 0.1162005 109.1121 0.162 second_trace 3
## 1234 0.1162005 109.1121 0.162 second_trace 3
## 1235 0.1162005 109.1121 0.162 second_trace 3
## 1236 0.1162005 109.1121 0.162 second_trace 3
## 1237 0.1162005 109.1121 0.162 second_trace 3
## 1238 0.1162005 109.1121 0.162 second_trace 3
## 1239 0.1162005 109.1121 0.162 second_trace 3
## 1240 0.1162005 109.1121 0.162 second_trace 3
## 1241 0.1162005 109.1121 0.162 second_trace 3
## 1242 0.1162005 109.1121 0.162 second_trace 3
## 1243 0.1162005 109.1121 0.162 second_trace 3
## 1244 0.1162005 109.1121 0.162 second_trace 3
## 1245 0.1162005 109.1121 0.162 second_trace 3
## 1246 0.1162005 109.1121 0.162 second_trace 3
## 1247 0.1162005 109.1121 0.162 second_trace 3
## 1248 0.1162005 109.1121 0.162 mif1 3
## 1249 0.1162005 109.1121 0.162 start 3
## 1250 0.1162005 109.1121 0.162 first_trace 3
## 1251 0.1162005 109.1121 0.162 first_trace 3
## 1252 0.1162005 109.1121 0.162 first_trace 3
## 1253 0.1162005 109.1121 0.162 first_trace 3
## 1254 0.1162005 109.1121 0.162 first_trace 3
## 1255 0.1162005 109.1121 0.162 first_trace 3
## 1256 0.1162005 109.1121 0.162 first_trace 3
## 1257 0.1162005 109.1121 0.162 first_trace 3
## 1258 0.1162005 109.1121 0.162 first_trace 3
## 1259 0.1162005 109.1121 0.162 first_trace 3
## 1260 0.1162005 109.1121 0.162 first_trace 3
## 1261 0.1162005 109.1121 0.162 first_trace 3
## 1262 0.1162005 109.1121 0.162 first_trace 3
## 1263 0.1162005 109.1121 0.162 first_trace 3
## 1264 0.1162005 109.1121 0.162 first_trace 3
## 1265 0.1162005 109.1121 0.162 first_trace 3
## 1266 0.1162005 109.1121 0.162 first_trace 3
## 1267 0.1162005 109.1121 0.162 first_trace 3
## 1268 0.1162005 109.1121 0.162 first_trace 3
## 1269 0.1162005 109.1121 0.162 first_trace 3
## 1270 0.1162005 109.1121 0.162 first_trace 3
## 1271 0.1162005 109.1121 0.162 first_trace 3
## 1272 0.1162005 109.1121 0.162 first_trace 3
## 1273 0.1162005 109.1121 0.162 first_trace 3
## 1274 0.1162005 109.1121 0.162 first_trace 3
## 1275 0.1162005 109.1121 0.162 first_trace 3
## 1276 0.1162005 109.1121 0.162 first_trace 3
## 1277 0.1162005 109.1121 0.162 first_trace 3
## 1278 0.1162005 109.1121 0.162 first_trace 3
## 1279 0.1162005 109.1121 0.162 first_trace 3
## 1280 0.1162005 109.1121 0.162 first_trace 3
## 1281 0.1162005 109.1121 0.162 first_trace 3
## 1282 0.1162005 109.1121 0.162 first_trace 3
## 1283 0.1162005 109.1121 0.162 first_trace 3
## 1284 0.1162005 109.1121 0.162 first_trace 3
## 1285 0.1162005 109.1121 0.162 first_trace 3
## 1286 0.1162005 109.1121 0.162 first_trace 3
## 1287 0.1162005 109.1121 0.162 first_trace 3
## 1288 0.1162005 109.1121 0.162 first_trace 3
## 1289 0.1162005 109.1121 0.162 first_trace 3
## 1290 0.1162005 109.1121 0.162 first_trace 3
## 1291 0.1162005 109.1121 0.162 first_trace 3
## 1292 0.1162005 109.1121 0.162 first_trace 3
## 1293 0.1162005 109.1121 0.162 first_trace 3
## 1294 0.1162005 109.1121 0.162 first_trace 3
## 1295 0.1162005 109.1121 0.162 first_trace 3
## 1296 0.1162005 109.1121 0.162 first_trace 3
## 1297 0.1162005 109.1121 0.162 first_trace 3
## 1298 0.1162005 109.1121 0.162 first_trace 3
## 1299 0.1162005 109.1121 0.162 first_trace 3
## 1300 0.1162005 109.1121 0.162 first_trace 3
## 1301 0.1162005 109.1121 0.162 second_trace 3
## 1302 0.1162005 109.1121 0.162 second_trace 3
## 1303 0.1162005 109.1121 0.162 second_trace 3
## 1304 0.1162005 109.1121 0.162 second_trace 3
## 1305 0.1162005 109.1121 0.162 second_trace 3
## 1306 0.1162005 109.1121 0.162 second_trace 3
## 1307 0.1162005 109.1121 0.162 second_trace 3
## 1308 0.1162005 109.1121 0.162 second_trace 3
## 1309 0.1162005 109.1121 0.162 second_trace 3
## 1310 0.1162005 109.1121 0.162 second_trace 3
## 1311 0.1162005 109.1121 0.162 second_trace 3
## 1312 0.1162005 109.1121 0.162 second_trace 3
## 1313 0.1162005 109.1121 0.162 second_trace 3
## 1314 0.1162005 109.1121 0.162 second_trace 3
## 1315 0.1162005 109.1121 0.162 second_trace 3
## 1316 0.1162005 109.1121 0.162 second_trace 3
## 1317 0.1162005 109.1121 0.162 second_trace 3
## 1318 0.1162005 109.1121 0.162 second_trace 3
## 1319 0.1162005 109.1121 0.162 second_trace 3
## 1320 0.1162005 109.1121 0.162 second_trace 3
## 1321 0.1162005 109.1121 0.162 second_trace 3
## 1322 0.1162005 109.1121 0.162 second_trace 3
## 1323 0.1162005 109.1121 0.162 second_trace 3
## 1324 0.1162005 109.1121 0.162 second_trace 3
## 1325 0.1162005 109.1121 0.162 second_trace 3
## 1326 0.1162005 109.1121 0.162 second_trace 3
## 1327 0.1162005 109.1121 0.162 second_trace 3
## 1328 0.1162005 109.1121 0.162 second_trace 3
## 1329 0.1162005 109.1121 0.162 second_trace 3
## 1330 0.1162005 109.1121 0.162 second_trace 3
## 1331 0.1162005 109.1121 0.162 second_trace 3
## 1332 0.1162005 109.1121 0.162 second_trace 3
## 1333 0.1162005 109.1121 0.162 second_trace 3
## 1334 0.1162005 109.1121 0.162 second_trace 3
## 1335 0.1162005 109.1121 0.162 second_trace 3
## 1336 0.1162005 109.1121 0.162 second_trace 3
## 1337 0.1162005 109.1121 0.162 second_trace 3
## 1338 0.1162005 109.1121 0.162 second_trace 3
## 1339 0.1162005 109.1121 0.162 second_trace 3
## 1340 0.1162005 109.1121 0.162 second_trace 3
## 1341 0.1162005 109.1121 0.162 second_trace 3
## 1342 0.1162005 109.1121 0.162 second_trace 3
## 1343 0.1162005 109.1121 0.162 second_trace 3
## 1344 0.1162005 109.1121 0.162 second_trace 3
## 1345 0.1162005 109.1121 0.162 second_trace 3
## 1346 0.1162005 109.1121 0.162 second_trace 3
## 1347 0.1162005 109.1121 0.162 second_trace 3
## 1348 0.1162005 109.1121 0.162 second_trace 3
## 1349 0.1162005 109.1121 0.162 second_trace 3
## 1350 0.1162005 109.1121 0.162 second_trace 3
## 1351 0.1162005 109.1121 0.162 second_trace 3
## 1352 0.1162005 109.1121 0.162 mif1 3
## 1353 0.1162005 109.1121 0.162 start 3
## 1354 0.1162005 109.1121 0.162 first_trace 3
## 1355 0.1162005 109.1121 0.162 first_trace 3
## 1356 0.1162005 109.1121 0.162 first_trace 3
## 1357 0.1162005 109.1121 0.162 first_trace 3
## 1358 0.1162005 109.1121 0.162 first_trace 3
## 1359 0.1162005 109.1121 0.162 first_trace 3
## 1360 0.1162005 109.1121 0.162 first_trace 3
## 1361 0.1162005 109.1121 0.162 first_trace 3
## 1362 0.1162005 109.1121 0.162 first_trace 3
## 1363 0.1162005 109.1121 0.162 first_trace 3
## 1364 0.1162005 109.1121 0.162 first_trace 3
## 1365 0.1162005 109.1121 0.162 first_trace 3
## 1366 0.1162005 109.1121 0.162 first_trace 3
## 1367 0.1162005 109.1121 0.162 first_trace 3
## 1368 0.1162005 109.1121 0.162 first_trace 3
## 1369 0.1162005 109.1121 0.162 first_trace 3
## 1370 0.1162005 109.1121 0.162 first_trace 3
## 1371 0.1162005 109.1121 0.162 first_trace 3
## 1372 0.1162005 109.1121 0.162 first_trace 3
## 1373 0.1162005 109.1121 0.162 first_trace 3
## 1374 0.1162005 109.1121 0.162 first_trace 3
## 1375 0.1162005 109.1121 0.162 first_trace 3
## 1376 0.1162005 109.1121 0.162 first_trace 3
## 1377 0.1162005 109.1121 0.162 first_trace 3
## 1378 0.1162005 109.1121 0.162 first_trace 3
## 1379 0.1162005 109.1121 0.162 first_trace 3
## 1380 0.1162005 109.1121 0.162 first_trace 3
## 1381 0.1162005 109.1121 0.162 first_trace 3
## 1382 0.1162005 109.1121 0.162 first_trace 3
## 1383 0.1162005 109.1121 0.162 first_trace 3
## 1384 0.1162005 109.1121 0.162 first_trace 3
## 1385 0.1162005 109.1121 0.162 first_trace 3
## 1386 0.1162005 109.1121 0.162 first_trace 3
## 1387 0.1162005 109.1121 0.162 first_trace 3
## 1388 0.1162005 109.1121 0.162 first_trace 3
## 1389 0.1162005 109.1121 0.162 first_trace 3
## 1390 0.1162005 109.1121 0.162 first_trace 3
## 1391 0.1162005 109.1121 0.162 first_trace 3
## 1392 0.1162005 109.1121 0.162 first_trace 3
## 1393 0.1162005 109.1121 0.162 first_trace 3
## 1394 0.1162005 109.1121 0.162 first_trace 3
## 1395 0.1162005 109.1121 0.162 first_trace 3
## 1396 0.1162005 109.1121 0.162 first_trace 3
## 1397 0.1162005 109.1121 0.162 first_trace 3
## 1398 0.1162005 109.1121 0.162 first_trace 3
## 1399 0.1162005 109.1121 0.162 first_trace 3
## 1400 0.1162005 109.1121 0.162 first_trace 3
## 1401 0.1162005 109.1121 0.162 first_trace 3
## 1402 0.1162005 109.1121 0.162 first_trace 3
## 1403 0.1162005 109.1121 0.162 first_trace 3
## 1404 0.1162005 109.1121 0.162 first_trace 3
## 1405 0.1162005 109.1121 0.162 second_trace 3
## 1406 0.1162005 109.1121 0.162 second_trace 3
## 1407 0.1162005 109.1121 0.162 second_trace 3
## 1408 0.1162005 109.1121 0.162 second_trace 3
## 1409 0.1162005 109.1121 0.162 second_trace 3
## 1410 0.1162005 109.1121 0.162 second_trace 3
## 1411 0.1162005 109.1121 0.162 second_trace 3
## 1412 0.1162005 109.1121 0.162 second_trace 3
## 1413 0.1162005 109.1121 0.162 second_trace 3
## 1414 0.1162005 109.1121 0.162 second_trace 3
## 1415 0.1162005 109.1121 0.162 second_trace 3
## 1416 0.1162005 109.1121 0.162 second_trace 3
## 1417 0.1162005 109.1121 0.162 second_trace 3
## 1418 0.1162005 109.1121 0.162 second_trace 3
## 1419 0.1162005 109.1121 0.162 second_trace 3
## 1420 0.1162005 109.1121 0.162 second_trace 3
## 1421 0.1162005 109.1121 0.162 second_trace 3
## 1422 0.1162005 109.1121 0.162 second_trace 3
## 1423 0.1162005 109.1121 0.162 second_trace 3
## 1424 0.1162005 109.1121 0.162 second_trace 3
## 1425 0.1162005 109.1121 0.162 second_trace 3
## 1426 0.1162005 109.1121 0.162 second_trace 3
## 1427 0.1162005 109.1121 0.162 second_trace 3
## 1428 0.1162005 109.1121 0.162 second_trace 3
## 1429 0.1162005 109.1121 0.162 second_trace 3
## 1430 0.1162005 109.1121 0.162 second_trace 3
## 1431 0.1162005 109.1121 0.162 second_trace 3
## 1432 0.1162005 109.1121 0.162 second_trace 3
## 1433 0.1162005 109.1121 0.162 second_trace 3
## 1434 0.1162005 109.1121 0.162 second_trace 3
## 1435 0.1162005 109.1121 0.162 second_trace 3
## 1436 0.1162005 109.1121 0.162 second_trace 3
## 1437 0.1162005 109.1121 0.162 second_trace 3
## 1438 0.1162005 109.1121 0.162 second_trace 3
## 1439 0.1162005 109.1121 0.162 second_trace 3
## 1440 0.1162005 109.1121 0.162 second_trace 3
## 1441 0.1162005 109.1121 0.162 second_trace 3
## 1442 0.1162005 109.1121 0.162 second_trace 3
## 1443 0.1162005 109.1121 0.162 second_trace 3
## 1444 0.1162005 109.1121 0.162 second_trace 3
## 1445 0.1162005 109.1121 0.162 second_trace 3
## 1446 0.1162005 109.1121 0.162 second_trace 3
## 1447 0.1162005 109.1121 0.162 second_trace 3
## 1448 0.1162005 109.1121 0.162 second_trace 3
## 1449 0.1162005 109.1121 0.162 second_trace 3
## 1450 0.1162005 109.1121 0.162 second_trace 3
## 1451 0.1162005 109.1121 0.162 second_trace 3
## 1452 0.1162005 109.1121 0.162 second_trace 3
## 1453 0.1162005 109.1121 0.162 second_trace 3
## 1454 0.1162005 109.1121 0.162 second_trace 3
## 1455 0.1162005 109.1121 0.162 second_trace 3
## 1456 0.1162005 109.1121 0.162 mif1 3
## 1457 0.1162005 109.1121 0.162 start 3
## 1458 0.1162005 109.1121 0.162 first_trace 3
## 1459 0.1162005 109.1121 0.162 first_trace 3
## 1460 0.1162005 109.1121 0.162 first_trace 3
## 1461 0.1162005 109.1121 0.162 first_trace 3
## 1462 0.1162005 109.1121 0.162 first_trace 3
## 1463 0.1162005 109.1121 0.162 first_trace 3
## 1464 0.1162005 109.1121 0.162 first_trace 3
## 1465 0.1162005 109.1121 0.162 first_trace 3
## 1466 0.1162005 109.1121 0.162 first_trace 3
## 1467 0.1162005 109.1121 0.162 first_trace 3
## 1468 0.1162005 109.1121 0.162 first_trace 3
## 1469 0.1162005 109.1121 0.162 first_trace 3
## 1470 0.1162005 109.1121 0.162 first_trace 3
## 1471 0.1162005 109.1121 0.162 first_trace 3
## 1472 0.1162005 109.1121 0.162 first_trace 3
## 1473 0.1162005 109.1121 0.162 first_trace 3
## 1474 0.1162005 109.1121 0.162 first_trace 3
## 1475 0.1162005 109.1121 0.162 first_trace 3
## 1476 0.1162005 109.1121 0.162 first_trace 3
## 1477 0.1162005 109.1121 0.162 first_trace 3
## 1478 0.1162005 109.1121 0.162 first_trace 3
## 1479 0.1162005 109.1121 0.162 first_trace 3
## 1480 0.1162005 109.1121 0.162 first_trace 3
## 1481 0.1162005 109.1121 0.162 first_trace 3
## 1482 0.1162005 109.1121 0.162 first_trace 3
## 1483 0.1162005 109.1121 0.162 first_trace 3
## 1484 0.1162005 109.1121 0.162 first_trace 3
## 1485 0.1162005 109.1121 0.162 first_trace 3
## 1486 0.1162005 109.1121 0.162 first_trace 3
## 1487 0.1162005 109.1121 0.162 first_trace 3
## 1488 0.1162005 109.1121 0.162 first_trace 3
## 1489 0.1162005 109.1121 0.162 first_trace 3
## 1490 0.1162005 109.1121 0.162 first_trace 3
## 1491 0.1162005 109.1121 0.162 first_trace 3
## 1492 0.1162005 109.1121 0.162 first_trace 3
## 1493 0.1162005 109.1121 0.162 first_trace 3
## 1494 0.1162005 109.1121 0.162 first_trace 3
## 1495 0.1162005 109.1121 0.162 first_trace 3
## 1496 0.1162005 109.1121 0.162 first_trace 3
## 1497 0.1162005 109.1121 0.162 first_trace 3
## 1498 0.1162005 109.1121 0.162 first_trace 3
## 1499 0.1162005 109.1121 0.162 first_trace 3
## 1500 0.1162005 109.1121 0.162 first_trace 3
## 1501 0.1162005 109.1121 0.162 first_trace 3
## 1502 0.1162005 109.1121 0.162 first_trace 3
## 1503 0.1162005 109.1121 0.162 first_trace 3
## 1504 0.1162005 109.1121 0.162 first_trace 3
## 1505 0.1162005 109.1121 0.162 first_trace 3
## 1506 0.1162005 109.1121 0.162 first_trace 3
## 1507 0.1162005 109.1121 0.162 first_trace 3
## 1508 0.1162005 109.1121 0.162 first_trace 3
## 1509 0.1162005 109.1121 0.162 second_trace 3
## 1510 0.1162005 109.1121 0.162 second_trace 3
## 1511 0.1162005 109.1121 0.162 second_trace 3
## 1512 0.1162005 109.1121 0.162 second_trace 3
## 1513 0.1162005 109.1121 0.162 second_trace 3
## 1514 0.1162005 109.1121 0.162 second_trace 3
## 1515 0.1162005 109.1121 0.162 second_trace 3
## 1516 0.1162005 109.1121 0.162 second_trace 3
## 1517 0.1162005 109.1121 0.162 second_trace 3
## 1518 0.1162005 109.1121 0.162 second_trace 3
## 1519 0.1162005 109.1121 0.162 second_trace 3
## 1520 0.1162005 109.1121 0.162 second_trace 3
## 1521 0.1162005 109.1121 0.162 second_trace 3
## 1522 0.1162005 109.1121 0.162 second_trace 3
## 1523 0.1162005 109.1121 0.162 second_trace 3
## 1524 0.1162005 109.1121 0.162 second_trace 3
## 1525 0.1162005 109.1121 0.162 second_trace 3
## 1526 0.1162005 109.1121 0.162 second_trace 3
## 1527 0.1162005 109.1121 0.162 second_trace 3
## 1528 0.1162005 109.1121 0.162 second_trace 3
## 1529 0.1162005 109.1121 0.162 second_trace 3
## 1530 0.1162005 109.1121 0.162 second_trace 3
## 1531 0.1162005 109.1121 0.162 second_trace 3
## 1532 0.1162005 109.1121 0.162 second_trace 3
## 1533 0.1162005 109.1121 0.162 second_trace 3
## 1534 0.1162005 109.1121 0.162 second_trace 3
## 1535 0.1162005 109.1121 0.162 second_trace 3
## 1536 0.1162005 109.1121 0.162 second_trace 3
## 1537 0.1162005 109.1121 0.162 second_trace 3
## 1538 0.1162005 109.1121 0.162 second_trace 3
## 1539 0.1162005 109.1121 0.162 second_trace 3
## 1540 0.1162005 109.1121 0.162 second_trace 3
## 1541 0.1162005 109.1121 0.162 second_trace 3
## 1542 0.1162005 109.1121 0.162 second_trace 3
## 1543 0.1162005 109.1121 0.162 second_trace 3
## 1544 0.1162005 109.1121 0.162 second_trace 3
## 1545 0.1162005 109.1121 0.162 second_trace 3
## 1546 0.1162005 109.1121 0.162 second_trace 3
## 1547 0.1162005 109.1121 0.162 second_trace 3
## 1548 0.1162005 109.1121 0.162 second_trace 3
## 1549 0.1162005 109.1121 0.162 second_trace 3
## 1550 0.1162005 109.1121 0.162 second_trace 3
## 1551 0.1162005 109.1121 0.162 second_trace 3
## 1552 0.1162005 109.1121 0.162 second_trace 3
## 1553 0.1162005 109.1121 0.162 second_trace 3
## 1554 0.1162005 109.1121 0.162 second_trace 3
## 1555 0.1162005 109.1121 0.162 second_trace 3
## 1556 0.1162005 109.1121 0.162 second_trace 3
## 1557 0.1162005 109.1121 0.162 second_trace 3
## 1558 0.1162005 109.1121 0.162 second_trace 3
## 1559 0.1162005 109.1121 0.162 second_trace 3
## 1560 0.1162005 109.1121 0.162 mif1 3
## 1561 0.1162005 109.1121 0.162 start 3
## 1562 0.1162005 109.1121 0.162 first_trace 3
## 1563 0.1162005 109.1121 0.162 first_trace 3
## 1564 0.1162005 109.1121 0.162 first_trace 3
## 1565 0.1162005 109.1121 0.162 first_trace 3
## 1566 0.1162005 109.1121 0.162 first_trace 3
## 1567 0.1162005 109.1121 0.162 first_trace 3
## 1568 0.1162005 109.1121 0.162 first_trace 3
## 1569 0.1162005 109.1121 0.162 first_trace 3
## 1570 0.1162005 109.1121 0.162 first_trace 3
## 1571 0.1162005 109.1121 0.162 first_trace 3
## 1572 0.1162005 109.1121 0.162 first_trace 3
## 1573 0.1162005 109.1121 0.162 first_trace 3
## 1574 0.1162005 109.1121 0.162 first_trace 3
## 1575 0.1162005 109.1121 0.162 first_trace 3
## 1576 0.1162005 109.1121 0.162 first_trace 3
## 1577 0.1162005 109.1121 0.162 first_trace 3
## 1578 0.1162005 109.1121 0.162 first_trace 3
## 1579 0.1162005 109.1121 0.162 first_trace 3
## 1580 0.1162005 109.1121 0.162 first_trace 3
## 1581 0.1162005 109.1121 0.162 first_trace 3
## 1582 0.1162005 109.1121 0.162 first_trace 3
## 1583 0.1162005 109.1121 0.162 first_trace 3
## 1584 0.1162005 109.1121 0.162 first_trace 3
## 1585 0.1162005 109.1121 0.162 first_trace 3
## 1586 0.1162005 109.1121 0.162 first_trace 3
## 1587 0.1162005 109.1121 0.162 first_trace 3
## 1588 0.1162005 109.1121 0.162 first_trace 3
## 1589 0.1162005 109.1121 0.162 first_trace 3
## 1590 0.1162005 109.1121 0.162 first_trace 3
## 1591 0.1162005 109.1121 0.162 first_trace 3
## 1592 0.1162005 109.1121 0.162 first_trace 3
## 1593 0.1162005 109.1121 0.162 first_trace 3
## 1594 0.1162005 109.1121 0.162 first_trace 3
## 1595 0.1162005 109.1121 0.162 first_trace 3
## 1596 0.1162005 109.1121 0.162 first_trace 3
## 1597 0.1162005 109.1121 0.162 first_trace 3
## 1598 0.1162005 109.1121 0.162 first_trace 3
## 1599 0.1162005 109.1121 0.162 first_trace 3
## 1600 0.1162005 109.1121 0.162 first_trace 3
## 1601 0.1162005 109.1121 0.162 first_trace 3
## 1602 0.1162005 109.1121 0.162 first_trace 3
## 1603 0.1162005 109.1121 0.162 first_trace 3
## 1604 0.1162005 109.1121 0.162 first_trace 3
## 1605 0.1162005 109.1121 0.162 first_trace 3
## 1606 0.1162005 109.1121 0.162 first_trace 3
## 1607 0.1162005 109.1121 0.162 first_trace 3
## 1608 0.1162005 109.1121 0.162 first_trace 3
## 1609 0.1162005 109.1121 0.162 first_trace 3
## 1610 0.1162005 109.1121 0.162 first_trace 3
## 1611 0.1162005 109.1121 0.162 first_trace 3
## 1612 0.1162005 109.1121 0.162 first_trace 3
## 1613 0.1162005 109.1121 0.162 second_trace 3
## 1614 0.1162005 109.1121 0.162 second_trace 3
## 1615 0.1162005 109.1121 0.162 second_trace 3
## 1616 0.1162005 109.1121 0.162 second_trace 3
## 1617 0.1162005 109.1121 0.162 second_trace 3
## 1618 0.1162005 109.1121 0.162 second_trace 3
## 1619 0.1162005 109.1121 0.162 second_trace 3
## 1620 0.1162005 109.1121 0.162 second_trace 3
## 1621 0.1162005 109.1121 0.162 second_trace 3
## 1622 0.1162005 109.1121 0.162 second_trace 3
## 1623 0.1162005 109.1121 0.162 second_trace 3
## 1624 0.1162005 109.1121 0.162 second_trace 3
## 1625 0.1162005 109.1121 0.162 second_trace 3
## 1626 0.1162005 109.1121 0.162 second_trace 3
## 1627 0.1162005 109.1121 0.162 second_trace 3
## 1628 0.1162005 109.1121 0.162 second_trace 3
## 1629 0.1162005 109.1121 0.162 second_trace 3
## 1630 0.1162005 109.1121 0.162 second_trace 3
## 1631 0.1162005 109.1121 0.162 second_trace 3
## 1632 0.1162005 109.1121 0.162 second_trace 3
## 1633 0.1162005 109.1121 0.162 second_trace 3
## 1634 0.1162005 109.1121 0.162 second_trace 3
## 1635 0.1162005 109.1121 0.162 second_trace 3
## 1636 0.1162005 109.1121 0.162 second_trace 3
## 1637 0.1162005 109.1121 0.162 second_trace 3
## 1638 0.1162005 109.1121 0.162 second_trace 3
## 1639 0.1162005 109.1121 0.162 second_trace 3
## 1640 0.1162005 109.1121 0.162 second_trace 3
## 1641 0.1162005 109.1121 0.162 second_trace 3
## 1642 0.1162005 109.1121 0.162 second_trace 3
## 1643 0.1162005 109.1121 0.162 second_trace 3
## 1644 0.1162005 109.1121 0.162 second_trace 3
## 1645 0.1162005 109.1121 0.162 second_trace 3
## 1646 0.1162005 109.1121 0.162 second_trace 3
## 1647 0.1162005 109.1121 0.162 second_trace 3
## 1648 0.1162005 109.1121 0.162 second_trace 3
## 1649 0.1162005 109.1121 0.162 second_trace 3
## 1650 0.1162005 109.1121 0.162 second_trace 3
## 1651 0.1162005 109.1121 0.162 second_trace 3
## 1652 0.1162005 109.1121 0.162 second_trace 3
## 1653 0.1162005 109.1121 0.162 second_trace 3
## 1654 0.1162005 109.1121 0.162 second_trace 3
## 1655 0.1162005 109.1121 0.162 second_trace 3
## 1656 0.1162005 109.1121 0.162 second_trace 3
## 1657 0.1162005 109.1121 0.162 second_trace 3
## 1658 0.1162005 109.1121 0.162 second_trace 3
## 1659 0.1162005 109.1121 0.162 second_trace 3
## 1660 0.1162005 109.1121 0.162 second_trace 3
## 1661 0.1162005 109.1121 0.162 second_trace 3
## 1662 0.1162005 109.1121 0.162 second_trace 3
## 1663 0.1162005 109.1121 0.162 second_trace 3
## 1664 0.1162005 109.1121 0.162 mif1 3
## 1665 0.1162005 109.1121 0.162 start 3
## 1666 0.1162005 109.1121 0.162 first_trace 3
## 1667 0.1162005 109.1121 0.162 first_trace 3
## 1668 0.1162005 109.1121 0.162 first_trace 3
## 1669 0.1162005 109.1121 0.162 first_trace 3
## 1670 0.1162005 109.1121 0.162 first_trace 3
## 1671 0.1162005 109.1121 0.162 first_trace 3
## 1672 0.1162005 109.1121 0.162 first_trace 3
## 1673 0.1162005 109.1121 0.162 first_trace 3
## 1674 0.1162005 109.1121 0.162 first_trace 3
## 1675 0.1162005 109.1121 0.162 first_trace 3
## 1676 0.1162005 109.1121 0.162 first_trace 3
## 1677 0.1162005 109.1121 0.162 first_trace 3
## 1678 0.1162005 109.1121 0.162 first_trace 3
## 1679 0.1162005 109.1121 0.162 first_trace 3
## 1680 0.1162005 109.1121 0.162 first_trace 3
## 1681 0.1162005 109.1121 0.162 first_trace 3
## 1682 0.1162005 109.1121 0.162 first_trace 3
## 1683 0.1162005 109.1121 0.162 first_trace 3
## 1684 0.1162005 109.1121 0.162 first_trace 3
## 1685 0.1162005 109.1121 0.162 first_trace 3
## 1686 0.1162005 109.1121 0.162 first_trace 3
## 1687 0.1162005 109.1121 0.162 first_trace 3
## 1688 0.1162005 109.1121 0.162 first_trace 3
## 1689 0.1162005 109.1121 0.162 first_trace 3
## 1690 0.1162005 109.1121 0.162 first_trace 3
## 1691 0.1162005 109.1121 0.162 first_trace 3
## 1692 0.1162005 109.1121 0.162 first_trace 3
## 1693 0.1162005 109.1121 0.162 first_trace 3
## 1694 0.1162005 109.1121 0.162 first_trace 3
## 1695 0.1162005 109.1121 0.162 first_trace 3
## 1696 0.1162005 109.1121 0.162 first_trace 3
## 1697 0.1162005 109.1121 0.162 first_trace 3
## 1698 0.1162005 109.1121 0.162 first_trace 3
## 1699 0.1162005 109.1121 0.162 first_trace 3
## 1700 0.1162005 109.1121 0.162 first_trace 3
## 1701 0.1162005 109.1121 0.162 first_trace 3
## 1702 0.1162005 109.1121 0.162 first_trace 3
## 1703 0.1162005 109.1121 0.162 first_trace 3
## 1704 0.1162005 109.1121 0.162 first_trace 3
## 1705 0.1162005 109.1121 0.162 first_trace 3
## 1706 0.1162005 109.1121 0.162 first_trace 3
## 1707 0.1162005 109.1121 0.162 first_trace 3
## 1708 0.1162005 109.1121 0.162 first_trace 3
## 1709 0.1162005 109.1121 0.162 first_trace 3
## 1710 0.1162005 109.1121 0.162 first_trace 3
## 1711 0.1162005 109.1121 0.162 first_trace 3
## 1712 0.1162005 109.1121 0.162 first_trace 3
## 1713 0.1162005 109.1121 0.162 first_trace 3
## 1714 0.1162005 109.1121 0.162 first_trace 3
## 1715 0.1162005 109.1121 0.162 first_trace 3
## 1716 0.1162005 109.1121 0.162 first_trace 3
## 1717 0.1162005 109.1121 0.162 second_trace 3
## 1718 0.1162005 109.1121 0.162 second_trace 3
## 1719 0.1162005 109.1121 0.162 second_trace 3
## 1720 0.1162005 109.1121 0.162 second_trace 3
## 1721 0.1162005 109.1121 0.162 second_trace 3
## 1722 0.1162005 109.1121 0.162 second_trace 3
## 1723 0.1162005 109.1121 0.162 second_trace 3
## 1724 0.1162005 109.1121 0.162 second_trace 3
## 1725 0.1162005 109.1121 0.162 second_trace 3
## 1726 0.1162005 109.1121 0.162 second_trace 3
## 1727 0.1162005 109.1121 0.162 second_trace 3
## 1728 0.1162005 109.1121 0.162 second_trace 3
## 1729 0.1162005 109.1121 0.162 second_trace 3
## 1730 0.1162005 109.1121 0.162 second_trace 3
## 1731 0.1162005 109.1121 0.162 second_trace 3
## 1732 0.1162005 109.1121 0.162 second_trace 3
## 1733 0.1162005 109.1121 0.162 second_trace 3
## 1734 0.1162005 109.1121 0.162 second_trace 3
## 1735 0.1162005 109.1121 0.162 second_trace 3
## 1736 0.1162005 109.1121 0.162 second_trace 3
## 1737 0.1162005 109.1121 0.162 second_trace 3
## 1738 0.1162005 109.1121 0.162 second_trace 3
## 1739 0.1162005 109.1121 0.162 second_trace 3
## 1740 0.1162005 109.1121 0.162 second_trace 3
## 1741 0.1162005 109.1121 0.162 second_trace 3
## 1742 0.1162005 109.1121 0.162 second_trace 3
## 1743 0.1162005 109.1121 0.162 second_trace 3
## 1744 0.1162005 109.1121 0.162 second_trace 3
## 1745 0.1162005 109.1121 0.162 second_trace 3
## 1746 0.1162005 109.1121 0.162 second_trace 3
## 1747 0.1162005 109.1121 0.162 second_trace 3
## 1748 0.1162005 109.1121 0.162 second_trace 3
## 1749 0.1162005 109.1121 0.162 second_trace 3
## 1750 0.1162005 109.1121 0.162 second_trace 3
## 1751 0.1162005 109.1121 0.162 second_trace 3
## 1752 0.1162005 109.1121 0.162 second_trace 3
## 1753 0.1162005 109.1121 0.162 second_trace 3
## 1754 0.1162005 109.1121 0.162 second_trace 3
## 1755 0.1162005 109.1121 0.162 second_trace 3
## 1756 0.1162005 109.1121 0.162 second_trace 3
## 1757 0.1162005 109.1121 0.162 second_trace 3
## 1758 0.1162005 109.1121 0.162 second_trace 3
## 1759 0.1162005 109.1121 0.162 second_trace 3
## 1760 0.1162005 109.1121 0.162 second_trace 3
## 1761 0.1162005 109.1121 0.162 second_trace 3
## 1762 0.1162005 109.1121 0.162 second_trace 3
## 1763 0.1162005 109.1121 0.162 second_trace 3
## 1764 0.1162005 109.1121 0.162 second_trace 3
## 1765 0.1162005 109.1121 0.162 second_trace 3
## 1766 0.1162005 109.1121 0.162 second_trace 3
## 1767 0.1162005 109.1121 0.162 second_trace 3
## 1768 0.1162005 109.1121 0.162 mif1 3
## 1769 0.1162005 109.1121 0.162 start 3
## 1770 0.1162005 109.1121 0.162 first_trace 3
## 1771 0.1162005 109.1121 0.162 first_trace 3
## 1772 0.1162005 109.1121 0.162 first_trace 3
## 1773 0.1162005 109.1121 0.162 first_trace 3
## 1774 0.1162005 109.1121 0.162 first_trace 3
## 1775 0.1162005 109.1121 0.162 first_trace 3
## 1776 0.1162005 109.1121 0.162 first_trace 3
## 1777 0.1162005 109.1121 0.162 first_trace 3
## 1778 0.1162005 109.1121 0.162 first_trace 3
## 1779 0.1162005 109.1121 0.162 first_trace 3
## 1780 0.1162005 109.1121 0.162 first_trace 3
## 1781 0.1162005 109.1121 0.162 first_trace 3
## 1782 0.1162005 109.1121 0.162 first_trace 3
## 1783 0.1162005 109.1121 0.162 first_trace 3
## 1784 0.1162005 109.1121 0.162 first_trace 3
## 1785 0.1162005 109.1121 0.162 first_trace 3
## 1786 0.1162005 109.1121 0.162 first_trace 3
## 1787 0.1162005 109.1121 0.162 first_trace 3
## 1788 0.1162005 109.1121 0.162 first_trace 3
## 1789 0.1162005 109.1121 0.162 first_trace 3
## 1790 0.1162005 109.1121 0.162 first_trace 3
## 1791 0.1162005 109.1121 0.162 first_trace 3
## 1792 0.1162005 109.1121 0.162 first_trace 3
## 1793 0.1162005 109.1121 0.162 first_trace 3
## 1794 0.1162005 109.1121 0.162 first_trace 3
## 1795 0.1162005 109.1121 0.162 first_trace 3
## 1796 0.1162005 109.1121 0.162 first_trace 3
## 1797 0.1162005 109.1121 0.162 first_trace 3
## 1798 0.1162005 109.1121 0.162 first_trace 3
## 1799 0.1162005 109.1121 0.162 first_trace 3
## 1800 0.1162005 109.1121 0.162 first_trace 3
## 1801 0.1162005 109.1121 0.162 first_trace 3
## 1802 0.1162005 109.1121 0.162 first_trace 3
## 1803 0.1162005 109.1121 0.162 first_trace 3
## 1804 0.1162005 109.1121 0.162 first_trace 3
## 1805 0.1162005 109.1121 0.162 first_trace 3
## 1806 0.1162005 109.1121 0.162 first_trace 3
## 1807 0.1162005 109.1121 0.162 first_trace 3
## 1808 0.1162005 109.1121 0.162 first_trace 3
## 1809 0.1162005 109.1121 0.162 first_trace 3
## 1810 0.1162005 109.1121 0.162 first_trace 3
## 1811 0.1162005 109.1121 0.162 first_trace 3
## 1812 0.1162005 109.1121 0.162 first_trace 3
## 1813 0.1162005 109.1121 0.162 first_trace 3
## 1814 0.1162005 109.1121 0.162 first_trace 3
## 1815 0.1162005 109.1121 0.162 first_trace 3
## 1816 0.1162005 109.1121 0.162 first_trace 3
## 1817 0.1162005 109.1121 0.162 first_trace 3
## 1818 0.1162005 109.1121 0.162 first_trace 3
## 1819 0.1162005 109.1121 0.162 first_trace 3
## 1820 0.1162005 109.1121 0.162 first_trace 3
## 1821 0.1162005 109.1121 0.162 second_trace 3
## 1822 0.1162005 109.1121 0.162 second_trace 3
## 1823 0.1162005 109.1121 0.162 second_trace 3
## 1824 0.1162005 109.1121 0.162 second_trace 3
## 1825 0.1162005 109.1121 0.162 second_trace 3
## 1826 0.1162005 109.1121 0.162 second_trace 3
## 1827 0.1162005 109.1121 0.162 second_trace 3
## 1828 0.1162005 109.1121 0.162 second_trace 3
## 1829 0.1162005 109.1121 0.162 second_trace 3
## 1830 0.1162005 109.1121 0.162 second_trace 3
## 1831 0.1162005 109.1121 0.162 second_trace 3
## 1832 0.1162005 109.1121 0.162 second_trace 3
## 1833 0.1162005 109.1121 0.162 second_trace 3
## 1834 0.1162005 109.1121 0.162 second_trace 3
## 1835 0.1162005 109.1121 0.162 second_trace 3
## 1836 0.1162005 109.1121 0.162 second_trace 3
## 1837 0.1162005 109.1121 0.162 second_trace 3
## 1838 0.1162005 109.1121 0.162 second_trace 3
## 1839 0.1162005 109.1121 0.162 second_trace 3
## 1840 0.1162005 109.1121 0.162 second_trace 3
## 1841 0.1162005 109.1121 0.162 second_trace 3
## 1842 0.1162005 109.1121 0.162 second_trace 3
## 1843 0.1162005 109.1121 0.162 second_trace 3
## 1844 0.1162005 109.1121 0.162 second_trace 3
## 1845 0.1162005 109.1121 0.162 second_trace 3
## 1846 0.1162005 109.1121 0.162 second_trace 3
## 1847 0.1162005 109.1121 0.162 second_trace 3
## 1848 0.1162005 109.1121 0.162 second_trace 3
## 1849 0.1162005 109.1121 0.162 second_trace 3
## 1850 0.1162005 109.1121 0.162 second_trace 3
## 1851 0.1162005 109.1121 0.162 second_trace 3
## 1852 0.1162005 109.1121 0.162 second_trace 3
## 1853 0.1162005 109.1121 0.162 second_trace 3
## 1854 0.1162005 109.1121 0.162 second_trace 3
## 1855 0.1162005 109.1121 0.162 second_trace 3
## 1856 0.1162005 109.1121 0.162 second_trace 3
## 1857 0.1162005 109.1121 0.162 second_trace 3
## 1858 0.1162005 109.1121 0.162 second_trace 3
## 1859 0.1162005 109.1121 0.162 second_trace 3
## 1860 0.1162005 109.1121 0.162 second_trace 3
## 1861 0.1162005 109.1121 0.162 second_trace 3
## 1862 0.1162005 109.1121 0.162 second_trace 3
## 1863 0.1162005 109.1121 0.162 second_trace 3
## 1864 0.1162005 109.1121 0.162 second_trace 3
## 1865 0.1162005 109.1121 0.162 second_trace 3
## 1866 0.1162005 109.1121 0.162 second_trace 3
## 1867 0.1162005 109.1121 0.162 second_trace 3
## 1868 0.1162005 109.1121 0.162 second_trace 3
## 1869 0.1162005 109.1121 0.162 second_trace 3
## 1870 0.1162005 109.1121 0.162 second_trace 3
## 1871 0.1162005 109.1121 0.162 second_trace 3
## 1872 0.1162005 109.1121 0.162 mif1 3
## 1873 0.1162005 109.1121 0.162 start 3
## 1874 0.1162005 109.1121 0.162 first_trace 3
## 1875 0.1162005 109.1121 0.162 first_trace 3
## 1876 0.1162005 109.1121 0.162 first_trace 3
## 1877 0.1162005 109.1121 0.162 first_trace 3
## 1878 0.1162005 109.1121 0.162 first_trace 3
## 1879 0.1162005 109.1121 0.162 first_trace 3
## 1880 0.1162005 109.1121 0.162 first_trace 3
## 1881 0.1162005 109.1121 0.162 first_trace 3
## 1882 0.1162005 109.1121 0.162 first_trace 3
## 1883 0.1162005 109.1121 0.162 first_trace 3
## 1884 0.1162005 109.1121 0.162 first_trace 3
## 1885 0.1162005 109.1121 0.162 first_trace 3
## 1886 0.1162005 109.1121 0.162 first_trace 3
## 1887 0.1162005 109.1121 0.162 first_trace 3
## 1888 0.1162005 109.1121 0.162 first_trace 3
## 1889 0.1162005 109.1121 0.162 first_trace 3
## 1890 0.1162005 109.1121 0.162 first_trace 3
## 1891 0.1162005 109.1121 0.162 first_trace 3
## 1892 0.1162005 109.1121 0.162 first_trace 3
## 1893 0.1162005 109.1121 0.162 first_trace 3
## 1894 0.1162005 109.1121 0.162 first_trace 3
## 1895 0.1162005 109.1121 0.162 first_trace 3
## 1896 0.1162005 109.1121 0.162 first_trace 3
## 1897 0.1162005 109.1121 0.162 first_trace 3
## 1898 0.1162005 109.1121 0.162 first_trace 3
## 1899 0.1162005 109.1121 0.162 first_trace 3
## 1900 0.1162005 109.1121 0.162 first_trace 3
## 1901 0.1162005 109.1121 0.162 first_trace 3
## 1902 0.1162005 109.1121 0.162 first_trace 3
## 1903 0.1162005 109.1121 0.162 first_trace 3
## 1904 0.1162005 109.1121 0.162 first_trace 3
## 1905 0.1162005 109.1121 0.162 first_trace 3
## 1906 0.1162005 109.1121 0.162 first_trace 3
## 1907 0.1162005 109.1121 0.162 first_trace 3
## 1908 0.1162005 109.1121 0.162 first_trace 3
## 1909 0.1162005 109.1121 0.162 first_trace 3
## 1910 0.1162005 109.1121 0.162 first_trace 3
## 1911 0.1162005 109.1121 0.162 first_trace 3
## 1912 0.1162005 109.1121 0.162 first_trace 3
## 1913 0.1162005 109.1121 0.162 first_trace 3
## 1914 0.1162005 109.1121 0.162 first_trace 3
## 1915 0.1162005 109.1121 0.162 first_trace 3
## 1916 0.1162005 109.1121 0.162 first_trace 3
## 1917 0.1162005 109.1121 0.162 first_trace 3
## 1918 0.1162005 109.1121 0.162 first_trace 3
## 1919 0.1162005 109.1121 0.162 first_trace 3
## 1920 0.1162005 109.1121 0.162 first_trace 3
## 1921 0.1162005 109.1121 0.162 first_trace 3
## 1922 0.1162005 109.1121 0.162 first_trace 3
## 1923 0.1162005 109.1121 0.162 first_trace 3
## 1924 0.1162005 109.1121 0.162 first_trace 3
## 1925 0.1162005 109.1121 0.162 second_trace 3
## 1926 0.1162005 109.1121 0.162 second_trace 3
## 1927 0.1162005 109.1121 0.162 second_trace 3
## 1928 0.1162005 109.1121 0.162 second_trace 3
## 1929 0.1162005 109.1121 0.162 second_trace 3
## 1930 0.1162005 109.1121 0.162 second_trace 3
## 1931 0.1162005 109.1121 0.162 second_trace 3
## 1932 0.1162005 109.1121 0.162 second_trace 3
## 1933 0.1162005 109.1121 0.162 second_trace 3
## 1934 0.1162005 109.1121 0.162 second_trace 3
## 1935 0.1162005 109.1121 0.162 second_trace 3
## 1936 0.1162005 109.1121 0.162 second_trace 3
## 1937 0.1162005 109.1121 0.162 second_trace 3
## 1938 0.1162005 109.1121 0.162 second_trace 3
## 1939 0.1162005 109.1121 0.162 second_trace 3
## 1940 0.1162005 109.1121 0.162 second_trace 3
## 1941 0.1162005 109.1121 0.162 second_trace 3
## 1942 0.1162005 109.1121 0.162 second_trace 3
## 1943 0.1162005 109.1121 0.162 second_trace 3
## 1944 0.1162005 109.1121 0.162 second_trace 3
## 1945 0.1162005 109.1121 0.162 second_trace 3
## 1946 0.1162005 109.1121 0.162 second_trace 3
## 1947 0.1162005 109.1121 0.162 second_trace 3
## 1948 0.1162005 109.1121 0.162 second_trace 3
## 1949 0.1162005 109.1121 0.162 second_trace 3
## 1950 0.1162005 109.1121 0.162 second_trace 3
## 1951 0.1162005 109.1121 0.162 second_trace 3
## 1952 0.1162005 109.1121 0.162 second_trace 3
## 1953 0.1162005 109.1121 0.162 second_trace 3
## 1954 0.1162005 109.1121 0.162 second_trace 3
## 1955 0.1162005 109.1121 0.162 second_trace 3
## 1956 0.1162005 109.1121 0.162 second_trace 3
## 1957 0.1162005 109.1121 0.162 second_trace 3
## 1958 0.1162005 109.1121 0.162 second_trace 3
## 1959 0.1162005 109.1121 0.162 second_trace 3
## 1960 0.1162005 109.1121 0.162 second_trace 3
## 1961 0.1162005 109.1121 0.162 second_trace 3
## 1962 0.1162005 109.1121 0.162 second_trace 3
## 1963 0.1162005 109.1121 0.162 second_trace 3
## 1964 0.1162005 109.1121 0.162 second_trace 3
## 1965 0.1162005 109.1121 0.162 second_trace 3
## 1966 0.1162005 109.1121 0.162 second_trace 3
## 1967 0.1162005 109.1121 0.162 second_trace 3
## 1968 0.1162005 109.1121 0.162 second_trace 3
## 1969 0.1162005 109.1121 0.162 second_trace 3
## 1970 0.1162005 109.1121 0.162 second_trace 3
## 1971 0.1162005 109.1121 0.162 second_trace 3
## 1972 0.1162005 109.1121 0.162 second_trace 3
## 1973 0.1162005 109.1121 0.162 second_trace 3
## 1974 0.1162005 109.1121 0.162 second_trace 3
## 1975 0.1162005 109.1121 0.162 second_trace 3
## 1976 0.1162005 109.1121 0.162 mif1 3
## 1977 0.1162005 109.1121 0.162 start 3
## 1978 0.1162005 109.1121 0.162 first_trace 3
## 1979 0.1162005 109.1121 0.162 first_trace 3
## 1980 0.1162005 109.1121 0.162 first_trace 3
## 1981 0.1162005 109.1121 0.162 first_trace 3
## 1982 0.1162005 109.1121 0.162 first_trace 3
## 1983 0.1162005 109.1121 0.162 first_trace 3
## 1984 0.1162005 109.1121 0.162 first_trace 3
## 1985 0.1162005 109.1121 0.162 first_trace 3
## 1986 0.1162005 109.1121 0.162 first_trace 3
## 1987 0.1162005 109.1121 0.162 first_trace 3
## 1988 0.1162005 109.1121 0.162 first_trace 3
## 1989 0.1162005 109.1121 0.162 first_trace 3
## 1990 0.1162005 109.1121 0.162 first_trace 3
## 1991 0.1162005 109.1121 0.162 first_trace 3
## 1992 0.1162005 109.1121 0.162 first_trace 3
## 1993 0.1162005 109.1121 0.162 first_trace 3
## 1994 0.1162005 109.1121 0.162 first_trace 3
## 1995 0.1162005 109.1121 0.162 first_trace 3
## 1996 0.1162005 109.1121 0.162 first_trace 3
## 1997 0.1162005 109.1121 0.162 first_trace 3
## 1998 0.1162005 109.1121 0.162 first_trace 3
## 1999 0.1162005 109.1121 0.162 first_trace 3
## 2000 0.1162005 109.1121 0.162 first_trace 3
## 2001 0.1162005 109.1121 0.162 first_trace 3
## 2002 0.1162005 109.1121 0.162 first_trace 3
## 2003 0.1162005 109.1121 0.162 first_trace 3
## 2004 0.1162005 109.1121 0.162 first_trace 3
## 2005 0.1162005 109.1121 0.162 first_trace 3
## 2006 0.1162005 109.1121 0.162 first_trace 3
## 2007 0.1162005 109.1121 0.162 first_trace 3
## 2008 0.1162005 109.1121 0.162 first_trace 3
## 2009 0.1162005 109.1121 0.162 first_trace 3
## 2010 0.1162005 109.1121 0.162 first_trace 3
## 2011 0.1162005 109.1121 0.162 first_trace 3
## 2012 0.1162005 109.1121 0.162 first_trace 3
## 2013 0.1162005 109.1121 0.162 first_trace 3
## 2014 0.1162005 109.1121 0.162 first_trace 3
## 2015 0.1162005 109.1121 0.162 first_trace 3
## 2016 0.1162005 109.1121 0.162 first_trace 3
## 2017 0.1162005 109.1121 0.162 first_trace 3
## 2018 0.1162005 109.1121 0.162 first_trace 3
## 2019 0.1162005 109.1121 0.162 first_trace 3
## 2020 0.1162005 109.1121 0.162 first_trace 3
## 2021 0.1162005 109.1121 0.162 first_trace 3
## 2022 0.1162005 109.1121 0.162 first_trace 3
## 2023 0.1162005 109.1121 0.162 first_trace 3
## 2024 0.1162005 109.1121 0.162 first_trace 3
## 2025 0.1162005 109.1121 0.162 first_trace 3
## 2026 0.1162005 109.1121 0.162 first_trace 3
## 2027 0.1162005 109.1121 0.162 first_trace 3
## 2028 0.1162005 109.1121 0.162 first_trace 3
## 2029 0.1162005 109.1121 0.162 second_trace 3
## 2030 0.1162005 109.1121 0.162 second_trace 3
## 2031 0.1162005 109.1121 0.162 second_trace 3
## 2032 0.1162005 109.1121 0.162 second_trace 3
## 2033 0.1162005 109.1121 0.162 second_trace 3
## 2034 0.1162005 109.1121 0.162 second_trace 3
## 2035 0.1162005 109.1121 0.162 second_trace 3
## 2036 0.1162005 109.1121 0.162 second_trace 3
## 2037 0.1162005 109.1121 0.162 second_trace 3
## 2038 0.1162005 109.1121 0.162 second_trace 3
## 2039 0.1162005 109.1121 0.162 second_trace 3
## 2040 0.1162005 109.1121 0.162 second_trace 3
## 2041 0.1162005 109.1121 0.162 second_trace 3
## 2042 0.1162005 109.1121 0.162 second_trace 3
## 2043 0.1162005 109.1121 0.162 second_trace 3
## 2044 0.1162005 109.1121 0.162 second_trace 3
## 2045 0.1162005 109.1121 0.162 second_trace 3
## 2046 0.1162005 109.1121 0.162 second_trace 3
## 2047 0.1162005 109.1121 0.162 second_trace 3
## 2048 0.1162005 109.1121 0.162 second_trace 3
## 2049 0.1162005 109.1121 0.162 second_trace 3
## 2050 0.1162005 109.1121 0.162 second_trace 3
## 2051 0.1162005 109.1121 0.162 second_trace 3
## 2052 0.1162005 109.1121 0.162 second_trace 3
## 2053 0.1162005 109.1121 0.162 second_trace 3
## 2054 0.1162005 109.1121 0.162 second_trace 3
## 2055 0.1162005 109.1121 0.162 second_trace 3
## 2056 0.1162005 109.1121 0.162 second_trace 3
## 2057 0.1162005 109.1121 0.162 second_trace 3
## 2058 0.1162005 109.1121 0.162 second_trace 3
## 2059 0.1162005 109.1121 0.162 second_trace 3
## 2060 0.1162005 109.1121 0.162 second_trace 3
## 2061 0.1162005 109.1121 0.162 second_trace 3
## 2062 0.1162005 109.1121 0.162 second_trace 3
## 2063 0.1162005 109.1121 0.162 second_trace 3
## 2064 0.1162005 109.1121 0.162 second_trace 3
## 2065 0.1162005 109.1121 0.162 second_trace 3
## 2066 0.1162005 109.1121 0.162 second_trace 3
## 2067 0.1162005 109.1121 0.162 second_trace 3
## 2068 0.1162005 109.1121 0.162 second_trace 3
## 2069 0.1162005 109.1121 0.162 second_trace 3
## 2070 0.1162005 109.1121 0.162 second_trace 3
## 2071 0.1162005 109.1121 0.162 second_trace 3
## 2072 0.1162005 109.1121 0.162 second_trace 3
## 2073 0.1162005 109.1121 0.162 second_trace 3
## 2074 0.1162005 109.1121 0.162 second_trace 3
## 2075 0.1162005 109.1121 0.162 second_trace 3
## 2076 0.1162005 109.1121 0.162 second_trace 3
## 2077 0.1162005 109.1121 0.162 second_trace 3
## 2078 0.1162005 109.1121 0.162 second_trace 3
## 2079 0.1162005 109.1121 0.162 second_trace 3
## 2080 0.1162005 109.1121 0.162 mif1 3
## 2081 0.1162005 109.1121 0.162 start 3
## 2082 0.1162005 109.1121 0.162 first_trace 3
## 2083 0.1162005 109.1121 0.162 first_trace 3
## 2084 0.1162005 109.1121 0.162 first_trace 3
## 2085 0.1162005 109.1121 0.162 first_trace 3
## 2086 0.1162005 109.1121 0.162 first_trace 3
## 2087 0.1162005 109.1121 0.162 first_trace 3
## 2088 0.1162005 109.1121 0.162 first_trace 3
## 2089 0.1162005 109.1121 0.162 first_trace 3
## 2090 0.1162005 109.1121 0.162 first_trace 3
## 2091 0.1162005 109.1121 0.162 first_trace 3
## 2092 0.1162005 109.1121 0.162 first_trace 3
## 2093 0.1162005 109.1121 0.162 first_trace 3
## 2094 0.1162005 109.1121 0.162 first_trace 3
## 2095 0.1162005 109.1121 0.162 first_trace 3
## 2096 0.1162005 109.1121 0.162 first_trace 3
## 2097 0.1162005 109.1121 0.162 first_trace 3
## 2098 0.1162005 109.1121 0.162 first_trace 3
## 2099 0.1162005 109.1121 0.162 first_trace 3
## 2100 0.1162005 109.1121 0.162 first_trace 3
## 2101 0.1162005 109.1121 0.162 first_trace 3
## 2102 0.1162005 109.1121 0.162 first_trace 3
## 2103 0.1162005 109.1121 0.162 first_trace 3
## 2104 0.1162005 109.1121 0.162 first_trace 3
## 2105 0.1162005 109.1121 0.162 first_trace 3
## 2106 0.1162005 109.1121 0.162 first_trace 3
## 2107 0.1162005 109.1121 0.162 first_trace 3
## 2108 0.1162005 109.1121 0.162 first_trace 3
## 2109 0.1162005 109.1121 0.162 first_trace 3
## 2110 0.1162005 109.1121 0.162 first_trace 3
## 2111 0.1162005 109.1121 0.162 first_trace 3
## 2112 0.1162005 109.1121 0.162 first_trace 3
## 2113 0.1162005 109.1121 0.162 first_trace 3
## 2114 0.1162005 109.1121 0.162 first_trace 3
## 2115 0.1162005 109.1121 0.162 first_trace 3
## 2116 0.1162005 109.1121 0.162 first_trace 3
## 2117 0.1162005 109.1121 0.162 first_trace 3
## 2118 0.1162005 109.1121 0.162 first_trace 3
## 2119 0.1162005 109.1121 0.162 first_trace 3
## 2120 0.1162005 109.1121 0.162 first_trace 3
## 2121 0.1162005 109.1121 0.162 first_trace 3
## 2122 0.1162005 109.1121 0.162 first_trace 3
## 2123 0.1162005 109.1121 0.162 first_trace 3
## 2124 0.1162005 109.1121 0.162 first_trace 3
## 2125 0.1162005 109.1121 0.162 first_trace 3
## 2126 0.1162005 109.1121 0.162 first_trace 3
## 2127 0.1162005 109.1121 0.162 first_trace 3
## 2128 0.1162005 109.1121 0.162 first_trace 3
## 2129 0.1162005 109.1121 0.162 first_trace 3
## 2130 0.1162005 109.1121 0.162 first_trace 3
## 2131 0.1162005 109.1121 0.162 first_trace 3
## 2132 0.1162005 109.1121 0.162 first_trace 3
## 2133 0.1162005 109.1121 0.162 second_trace 3
## 2134 0.1162005 109.1121 0.162 second_trace 3
## 2135 0.1162005 109.1121 0.162 second_trace 3
## 2136 0.1162005 109.1121 0.162 second_trace 3
## 2137 0.1162005 109.1121 0.162 second_trace 3
## 2138 0.1162005 109.1121 0.162 second_trace 3
## 2139 0.1162005 109.1121 0.162 second_trace 3
## 2140 0.1162005 109.1121 0.162 second_trace 3
## 2141 0.1162005 109.1121 0.162 second_trace 3
## 2142 0.1162005 109.1121 0.162 second_trace 3
## 2143 0.1162005 109.1121 0.162 second_trace 3
## 2144 0.1162005 109.1121 0.162 second_trace 3
## 2145 0.1162005 109.1121 0.162 second_trace 3
## 2146 0.1162005 109.1121 0.162 second_trace 3
## 2147 0.1162005 109.1121 0.162 second_trace 3
## 2148 0.1162005 109.1121 0.162 second_trace 3
## 2149 0.1162005 109.1121 0.162 second_trace 3
## 2150 0.1162005 109.1121 0.162 second_trace 3
## 2151 0.1162005 109.1121 0.162 second_trace 3
## 2152 0.1162005 109.1121 0.162 second_trace 3
## 2153 0.1162005 109.1121 0.162 second_trace 3
## 2154 0.1162005 109.1121 0.162 second_trace 3
## 2155 0.1162005 109.1121 0.162 second_trace 3
## 2156 0.1162005 109.1121 0.162 second_trace 3
## 2157 0.1162005 109.1121 0.162 second_trace 3
## 2158 0.1162005 109.1121 0.162 second_trace 3
## 2159 0.1162005 109.1121 0.162 second_trace 3
## 2160 0.1162005 109.1121 0.162 second_trace 3
## 2161 0.1162005 109.1121 0.162 second_trace 3
## 2162 0.1162005 109.1121 0.162 second_trace 3
## 2163 0.1162005 109.1121 0.162 second_trace 3
## 2164 0.1162005 109.1121 0.162 second_trace 3
## 2165 0.1162005 109.1121 0.162 second_trace 3
## 2166 0.1162005 109.1121 0.162 second_trace 3
## 2167 0.1162005 109.1121 0.162 second_trace 3
## 2168 0.1162005 109.1121 0.162 second_trace 3
## 2169 0.1162005 109.1121 0.162 second_trace 3
## 2170 0.1162005 109.1121 0.162 second_trace 3
## 2171 0.1162005 109.1121 0.162 second_trace 3
## 2172 0.1162005 109.1121 0.162 second_trace 3
## 2173 0.1162005 109.1121 0.162 second_trace 3
## 2174 0.1162005 109.1121 0.162 second_trace 3
## 2175 0.1162005 109.1121 0.162 second_trace 3
## 2176 0.1162005 109.1121 0.162 second_trace 3
## 2177 0.1162005 109.1121 0.162 second_trace 3
## 2178 0.1162005 109.1121 0.162 second_trace 3
## 2179 0.1162005 109.1121 0.162 second_trace 3
## 2180 0.1162005 109.1121 0.162 second_trace 3
## 2181 0.1162005 109.1121 0.162 second_trace 3
## 2182 0.1162005 109.1121 0.162 second_trace 3
## 2183 0.1162005 109.1121 0.162 second_trace 3
## 2184 0.1162005 109.1121 0.162 mif1 3
## 2185 0.1162005 109.1121 0.162 start 3
## 2186 0.1162005 109.1121 0.162 first_trace 3
## 2187 0.1162005 109.1121 0.162 first_trace 3
## 2188 0.1162005 109.1121 0.162 first_trace 3
## 2189 0.1162005 109.1121 0.162 first_trace 3
## 2190 0.1162005 109.1121 0.162 first_trace 3
## 2191 0.1162005 109.1121 0.162 first_trace 3
## 2192 0.1162005 109.1121 0.162 first_trace 3
## 2193 0.1162005 109.1121 0.162 first_trace 3
## 2194 0.1162005 109.1121 0.162 first_trace 3
## 2195 0.1162005 109.1121 0.162 first_trace 3
## 2196 0.1162005 109.1121 0.162 first_trace 3
## 2197 0.1162005 109.1121 0.162 first_trace 3
## 2198 0.1162005 109.1121 0.162 first_trace 3
## 2199 0.1162005 109.1121 0.162 first_trace 3
## 2200 0.1162005 109.1121 0.162 first_trace 3
## 2201 0.1162005 109.1121 0.162 first_trace 3
## 2202 0.1162005 109.1121 0.162 first_trace 3
## 2203 0.1162005 109.1121 0.162 first_trace 3
## 2204 0.1162005 109.1121 0.162 first_trace 3
## 2205 0.1162005 109.1121 0.162 first_trace 3
## 2206 0.1162005 109.1121 0.162 first_trace 3
## 2207 0.1162005 109.1121 0.162 first_trace 3
## 2208 0.1162005 109.1121 0.162 first_trace 3
## 2209 0.1162005 109.1121 0.162 first_trace 3
## 2210 0.1162005 109.1121 0.162 first_trace 3
## 2211 0.1162005 109.1121 0.162 first_trace 3
## 2212 0.1162005 109.1121 0.162 first_trace 3
## 2213 0.1162005 109.1121 0.162 first_trace 3
## 2214 0.1162005 109.1121 0.162 first_trace 3
## 2215 0.1162005 109.1121 0.162 first_trace 3
## 2216 0.1162005 109.1121 0.162 first_trace 3
## 2217 0.1162005 109.1121 0.162 first_trace 3
## 2218 0.1162005 109.1121 0.162 first_trace 3
## 2219 0.1162005 109.1121 0.162 first_trace 3
## 2220 0.1162005 109.1121 0.162 first_trace 3
## 2221 0.1162005 109.1121 0.162 first_trace 3
## 2222 0.1162005 109.1121 0.162 first_trace 3
## 2223 0.1162005 109.1121 0.162 first_trace 3
## 2224 0.1162005 109.1121 0.162 first_trace 3
## 2225 0.1162005 109.1121 0.162 first_trace 3
## 2226 0.1162005 109.1121 0.162 first_trace 3
## 2227 0.1162005 109.1121 0.162 first_trace 3
## 2228 0.1162005 109.1121 0.162 first_trace 3
## 2229 0.1162005 109.1121 0.162 first_trace 3
## 2230 0.1162005 109.1121 0.162 first_trace 3
## 2231 0.1162005 109.1121 0.162 first_trace 3
## 2232 0.1162005 109.1121 0.162 first_trace 3
## 2233 0.1162005 109.1121 0.162 first_trace 3
## 2234 0.1162005 109.1121 0.162 first_trace 3
## 2235 0.1162005 109.1121 0.162 first_trace 3
## 2236 0.1162005 109.1121 0.162 first_trace 3
## 2237 0.1162005 109.1121 0.162 second_trace 3
## 2238 0.1162005 109.1121 0.162 second_trace 3
## 2239 0.1162005 109.1121 0.162 second_trace 3
## 2240 0.1162005 109.1121 0.162 second_trace 3
## 2241 0.1162005 109.1121 0.162 second_trace 3
## 2242 0.1162005 109.1121 0.162 second_trace 3
## 2243 0.1162005 109.1121 0.162 second_trace 3
## 2244 0.1162005 109.1121 0.162 second_trace 3
## 2245 0.1162005 109.1121 0.162 second_trace 3
## 2246 0.1162005 109.1121 0.162 second_trace 3
## 2247 0.1162005 109.1121 0.162 second_trace 3
## 2248 0.1162005 109.1121 0.162 second_trace 3
## 2249 0.1162005 109.1121 0.162 second_trace 3
## 2250 0.1162005 109.1121 0.162 second_trace 3
## 2251 0.1162005 109.1121 0.162 second_trace 3
## 2252 0.1162005 109.1121 0.162 second_trace 3
## 2253 0.1162005 109.1121 0.162 second_trace 3
## 2254 0.1162005 109.1121 0.162 second_trace 3
## 2255 0.1162005 109.1121 0.162 second_trace 3
## 2256 0.1162005 109.1121 0.162 second_trace 3
## 2257 0.1162005 109.1121 0.162 second_trace 3
## 2258 0.1162005 109.1121 0.162 second_trace 3
## 2259 0.1162005 109.1121 0.162 second_trace 3
## 2260 0.1162005 109.1121 0.162 second_trace 3
## 2261 0.1162005 109.1121 0.162 second_trace 3
## 2262 0.1162005 109.1121 0.162 second_trace 3
## 2263 0.1162005 109.1121 0.162 second_trace 3
## 2264 0.1162005 109.1121 0.162 second_trace 3
## 2265 0.1162005 109.1121 0.162 second_trace 3
## 2266 0.1162005 109.1121 0.162 second_trace 3
## 2267 0.1162005 109.1121 0.162 second_trace 3
## 2268 0.1162005 109.1121 0.162 second_trace 3
## 2269 0.1162005 109.1121 0.162 second_trace 3
## 2270 0.1162005 109.1121 0.162 second_trace 3
## 2271 0.1162005 109.1121 0.162 second_trace 3
## 2272 0.1162005 109.1121 0.162 second_trace 3
## 2273 0.1162005 109.1121 0.162 second_trace 3
## 2274 0.1162005 109.1121 0.162 second_trace 3
## 2275 0.1162005 109.1121 0.162 second_trace 3
## 2276 0.1162005 109.1121 0.162 second_trace 3
## 2277 0.1162005 109.1121 0.162 second_trace 3
## 2278 0.1162005 109.1121 0.162 second_trace 3
## 2279 0.1162005 109.1121 0.162 second_trace 3
## 2280 0.1162005 109.1121 0.162 second_trace 3
## 2281 0.1162005 109.1121 0.162 second_trace 3
## 2282 0.1162005 109.1121 0.162 second_trace 3
## 2283 0.1162005 109.1121 0.162 second_trace 3
## 2284 0.1162005 109.1121 0.162 second_trace 3
## 2285 0.1162005 109.1121 0.162 second_trace 3
## 2286 0.1162005 109.1121 0.162 second_trace 3
## 2287 0.1162005 109.1121 0.162 second_trace 3
## 2288 0.1162005 109.1121 0.162 mif1 3
## 2289 0.1162005 109.1121 0.162 start 3
## 2290 0.1162005 109.1121 0.162 first_trace 3
## 2291 0.1162005 109.1121 0.162 first_trace 3
## 2292 0.1162005 109.1121 0.162 first_trace 3
## 2293 0.1162005 109.1121 0.162 first_trace 3
## 2294 0.1162005 109.1121 0.162 first_trace 3
## 2295 0.1162005 109.1121 0.162 first_trace 3
## 2296 0.1162005 109.1121 0.162 first_trace 3
## 2297 0.1162005 109.1121 0.162 first_trace 3
## 2298 0.1162005 109.1121 0.162 first_trace 3
## 2299 0.1162005 109.1121 0.162 first_trace 3
## 2300 0.1162005 109.1121 0.162 first_trace 3
## 2301 0.1162005 109.1121 0.162 first_trace 3
## 2302 0.1162005 109.1121 0.162 first_trace 3
## 2303 0.1162005 109.1121 0.162 first_trace 3
## 2304 0.1162005 109.1121 0.162 first_trace 3
## 2305 0.1162005 109.1121 0.162 first_trace 3
## 2306 0.1162005 109.1121 0.162 first_trace 3
## 2307 0.1162005 109.1121 0.162 first_trace 3
## 2308 0.1162005 109.1121 0.162 first_trace 3
## 2309 0.1162005 109.1121 0.162 first_trace 3
## 2310 0.1162005 109.1121 0.162 first_trace 3
## 2311 0.1162005 109.1121 0.162 first_trace 3
## 2312 0.1162005 109.1121 0.162 first_trace 3
## 2313 0.1162005 109.1121 0.162 first_trace 3
## 2314 0.1162005 109.1121 0.162 first_trace 3
## 2315 0.1162005 109.1121 0.162 first_trace 3
## 2316 0.1162005 109.1121 0.162 first_trace 3
## 2317 0.1162005 109.1121 0.162 first_trace 3
## 2318 0.1162005 109.1121 0.162 first_trace 3
## 2319 0.1162005 109.1121 0.162 first_trace 3
## 2320 0.1162005 109.1121 0.162 first_trace 3
## 2321 0.1162005 109.1121 0.162 first_trace 3
## 2322 0.1162005 109.1121 0.162 first_trace 3
## 2323 0.1162005 109.1121 0.162 first_trace 3
## 2324 0.1162005 109.1121 0.162 first_trace 3
## 2325 0.1162005 109.1121 0.162 first_trace 3
## 2326 0.1162005 109.1121 0.162 first_trace 3
## 2327 0.1162005 109.1121 0.162 first_trace 3
## 2328 0.1162005 109.1121 0.162 first_trace 3
## 2329 0.1162005 109.1121 0.162 first_trace 3
## 2330 0.1162005 109.1121 0.162 first_trace 3
## 2331 0.1162005 109.1121 0.162 first_trace 3
## 2332 0.1162005 109.1121 0.162 first_trace 3
## 2333 0.1162005 109.1121 0.162 first_trace 3
## 2334 0.1162005 109.1121 0.162 first_trace 3
## 2335 0.1162005 109.1121 0.162 first_trace 3
## 2336 0.1162005 109.1121 0.162 first_trace 3
## 2337 0.1162005 109.1121 0.162 first_trace 3
## 2338 0.1162005 109.1121 0.162 first_trace 3
## 2339 0.1162005 109.1121 0.162 first_trace 3
## 2340 0.1162005 109.1121 0.162 first_trace 3
## 2341 0.1162005 109.1121 0.162 second_trace 3
## 2342 0.1162005 109.1121 0.162 second_trace 3
## 2343 0.1162005 109.1121 0.162 second_trace 3
## 2344 0.1162005 109.1121 0.162 second_trace 3
## 2345 0.1162005 109.1121 0.162 second_trace 3
## 2346 0.1162005 109.1121 0.162 second_trace 3
## 2347 0.1162005 109.1121 0.162 second_trace 3
## 2348 0.1162005 109.1121 0.162 second_trace 3
## 2349 0.1162005 109.1121 0.162 second_trace 3
## 2350 0.1162005 109.1121 0.162 second_trace 3
## 2351 0.1162005 109.1121 0.162 second_trace 3
## 2352 0.1162005 109.1121 0.162 second_trace 3
## 2353 0.1162005 109.1121 0.162 second_trace 3
## 2354 0.1162005 109.1121 0.162 second_trace 3
## 2355 0.1162005 109.1121 0.162 second_trace 3
## 2356 0.1162005 109.1121 0.162 second_trace 3
## 2357 0.1162005 109.1121 0.162 second_trace 3
## 2358 0.1162005 109.1121 0.162 second_trace 3
## 2359 0.1162005 109.1121 0.162 second_trace 3
## 2360 0.1162005 109.1121 0.162 second_trace 3
## 2361 0.1162005 109.1121 0.162 second_trace 3
## 2362 0.1162005 109.1121 0.162 second_trace 3
## 2363 0.1162005 109.1121 0.162 second_trace 3
## 2364 0.1162005 109.1121 0.162 second_trace 3
## 2365 0.1162005 109.1121 0.162 second_trace 3
## 2366 0.1162005 109.1121 0.162 second_trace 3
## 2367 0.1162005 109.1121 0.162 second_trace 3
## 2368 0.1162005 109.1121 0.162 second_trace 3
## 2369 0.1162005 109.1121 0.162 second_trace 3
## 2370 0.1162005 109.1121 0.162 second_trace 3
## 2371 0.1162005 109.1121 0.162 second_trace 3
## 2372 0.1162005 109.1121 0.162 second_trace 3
## 2373 0.1162005 109.1121 0.162 second_trace 3
## 2374 0.1162005 109.1121 0.162 second_trace 3
## 2375 0.1162005 109.1121 0.162 second_trace 3
## 2376 0.1162005 109.1121 0.162 second_trace 3
## 2377 0.1162005 109.1121 0.162 second_trace 3
## 2378 0.1162005 109.1121 0.162 second_trace 3
## 2379 0.1162005 109.1121 0.162 second_trace 3
## 2380 0.1162005 109.1121 0.162 second_trace 3
## 2381 0.1162005 109.1121 0.162 second_trace 3
## 2382 0.1162005 109.1121 0.162 second_trace 3
## 2383 0.1162005 109.1121 0.162 second_trace 3
## 2384 0.1162005 109.1121 0.162 second_trace 3
## 2385 0.1162005 109.1121 0.162 second_trace 3
## 2386 0.1162005 109.1121 0.162 second_trace 3
## 2387 0.1162005 109.1121 0.162 second_trace 3
## 2388 0.1162005 109.1121 0.162 second_trace 3
## 2389 0.1162005 109.1121 0.162 second_trace 3
## 2390 0.1162005 109.1121 0.162 second_trace 3
## 2391 0.1162005 109.1121 0.162 second_trace 3
## 2392 0.1162005 109.1121 0.162 mif1 3
## 2393 0.1162005 109.1121 0.162 start 3
## 2394 0.1162005 109.1121 0.162 first_trace 3
## 2395 0.1162005 109.1121 0.162 first_trace 3
## 2396 0.1162005 109.1121 0.162 first_trace 3
## 2397 0.1162005 109.1121 0.162 first_trace 3
## 2398 0.1162005 109.1121 0.162 first_trace 3
## 2399 0.1162005 109.1121 0.162 first_trace 3
## 2400 0.1162005 109.1121 0.162 first_trace 3
## 2401 0.1162005 109.1121 0.162 first_trace 3
## 2402 0.1162005 109.1121 0.162 first_trace 3
## 2403 0.1162005 109.1121 0.162 first_trace 3
## 2404 0.1162005 109.1121 0.162 first_trace 3
## 2405 0.1162005 109.1121 0.162 first_trace 3
## 2406 0.1162005 109.1121 0.162 first_trace 3
## 2407 0.1162005 109.1121 0.162 first_trace 3
## 2408 0.1162005 109.1121 0.162 first_trace 3
## 2409 0.1162005 109.1121 0.162 first_trace 3
## 2410 0.1162005 109.1121 0.162 first_trace 3
## 2411 0.1162005 109.1121 0.162 first_trace 3
## 2412 0.1162005 109.1121 0.162 first_trace 3
## 2413 0.1162005 109.1121 0.162 first_trace 3
## 2414 0.1162005 109.1121 0.162 first_trace 3
## 2415 0.1162005 109.1121 0.162 first_trace 3
## 2416 0.1162005 109.1121 0.162 first_trace 3
## 2417 0.1162005 109.1121 0.162 first_trace 3
## 2418 0.1162005 109.1121 0.162 first_trace 3
## 2419 0.1162005 109.1121 0.162 first_trace 3
## 2420 0.1162005 109.1121 0.162 first_trace 3
## 2421 0.1162005 109.1121 0.162 first_trace 3
## 2422 0.1162005 109.1121 0.162 first_trace 3
## 2423 0.1162005 109.1121 0.162 first_trace 3
## 2424 0.1162005 109.1121 0.162 first_trace 3
## 2425 0.1162005 109.1121 0.162 first_trace 3
## 2426 0.1162005 109.1121 0.162 first_trace 3
## 2427 0.1162005 109.1121 0.162 first_trace 3
## 2428 0.1162005 109.1121 0.162 first_trace 3
## 2429 0.1162005 109.1121 0.162 first_trace 3
## 2430 0.1162005 109.1121 0.162 first_trace 3
## 2431 0.1162005 109.1121 0.162 first_trace 3
## 2432 0.1162005 109.1121 0.162 first_trace 3
## 2433 0.1162005 109.1121 0.162 first_trace 3
## 2434 0.1162005 109.1121 0.162 first_trace 3
## 2435 0.1162005 109.1121 0.162 first_trace 3
## 2436 0.1162005 109.1121 0.162 first_trace 3
## 2437 0.1162005 109.1121 0.162 first_trace 3
## 2438 0.1162005 109.1121 0.162 first_trace 3
## 2439 0.1162005 109.1121 0.162 first_trace 3
## 2440 0.1162005 109.1121 0.162 first_trace 3
## 2441 0.1162005 109.1121 0.162 first_trace 3
## 2442 0.1162005 109.1121 0.162 first_trace 3
## 2443 0.1162005 109.1121 0.162 first_trace 3
## 2444 0.1162005 109.1121 0.162 first_trace 3
## 2445 0.1162005 109.1121 0.162 second_trace 3
## 2446 0.1162005 109.1121 0.162 second_trace 3
## 2447 0.1162005 109.1121 0.162 second_trace 3
## 2448 0.1162005 109.1121 0.162 second_trace 3
## 2449 0.1162005 109.1121 0.162 second_trace 3
## 2450 0.1162005 109.1121 0.162 second_trace 3
## 2451 0.1162005 109.1121 0.162 second_trace 3
## 2452 0.1162005 109.1121 0.162 second_trace 3
## 2453 0.1162005 109.1121 0.162 second_trace 3
## 2454 0.1162005 109.1121 0.162 second_trace 3
## 2455 0.1162005 109.1121 0.162 second_trace 3
## 2456 0.1162005 109.1121 0.162 second_trace 3
## 2457 0.1162005 109.1121 0.162 second_trace 3
## 2458 0.1162005 109.1121 0.162 second_trace 3
## 2459 0.1162005 109.1121 0.162 second_trace 3
## 2460 0.1162005 109.1121 0.162 second_trace 3
## 2461 0.1162005 109.1121 0.162 second_trace 3
## 2462 0.1162005 109.1121 0.162 second_trace 3
## 2463 0.1162005 109.1121 0.162 second_trace 3
## 2464 0.1162005 109.1121 0.162 second_trace 3
## 2465 0.1162005 109.1121 0.162 second_trace 3
## 2466 0.1162005 109.1121 0.162 second_trace 3
## 2467 0.1162005 109.1121 0.162 second_trace 3
## 2468 0.1162005 109.1121 0.162 second_trace 3
## 2469 0.1162005 109.1121 0.162 second_trace 3
## 2470 0.1162005 109.1121 0.162 second_trace 3
## 2471 0.1162005 109.1121 0.162 second_trace 3
## 2472 0.1162005 109.1121 0.162 second_trace 3
## 2473 0.1162005 109.1121 0.162 second_trace 3
## 2474 0.1162005 109.1121 0.162 second_trace 3
## 2475 0.1162005 109.1121 0.162 second_trace 3
## 2476 0.1162005 109.1121 0.162 second_trace 3
## 2477 0.1162005 109.1121 0.162 second_trace 3
## 2478 0.1162005 109.1121 0.162 second_trace 3
## 2479 0.1162005 109.1121 0.162 second_trace 3
## 2480 0.1162005 109.1121 0.162 second_trace 3
## 2481 0.1162005 109.1121 0.162 second_trace 3
## 2482 0.1162005 109.1121 0.162 second_trace 3
## 2483 0.1162005 109.1121 0.162 second_trace 3
## 2484 0.1162005 109.1121 0.162 second_trace 3
## 2485 0.1162005 109.1121 0.162 second_trace 3
## 2486 0.1162005 109.1121 0.162 second_trace 3
## 2487 0.1162005 109.1121 0.162 second_trace 3
## 2488 0.1162005 109.1121 0.162 second_trace 3
## 2489 0.1162005 109.1121 0.162 second_trace 3
## 2490 0.1162005 109.1121 0.162 second_trace 3
## 2491 0.1162005 109.1121 0.162 second_trace 3
## 2492 0.1162005 109.1121 0.162 second_trace 3
## 2493 0.1162005 109.1121 0.162 second_trace 3
## 2494 0.1162005 109.1121 0.162 second_trace 3
## 2495 0.1162005 109.1121 0.162 second_trace 3
## 2496 0.1162005 109.1121 0.162 mif1 3
## 2497 0.1162005 109.1121 0.162 start 3
## 2498 0.1162005 109.1121 0.162 first_trace 3
## 2499 0.1162005 109.1121 0.162 first_trace 3
## 2500 0.1162005 109.1121 0.162 first_trace 3
## 2501 0.1162005 109.1121 0.162 first_trace 3
## 2502 0.1162005 109.1121 0.162 first_trace 3
## 2503 0.1162005 109.1121 0.162 first_trace 3
## 2504 0.1162005 109.1121 0.162 first_trace 3
## 2505 0.1162005 109.1121 0.162 first_trace 3
## 2506 0.1162005 109.1121 0.162 first_trace 3
## 2507 0.1162005 109.1121 0.162 first_trace 3
## 2508 0.1162005 109.1121 0.162 first_trace 3
## 2509 0.1162005 109.1121 0.162 first_trace 3
## 2510 0.1162005 109.1121 0.162 first_trace 3
## 2511 0.1162005 109.1121 0.162 first_trace 3
## 2512 0.1162005 109.1121 0.162 first_trace 3
## 2513 0.1162005 109.1121 0.162 first_trace 3
## 2514 0.1162005 109.1121 0.162 first_trace 3
## 2515 0.1162005 109.1121 0.162 first_trace 3
## 2516 0.1162005 109.1121 0.162 first_trace 3
## 2517 0.1162005 109.1121 0.162 first_trace 3
## 2518 0.1162005 109.1121 0.162 first_trace 3
## 2519 0.1162005 109.1121 0.162 first_trace 3
## 2520 0.1162005 109.1121 0.162 first_trace 3
## 2521 0.1162005 109.1121 0.162 first_trace 3
## 2522 0.1162005 109.1121 0.162 first_trace 3
## 2523 0.1162005 109.1121 0.162 first_trace 3
## 2524 0.1162005 109.1121 0.162 first_trace 3
## 2525 0.1162005 109.1121 0.162 first_trace 3
## 2526 0.1162005 109.1121 0.162 first_trace 3
## 2527 0.1162005 109.1121 0.162 first_trace 3
## 2528 0.1162005 109.1121 0.162 first_trace 3
## 2529 0.1162005 109.1121 0.162 first_trace 3
## 2530 0.1162005 109.1121 0.162 first_trace 3
## 2531 0.1162005 109.1121 0.162 first_trace 3
## 2532 0.1162005 109.1121 0.162 first_trace 3
## 2533 0.1162005 109.1121 0.162 first_trace 3
## 2534 0.1162005 109.1121 0.162 first_trace 3
## 2535 0.1162005 109.1121 0.162 first_trace 3
## 2536 0.1162005 109.1121 0.162 first_trace 3
## 2537 0.1162005 109.1121 0.162 first_trace 3
## 2538 0.1162005 109.1121 0.162 first_trace 3
## 2539 0.1162005 109.1121 0.162 first_trace 3
## 2540 0.1162005 109.1121 0.162 first_trace 3
## 2541 0.1162005 109.1121 0.162 first_trace 3
## 2542 0.1162005 109.1121 0.162 first_trace 3
## 2543 0.1162005 109.1121 0.162 first_trace 3
## 2544 0.1162005 109.1121 0.162 first_trace 3
## 2545 0.1162005 109.1121 0.162 first_trace 3
## 2546 0.1162005 109.1121 0.162 first_trace 3
## 2547 0.1162005 109.1121 0.162 first_trace 3
## 2548 0.1162005 109.1121 0.162 first_trace 3
## 2549 0.1162005 109.1121 0.162 second_trace 3
## 2550 0.1162005 109.1121 0.162 second_trace 3
## 2551 0.1162005 109.1121 0.162 second_trace 3
## 2552 0.1162005 109.1121 0.162 second_trace 3
## 2553 0.1162005 109.1121 0.162 second_trace 3
## 2554 0.1162005 109.1121 0.162 second_trace 3
## 2555 0.1162005 109.1121 0.162 second_trace 3
## 2556 0.1162005 109.1121 0.162 second_trace 3
## 2557 0.1162005 109.1121 0.162 second_trace 3
## 2558 0.1162005 109.1121 0.162 second_trace 3
## 2559 0.1162005 109.1121 0.162 second_trace 3
## 2560 0.1162005 109.1121 0.162 second_trace 3
## 2561 0.1162005 109.1121 0.162 second_trace 3
## 2562 0.1162005 109.1121 0.162 second_trace 3
## 2563 0.1162005 109.1121 0.162 second_trace 3
## 2564 0.1162005 109.1121 0.162 second_trace 3
## 2565 0.1162005 109.1121 0.162 second_trace 3
## 2566 0.1162005 109.1121 0.162 second_trace 3
## 2567 0.1162005 109.1121 0.162 second_trace 3
## 2568 0.1162005 109.1121 0.162 second_trace 3
## 2569 0.1162005 109.1121 0.162 second_trace 3
## 2570 0.1162005 109.1121 0.162 second_trace 3
## 2571 0.1162005 109.1121 0.162 second_trace 3
## 2572 0.1162005 109.1121 0.162 second_trace 3
## 2573 0.1162005 109.1121 0.162 second_trace 3
## 2574 0.1162005 109.1121 0.162 second_trace 3
## 2575 0.1162005 109.1121 0.162 second_trace 3
## 2576 0.1162005 109.1121 0.162 second_trace 3
## 2577 0.1162005 109.1121 0.162 second_trace 3
## 2578 0.1162005 109.1121 0.162 second_trace 3
## 2579 0.1162005 109.1121 0.162 second_trace 3
## 2580 0.1162005 109.1121 0.162 second_trace 3
## 2581 0.1162005 109.1121 0.162 second_trace 3
## 2582 0.1162005 109.1121 0.162 second_trace 3
## 2583 0.1162005 109.1121 0.162 second_trace 3
## 2584 0.1162005 109.1121 0.162 second_trace 3
## 2585 0.1162005 109.1121 0.162 second_trace 3
## 2586 0.1162005 109.1121 0.162 second_trace 3
## 2587 0.1162005 109.1121 0.162 second_trace 3
## 2588 0.1162005 109.1121 0.162 second_trace 3
## 2589 0.1162005 109.1121 0.162 second_trace 3
## 2590 0.1162005 109.1121 0.162 second_trace 3
## 2591 0.1162005 109.1121 0.162 second_trace 3
## 2592 0.1162005 109.1121 0.162 second_trace 3
## 2593 0.1162005 109.1121 0.162 second_trace 3
## 2594 0.1162005 109.1121 0.162 second_trace 3
## 2595 0.1162005 109.1121 0.162 second_trace 3
## 2596 0.1162005 109.1121 0.162 second_trace 3
## 2597 0.1162005 109.1121 0.162 second_trace 3
## 2598 0.1162005 109.1121 0.162 second_trace 3
## 2599 0.1162005 109.1121 0.162 second_trace 3
## 2600 0.1162005 109.1121 0.162 mif1 3
## 2601 0.1162005 109.1121 0.162 start 3
## 2602 0.1162005 109.1121 0.162 first_trace 3
## 2603 0.1162005 109.1121 0.162 first_trace 3
## 2604 0.1162005 109.1121 0.162 first_trace 3
## 2605 0.1162005 109.1121 0.162 first_trace 3
## 2606 0.1162005 109.1121 0.162 first_trace 3
## 2607 0.1162005 109.1121 0.162 first_trace 3
## 2608 0.1162005 109.1121 0.162 first_trace 3
## 2609 0.1162005 109.1121 0.162 first_trace 3
## 2610 0.1162005 109.1121 0.162 first_trace 3
## 2611 0.1162005 109.1121 0.162 first_trace 3
## 2612 0.1162005 109.1121 0.162 first_trace 3
## 2613 0.1162005 109.1121 0.162 first_trace 3
## 2614 0.1162005 109.1121 0.162 first_trace 3
## 2615 0.1162005 109.1121 0.162 first_trace 3
## 2616 0.1162005 109.1121 0.162 first_trace 3
## 2617 0.1162005 109.1121 0.162 first_trace 3
## 2618 0.1162005 109.1121 0.162 first_trace 3
## 2619 0.1162005 109.1121 0.162 first_trace 3
## 2620 0.1162005 109.1121 0.162 first_trace 3
## 2621 0.1162005 109.1121 0.162 first_trace 3
## 2622 0.1162005 109.1121 0.162 first_trace 3
## 2623 0.1162005 109.1121 0.162 first_trace 3
## 2624 0.1162005 109.1121 0.162 first_trace 3
## 2625 0.1162005 109.1121 0.162 first_trace 3
## 2626 0.1162005 109.1121 0.162 first_trace 3
## 2627 0.1162005 109.1121 0.162 first_trace 3
## 2628 0.1162005 109.1121 0.162 first_trace 3
## 2629 0.1162005 109.1121 0.162 first_trace 3
## 2630 0.1162005 109.1121 0.162 first_trace 3
## 2631 0.1162005 109.1121 0.162 first_trace 3
## 2632 0.1162005 109.1121 0.162 first_trace 3
## 2633 0.1162005 109.1121 0.162 first_trace 3
## 2634 0.1162005 109.1121 0.162 first_trace 3
## 2635 0.1162005 109.1121 0.162 first_trace 3
## 2636 0.1162005 109.1121 0.162 first_trace 3
## 2637 0.1162005 109.1121 0.162 first_trace 3
## 2638 0.1162005 109.1121 0.162 first_trace 3
## 2639 0.1162005 109.1121 0.162 first_trace 3
## 2640 0.1162005 109.1121 0.162 first_trace 3
## 2641 0.1162005 109.1121 0.162 first_trace 3
## 2642 0.1162005 109.1121 0.162 first_trace 3
## 2643 0.1162005 109.1121 0.162 first_trace 3
## 2644 0.1162005 109.1121 0.162 first_trace 3
## 2645 0.1162005 109.1121 0.162 first_trace 3
## 2646 0.1162005 109.1121 0.162 first_trace 3
## 2647 0.1162005 109.1121 0.162 first_trace 3
## 2648 0.1162005 109.1121 0.162 first_trace 3
## 2649 0.1162005 109.1121 0.162 first_trace 3
## 2650 0.1162005 109.1121 0.162 first_trace 3
## 2651 0.1162005 109.1121 0.162 first_trace 3
## 2652 0.1162005 109.1121 0.162 first_trace 3
## 2653 0.1162005 109.1121 0.162 second_trace 3
## 2654 0.1162005 109.1121 0.162 second_trace 3
## 2655 0.1162005 109.1121 0.162 second_trace 3
## 2656 0.1162005 109.1121 0.162 second_trace 3
## 2657 0.1162005 109.1121 0.162 second_trace 3
## 2658 0.1162005 109.1121 0.162 second_trace 3
## 2659 0.1162005 109.1121 0.162 second_trace 3
## 2660 0.1162005 109.1121 0.162 second_trace 3
## 2661 0.1162005 109.1121 0.162 second_trace 3
## 2662 0.1162005 109.1121 0.162 second_trace 3
## 2663 0.1162005 109.1121 0.162 second_trace 3
## 2664 0.1162005 109.1121 0.162 second_trace 3
## 2665 0.1162005 109.1121 0.162 second_trace 3
## 2666 0.1162005 109.1121 0.162 second_trace 3
## 2667 0.1162005 109.1121 0.162 second_trace 3
## 2668 0.1162005 109.1121 0.162 second_trace 3
## 2669 0.1162005 109.1121 0.162 second_trace 3
## 2670 0.1162005 109.1121 0.162 second_trace 3
## 2671 0.1162005 109.1121 0.162 second_trace 3
## 2672 0.1162005 109.1121 0.162 second_trace 3
## 2673 0.1162005 109.1121 0.162 second_trace 3
## 2674 0.1162005 109.1121 0.162 second_trace 3
## 2675 0.1162005 109.1121 0.162 second_trace 3
## 2676 0.1162005 109.1121 0.162 second_trace 3
## 2677 0.1162005 109.1121 0.162 second_trace 3
## 2678 0.1162005 109.1121 0.162 second_trace 3
## 2679 0.1162005 109.1121 0.162 second_trace 3
## 2680 0.1162005 109.1121 0.162 second_trace 3
## 2681 0.1162005 109.1121 0.162 second_trace 3
## 2682 0.1162005 109.1121 0.162 second_trace 3
## 2683 0.1162005 109.1121 0.162 second_trace 3
## 2684 0.1162005 109.1121 0.162 second_trace 3
## 2685 0.1162005 109.1121 0.162 second_trace 3
## 2686 0.1162005 109.1121 0.162 second_trace 3
## 2687 0.1162005 109.1121 0.162 second_trace 3
## 2688 0.1162005 109.1121 0.162 second_trace 3
## 2689 0.1162005 109.1121 0.162 second_trace 3
## 2690 0.1162005 109.1121 0.162 second_trace 3
## 2691 0.1162005 109.1121 0.162 second_trace 3
## 2692 0.1162005 109.1121 0.162 second_trace 3
## 2693 0.1162005 109.1121 0.162 second_trace 3
## 2694 0.1162005 109.1121 0.162 second_trace 3
## 2695 0.1162005 109.1121 0.162 second_trace 3
## 2696 0.1162005 109.1121 0.162 second_trace 3
## 2697 0.1162005 109.1121 0.162 second_trace 3
## 2698 0.1162005 109.1121 0.162 second_trace 3
## 2699 0.1162005 109.1121 0.162 second_trace 3
## 2700 0.1162005 109.1121 0.162 second_trace 3
## 2701 0.1162005 109.1121 0.162 second_trace 3
## 2702 0.1162005 109.1121 0.162 second_trace 3
## param_index loglik nfail trace_num loglist.se
## 1 1 NA NA NA NA
## 2 1 -869.0832 0 1 NA
## 3 1 -669.0413 0 2 NA
## 4 1 -649.4983 0 3 NA
## 5 1 -643.1247 0 4 NA
## 6 1 -638.5519 0 5 NA
## 7 1 -637.4615 0 6 NA
## 8 1 -637.3864 0 7 NA
## 9 1 -636.5961 0 8 NA
## 10 1 -636.6436 0 9 NA
## 11 1 -636.3189 0 10 NA
## 12 1 -636.4072 0 11 NA
## 13 1 -636.4405 0 12 NA
## 14 1 -636.0190 0 13 NA
## 15 1 -636.1065 0 14 NA
## 16 1 -636.0639 0 15 NA
## 17 1 -636.0955 0 16 NA
## 18 1 -635.7198 0 17 NA
## 19 1 -635.5419 0 18 NA
## 20 1 -635.6671 0 19 NA
## 21 1 -635.2280 0 20 NA
## 22 1 -635.5423 0 21 NA
## 23 1 -635.1255 0 22 NA
## 24 1 -635.1051 0 23 NA
## 25 1 -635.4918 0 24 NA
## 26 1 -635.2351 0 25 NA
## 27 1 -635.0628 0 26 NA
## 28 1 -635.1769 0 27 NA
## 29 1 -635.0026 0 28 NA
## 30 1 -635.1512 0 29 NA
## 31 1 -635.0183 0 30 NA
## 32 1 -634.7163 0 31 NA
## 33 1 -634.4876 0 32 NA
## 34 1 -634.7944 0 33 NA
## 35 1 -634.8424 0 34 NA
## 36 1 -634.7135 0 35 NA
## 37 1 -634.7926 0 36 NA
## 38 1 -634.5375 0 37 NA
## 39 1 -634.6556 0 38 NA
## 40 1 -634.6788 0 39 NA
## 41 1 -634.3006 0 40 NA
## 42 1 -634.3494 0 41 NA
## 43 1 -634.5890 0 42 NA
## 44 1 -634.3578 0 43 NA
## 45 1 -634.3796 0 44 NA
## 46 1 -634.0797 0 45 NA
## 47 1 -634.3860 0 46 NA
## 48 1 -634.0900 0 47 NA
## 49 1 -634.2761 0 48 NA
## 50 1 -634.2178 0 49 NA
## 51 1 -634.1434 0 50 NA
## 52 1 NA NA 51 NA
## 53 1 -633.7826 0 1 NA
## 54 1 -635.4197 0 2 NA
## 55 1 -635.4633 0 3 NA
## 56 1 -635.7489 0 4 NA
## 57 1 -635.5065 0 5 NA
## 58 1 -635.5417 0 6 NA
## 59 1 -635.0139 0 7 NA
## 60 1 -635.3569 0 8 NA
## 61 1 -635.3589 0 9 NA
## 62 1 -635.1275 0 10 NA
## 63 1 -634.9985 0 11 NA
## 64 1 -634.9180 0 12 NA
## 65 1 -634.8765 0 13 NA
## 66 1 -634.7779 0 14 NA
## 67 1 -635.2587 0 15 NA
## 68 1 -634.7135 0 16 NA
## 69 1 -634.7755 0 17 NA
## 70 1 -634.7151 0 18 NA
## 71 1 -634.8593 0 19 NA
## 72 1 -634.6779 0 20 NA
## 73 1 -634.6213 0 21 NA
## 74 1 -634.5202 0 22 NA
## 75 1 -634.4231 0 23 NA
## 76 1 -634.5507 0 24 NA
## 77 1 -634.2816 0 25 NA
## 78 1 -634.3598 0 26 NA
## 79 1 -634.0976 0 27 NA
## 80 1 -634.4234 0 28 NA
## 81 1 -634.2944 0 29 NA
## 82 1 -634.2073 0 30 NA
## 83 1 -634.1569 0 31 NA
## 84 1 -634.0033 0 32 NA
## 85 1 -633.7245 0 33 NA
## 86 1 -633.5238 0 34 NA
## 87 1 -633.5141 0 35 NA
## 88 1 -633.7529 0 36 NA
## 89 1 -633.7594 0 37 NA
## 90 1 -633.8948 0 38 NA
## 91 1 -633.5911 0 39 NA
## 92 1 -633.7109 0 40 NA
## 93 1 -633.5895 0 41 NA
## 94 1 -633.5190 0 42 NA
## 95 1 -633.6328 0 43 NA
## 96 1 -633.4590 0 44 NA
## 97 1 -633.4419 0 45 NA
## 98 1 -633.5207 0 46 NA
## 99 1 -633.5002 0 47 NA
## 100 1 -633.4873 0 48 NA
## 101 1 -633.3886 0 49 NA
## 102 1 -633.3737 0 50 NA
## 103 1 NA NA 51 NA
## 104 1 -629.9411 NA NA 0.0054694381
## 105 2 NA NA NA NA
## 106 2 -643.7265 0 1 NA
## 107 2 -644.9551 0 2 NA
## 108 2 -638.6021 0 3 NA
## 109 2 -636.6358 0 4 NA
## 110 2 -636.4415 0 5 NA
## 111 2 -636.5354 0 6 NA
## 112 2 -636.3078 0 7 NA
## 113 2 -636.1083 0 8 NA
## 114 2 -636.1614 0 9 NA
## 115 2 -635.8524 0 10 NA
## 116 2 -636.2335 0 11 NA
## 117 2 -635.6988 0 12 NA
## 118 2 -635.4522 0 13 NA
## 119 2 -635.1156 0 14 NA
## 120 2 -635.2513 0 15 NA
## 121 2 -635.0497 0 16 NA
## 122 2 -634.7870 0 17 NA
## 123 2 -634.8383 0 18 NA
## 124 2 -634.8016 0 19 NA
## 125 2 -634.8668 0 20 NA
## 126 2 -635.0953 0 21 NA
## 127 2 -634.5658 0 22 NA
## 128 2 -634.8495 0 23 NA
## 129 2 -634.6315 0 24 NA
## 130 2 -634.3571 0 25 NA
## 131 2 -634.5937 0 26 NA
## 132 2 -634.5633 0 27 NA
## 133 2 -634.2495 0 28 NA
## 134 2 -634.4866 0 29 NA
## 135 2 -634.0989 0 30 NA
## 136 2 -634.2996 0 31 NA
## 137 2 -634.0027 0 32 NA
## 138 2 -634.0338 0 33 NA
## 139 2 -633.8868 0 34 NA
## 140 2 -633.8076 0 35 NA
## 141 2 -634.0806 0 36 NA
## 142 2 -633.7427 0 37 NA
## 143 2 -633.7451 0 38 NA
## 144 2 -633.6579 0 39 NA
## 145 2 -633.7671 0 40 NA
## 146 2 -633.6100 0 41 NA
## 147 2 -633.4696 0 42 NA
## 148 2 -633.7000 0 43 NA
## 149 2 -633.7224 0 44 NA
## 150 2 -633.7553 0 45 NA
## 151 2 -633.5290 0 46 NA
## 152 2 -633.2614 0 47 NA
## 153 2 -633.1851 0 48 NA
## 154 2 -633.2105 0 49 NA
## 155 2 -633.3575 0 50 NA
## 156 2 NA NA 51 NA
## 157 2 -633.0008 0 1 NA
## 158 2 -634.4757 0 2 NA
## 159 2 -634.8027 0 3 NA
## 160 2 -634.6526 0 4 NA
## 161 2 -635.1144 0 5 NA
## 162 2 -634.7963 0 6 NA
## 163 2 -634.6071 0 7 NA
## 164 2 -634.4836 0 8 NA
## 165 2 -634.8094 0 9 NA
## 166 2 -634.3502 0 10 NA
## 167 2 -634.7118 0 11 NA
## 168 2 -634.6921 0 12 NA
## 169 2 -634.4412 0 13 NA
## 170 2 -634.2125 0 14 NA
## 171 2 -634.3307 0 15 NA
## 172 2 -634.0553 0 16 NA
## 173 2 -634.1443 0 17 NA
## 174 2 -633.9897 0 18 NA
## 175 2 -634.2140 0 19 NA
## 176 2 -634.1553 0 20 NA
## 177 2 -634.0790 0 21 NA
## 178 2 -634.3056 0 22 NA
## 179 2 -634.1729 0 23 NA
## 180 2 -633.9861 0 24 NA
## 181 2 -633.9346 0 25 NA
## 182 2 -633.9421 0 26 NA
## 183 2 -633.7841 0 27 NA
## 184 2 -633.6805 0 28 NA
## 185 2 -633.7102 0 29 NA
## 186 2 -633.6468 0 30 NA
## 187 2 -633.4472 0 31 NA
## 188 2 -633.4263 0 32 NA
## 189 2 -633.6061 0 33 NA
## 190 2 -633.4721 0 34 NA
## 191 2 -633.6380 0 35 NA
## 192 2 -633.3527 0 36 NA
## 193 2 -633.3541 0 37 NA
## 194 2 -633.5410 0 38 NA
## 195 2 -633.1148 0 39 NA
## 196 2 -633.3859 0 40 NA
## 197 2 -633.3229 0 41 NA
## 198 2 -633.3547 0 42 NA
## 199 2 -633.1921 0 43 NA
## 200 2 -633.3256 0 44 NA
## 201 2 -633.0127 0 45 NA
## 202 2 -632.9175 0 46 NA
## 203 2 -632.9866 0 47 NA
## 204 2 -633.1779 0 48 NA
## 205 2 -632.9063 0 49 NA
## 206 2 -633.1863 0 50 NA
## 207 2 NA NA 51 NA
## 208 2 -630.5526 NA NA 0.0073736101
## 209 3 NA NA NA NA
## 210 3 -3969.9969 0 1 NA
## 211 3 -899.1932 0 2 NA
## 212 3 -806.3544 0 3 NA
## 213 3 -748.8039 0 4 NA
## 214 3 -702.8813 0 5 NA
## 215 3 -691.8611 0 6 NA
## 216 3 -688.9567 0 7 NA
## 217 3 -680.3281 0 8 NA
## 218 3 -677.0466 0 9 NA
## 219 3 -672.0438 0 10 NA
## 220 3 -668.8746 0 11 NA
## 221 3 -662.9538 0 12 NA
## 222 3 -658.1114 0 13 NA
## 223 3 -654.3529 0 14 NA
## 224 3 -651.9459 0 15 NA
## 225 3 -648.8217 0 16 NA
## 226 3 -648.2974 0 17 NA
## 227 3 -646.6135 0 18 NA
## 228 3 -646.1337 0 19 NA
## 229 3 -645.6760 0 20 NA
## 230 3 -646.1125 0 21 NA
## 231 3 -646.5983 0 22 NA
## 232 3 -645.9866 0 23 NA
## 233 3 -646.1624 0 24 NA
## 234 3 -645.6003 0 25 NA
## 235 3 -646.5380 0 26 NA
## 236 3 -645.9304 0 27 NA
## 237 3 -645.7483 0 28 NA
## 238 3 -645.3986 0 29 NA
## 239 3 -645.6396 0 30 NA
## 240 3 -645.2537 0 31 NA
## 241 3 -645.2989 0 32 NA
## 242 3 -645.1490 0 33 NA
## 243 3 -644.8300 0 34 NA
## 244 3 -644.5006 0 35 NA
## 245 3 -645.1543 0 36 NA
## 246 3 -644.8072 0 37 NA
## 247 3 -644.8590 0 38 NA
## 248 3 -645.1808 0 39 NA
## 249 3 -644.3607 0 40 NA
## 250 3 -644.5016 0 41 NA
## 251 3 -643.9862 0 42 NA
## 252 3 -644.4196 0 43 NA
## 253 3 -644.4951 0 44 NA
## 254 3 -644.8080 0 45 NA
## 255 3 -644.0693 0 46 NA
## 256 3 -643.9666 0 47 NA
## 257 3 -643.9445 0 48 NA
## 258 3 -643.9047 0 49 NA
## 259 3 -643.9147 0 50 NA
## 260 3 NA NA 51 NA
## 261 3 -643.2892 0 1 NA
## 262 3 -645.5664 0 2 NA
## 263 3 -645.6565 0 3 NA
## 264 3 -645.7946 0 4 NA
## 265 3 -645.3223 0 5 NA
## 266 3 -645.6127 0 6 NA
## 267 3 -645.3756 0 7 NA
## 268 3 -645.3346 0 8 NA
## 269 3 -645.5693 0 9 NA
## 270 3 -644.9492 0 10 NA
## 271 3 -645.1353 0 11 NA
## 272 3 -645.1033 0 12 NA
## 273 3 -644.9666 0 13 NA
## 274 3 -644.8984 0 14 NA
## 275 3 -644.7377 0 15 NA
## 276 3 -644.7437 0 16 NA
## 277 3 -645.6453 0 17 NA
## 278 3 -644.9460 0 18 NA
## 279 3 -644.1741 0 19 NA
## 280 3 -644.5279 0 20 NA
## 281 3 -644.8912 0 21 NA
## 282 3 -644.5859 0 22 NA
## 283 3 -644.5895 0 23 NA
## 284 3 -644.5265 0 24 NA
## 285 3 -644.0410 0 25 NA
## 286 3 -644.4292 0 26 NA
## 287 3 -643.8596 0 27 NA
## 288 3 -643.8683 0 28 NA
## 289 3 -643.8667 0 29 NA
## 290 3 -643.1182 0 30 NA
## 291 3 -643.9867 0 31 NA
## 292 3 -643.6758 0 32 NA
## 293 3 -643.4214 0 33 NA
## 294 3 -643.8101 0 34 NA
## 295 3 -643.1844 0 35 NA
## 296 3 -643.4181 0 36 NA
## 297 3 -643.0926 0 37 NA
## 298 3 -643.2144 0 38 NA
## 299 3 -643.4919 0 39 NA
## 300 3 -643.6214 0 40 NA
## 301 3 -643.1884 0 41 NA
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## 2683 26 -637.5702 0 31 NA
## 2684 26 -637.4788 0 32 NA
## 2685 26 -637.5594 0 33 NA
## 2686 26 -637.4241 0 34 NA
## 2687 26 -637.3596 0 35 NA
## 2688 26 -637.5934 0 36 NA
## 2689 26 -637.4813 0 37 NA
## 2690 26 -637.2226 0 38 NA
## 2691 26 -637.3343 0 39 NA
## 2692 26 -637.3032 0 40 NA
## 2693 26 -637.1956 0 41 NA
## 2694 26 -637.2810 0 42 NA
## 2695 26 -636.8676 0 43 NA
## 2696 26 -636.7312 0 44 NA
## 2697 26 -636.5246 0 45 NA
## 2698 26 -637.0564 0 46 NA
## 2699 26 -636.9173 0 47 NA
## 2700 26 -636.7666 0 48 NA
## 2701 26 -636.7045 0 49 NA
## 2702 26 -636.7643 0 50 NA
## [ reached getOption("max.print") -- omitted 49298 rows ]Analyze output
library(GGally)##
## Attaching package: 'GGally'## The following object is masked from 'package:dplyr':
##
## nasashared_params_plot1 = function(data, ..., ll= TRUE){
if(missing(..1)){
ae = aes(color=msg)
} else{
ae = aes(...)
}
cols = c("E_0", "z_0","R_0", "p_S", "p_H_cond_S","gamma", "b_a",
"b_q", "b_p","sigma_M")
collabs = c("E_0", "z_0","R_0", "p_S", "p_H_cond_S", "gamma", "b_a",
"b_q","b_p", "sigma_M")
if(ll) {
cols = c(cols, "loglik")
collabs = c(collabs, "log(L)")
}
data %>%
ggpairs(mapping = ae, upper = NULL, legend = 1,
lower = list(continuous=wrap("points", alpha = 0.5, size = 0.2)),
diag = list(continuous = wrap("densityDiag", alpha = 0.5)),
columns = cols, columLabels = collabs, labeller = "label_parsed") +
theme(legend.position = "bottom", axis.text.x=element_text(angle = -90))
}Plot shared parameters
load(file = paste0("../Generated_Data/Profiles/",
model_name,"_Model/","Grid_Search_MIF_run_1/",
model_name,
"_Grid_Search_MIF_run_1_combined_data_subset_including_traces_and_start.RData"))
head(mif_sim_combined_output_with_traces_df)## M_0 V_0 K_0 R_0 b_q b_a b_p p_S p_H_cond_S phi_E
## 1 5 13 14 2.412468 0.4416637 0.5396230 0 0.8046790 0.2628008 1.09
## 2 5 13 14 2.412468 0.4416637 0.5396230 0 0.8046790 0.2628008 1.09
## 3 5 13 14 2.560549 0.3413616 0.4824313 0 0.8237105 0.2407564 1.09
## 4 5 13 14 2.754835 0.2089228 0.5218541 0 0.7827363 0.2020443 1.09
## 5 5 13 14 3.418725 0.1687828 0.5131164 0 0.7901393 0.2119792 1.09
## 6 5 13 14 4.024363 0.1401924 0.5160041 0 0.8126989 0.1420537 1.09
## phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 1.09 0.2 0.125 0.4660418 8e+06 9589.921 4768.716 0
## 2 1.09 0.2 0.125 0.4660418 8e+06 9589.921 4768.716 0
## 3 1.09 0.2 0.125 0.5127500 8e+06 9312.537 4726.688 0
## 4 1.09 0.2 0.125 0.6098783 8e+06 9237.455 4791.424 0
## 5 1.09 0.2 0.125 0.7906985 8e+06 9365.036 4807.121 0
## 6 1.09 0.2 0.125 0.7640009 8e+06 9280.389 4803.246 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.1170890
## 2 17 22 0.9 0.1170890
## 3 17 22 0.9 0.5046780
## 4 17 22 0.9 0.3739315
## 5 17 22 0.9 0.3033004
## 6 17 22 0.9 0.2871302
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 2 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 3 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 4 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 5 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 6 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## G_w_y_scaling msg iter_num param_index loglik nfail trace_num
## 1 0.162 start 3 1 NA NA NA
## 2 0.162 first_trace 3 1 -869.0832 0 1
## 3 0.162 first_trace 3 1 -669.0413 0 2
## 4 0.162 first_trace 3 1 -649.4983 0 3
## 5 0.162 first_trace 3 1 -643.1247 0 4
## 6 0.162 first_trace 3 1 -638.5519 0 5
## loglist.se
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NAload(file = paste0("../Generated_Data/Profiles/", model_name,"_Model/","Grid_Search_MIF_run_1/",
model_name, "_Grid_Search_MIF_run_1_combined_data.RData"))
head(mif_sim_combined_output_df)## M_0 V_0 K_0 R_0 b_q b_a b_p p_S p_H_cond_S
## 1 5 13 14 5.883121 0.93214007 0.5123999 0 0.1359062 0.3735517
## 2 5 13 14 25.679210 0.04331488 0.4653650 0 0.1497828 0.6199107
## 3 5 13 14 4.990241 0.49076665 0.4625613 0 0.3424364 0.2245220
## 4 5 13 14 5.040920 0.11998162 0.7382745 0 0.3773241 0.1767405
## 5 5 13 14 2.412468 0.44166372 0.5396230 0 0.8046790 0.2628008
## 6 5 13 14 4.662393 0.12059422 0.6883708 0 0.5929974 0.1551997
## phi_E phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 1.09 1.09 0.2 0.125 0.4608219 8e+06 5030.176 3712.279 0
## 2 1.09 1.09 0.2 0.125 2.9115623 8e+06 7142.424 5077.334 0
## 3 1.09 1.09 0.2 0.125 0.5335474 8e+06 13629.668 6149.248 0
## 4 1.09 1.09 0.2 0.125 17.3948547 8e+06 22528.896 4862.690 0
## 5 1.09 1.09 0.2 0.125 0.4660418 8e+06 9589.921 4768.716 0
## 6 1.09 1.09 0.2 0.125 4.8184949 8e+06 14264.687 3496.775 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.09867105
## 2 17 22 0.9 0.30525948
## 3 17 22 0.9 0.48712651
## 4 17 22 0.9 0.28146121
## 5 17 22 0.9 0.11708904
## 6 17 22 0.9 0.28128330
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 2 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 3 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 4 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 5 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 6 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## G_w_y_scaling msg iter_num param_index loglik nfail trace_num
## 1 0.162 start 1 1 NA NA NA
## 2 0.162 mif1 1 1 -645.8693 NA NA
## 3 0.162 start 2 1 NA NA NA
## 4 0.162 mif1 2 1 -629.8487 NA NA
## 5 0.162 start 3 1 NA NA NA
## 6 0.162 mif1 3 1 -629.9411 NA NA
## loglist.se
## 1 NA
## 2 0.012978255
## 3 NA
## 4 0.007197377
## 5 NA
## 6 0.005469438top_2_LL_params = mif_sim_combined_output_df %>%
mutate(loglik = loglik-max(loglik, na.rm = TRUE)) %>%
filter(is.na(loglik) | loglik>-2)
top_2_LL_params = top_2_LL_params %>%
filter(msg == "mif1" || msg == "start")
mif_1_result_plot = top_2_LL_params%>%
shared_params_plot1()## Warning in warn_if_args_exist(list(...)): Extra arguments: 'columLabels'
## are being ignored. If these are meant to be aesthetics, submit them
## using the 'mapping' variable within ggpairs with ggplot2::aes or
## ggplot2::aes_string.png("../Figures/Profiles/N_12_Model/MIF_Run_1/MIF_Run_1_Histogram_Result_Plot.png")
print(mif_1_result_plot)## Warning: Removed 25000 rows containing missing values (geom_point).## Warning: Removed 25000 rows containing missing values (geom_point).
## Warning: Removed 25000 rows containing missing values (geom_point).
## Warning: Removed 25000 rows containing missing values (geom_point).
## Warning: Removed 25000 rows containing missing values (geom_point).
## Warning: Removed 25000 rows containing missing values (geom_point).
## Warning: Removed 25000 rows containing missing values (geom_point).
## Warning: Removed 25000 rows containing missing values (geom_point).
## Warning: Removed 25000 rows containing missing values (geom_point).
## Warning: Removed 25000 rows containing missing values (geom_point).## Warning: Removed 25000 rows containing non-finite values (stat_density).dev.off()## quartz_off_screen
## 2Analyze R_0 values
top_2_LL_end_params = top_2_LL_params %>%
filter(msg == "mif1")
top_2_LL_end_params$R_0## [1] 5.040920 4.662393 5.579049 7.162057 7.141834 4.833856
## [7] 4.857989 6.710488 5.956665 4.558041 6.245366 4.199673
## [13] 4.360468 4.806548 4.663417 4.390696 4.802105 4.650602
## [19] 4.009526 4.445180 4.652124 6.106006 5.288827 4.313748
## [25] 6.971422 4.190706 4.584135 6.347998 5.130826 5.078844
## [31] 4.910210 4.732912 4.993311 6.041788 4.112584 5.938039
## [37] 8.215966 4.362688 4.513596 4.602916 4.310644 5.306637
## [43] 8.872411 5.108632 5.197506 4.498765 4.514667 4.919962
## [49] 5.092042 3.815817 4.816223 4.423404 5.491947 6.533819
## [55] 4.536203 10.076365 4.429805 5.190391 4.613371 4.185393
## [61] 4.336388 5.271033 5.137160 4.468272 6.849419 4.339646
## [67] 4.409145 5.285391 4.293706 3.992733 5.940501 5.038933
## [73] 7.923319 5.470650 5.508802 5.747641 5.076829 6.768167
## [79] 6.138296 4.967275 4.090892 4.637768 5.608143 4.542638
## [85] 16.113227 4.368757 5.135350 4.826347 4.567840 4.660970
## [91] 5.230719 7.633848 5.049012 16.773204 4.912118 4.756288
## [97] 4.145150 5.553403 4.634486 5.760372 4.491082 5.111089
## [103] 7.258484 3.792157 6.146753 6.849457 8.003604 4.333706
## [109] 4.286066 4.731326 7.047511 4.617850 4.831479 4.704810
## [115] 4.483467 9.590295 4.488475 11.981744 4.421509 4.247799
## [121] 4.585675 4.706421 9.138327 5.866224 4.696295 4.521744
## [127] 5.542846 4.521041 6.361959 4.413216 4.396862 12.403918
## [133] 4.733356 4.451336 10.593011 6.652658 6.027119 4.761823
## [139] 4.454540 5.453480 4.685014 8.128665 4.870761 4.336892
## [145] 4.543516 4.979386 4.690175 5.089506 4.732370 5.002321
## [151] 6.241187 6.790335 16.271542 8.435579 4.363524 4.683865
## [157] 4.563719 4.536432 4.730598 5.071517 4.326604 4.183615
## [163] 4.221714 4.503226 4.658247 4.034296 5.207319 4.896833
## [169] 4.685351 4.522236 5.496592 4.511154 4.164807 4.213470
## [175] 12.736573 4.618532 12.087524 6.005686 6.048296 4.460231
## [181] 4.802852 4.241442 7.118287 5.508801 17.304618 8.823666
## [187] 11.805702 9.203111 5.217129 5.300003 4.659105 6.718617
## [193] 5.957285 4.713588 4.892823 4.586621 4.892418 4.199230
## [199] 5.910872 5.648821 5.283282 4.986426 5.371035 6.000415
## [205] 6.065443 6.249385 5.038700 4.091596 13.090787 4.115516
## [211] 4.577917 5.138769 3.729808 4.807238 4.653844 4.536264
## [217] 5.054816 4.812013 4.567074 5.220798 5.628633 7.197505
## [223] 7.447020 7.108255 5.176298 4.772298 6.295391 4.561553
## [229] 5.497298 5.307853 4.476099 6.219082 5.319566 6.114736
## [235] 5.416732 6.944641 4.970086 7.388569 4.429155 5.881018
## [241] 4.008311 4.437360 5.754581 6.109298 4.696833 6.031475
## [247] 4.360093 5.209749 4.170598 4.612629 5.974540 5.041436
## [253] 5.319778 4.468146 5.229086 4.579213 4.743390 4.771031
## [259] 6.218754 4.877130 4.516819 9.002530 4.367710 5.100003
## [265] 4.965694 5.120866 5.225752 5.145216 4.570233 5.509446
## [271] 4.476587 4.436022 4.424637 4.131367 7.081412 4.334861
## [277] 4.567830 11.645894 6.151456 4.380644 4.918303 5.337476
## [283] 4.772742 4.322670 5.697259 5.781922 4.912738 6.515821
## [289] 4.469110 5.904491 6.163256 4.379963 4.530292 4.951227
## [295] 3.773249 5.399065 4.570537 7.103678 5.834759 6.009838
## [301] 6.162208 4.573641 6.440020 4.101959 4.828081 4.078684
## [307] 4.328551 4.515070 4.555480 4.389564 5.024379 5.757656
## [313] 5.082424 3.956616 4.611561 4.416625 19.347848 6.054942
## [319] 4.672644 7.226283 4.581425 7.826569 4.402179 5.123254
## [325] 4.886114 4.759351 5.102616 5.365434 4.456858 4.370809
## [331] 4.409120 4.303217 6.449432 5.078697 6.392409 4.557081
## [337] 4.778021 5.508898 15.622597 7.691253 4.455591 3.873497
## [343] 4.226759 3.759366 4.987016 5.005914 4.605080 4.735011
## [349] 4.483194 5.085536 6.884920 4.333391 5.349017 4.061311
## [355] 5.485124 5.081876 5.718631 4.529853 6.239349 6.319494
## [361] 4.680223 4.474489 4.789462 5.397563 8.921835 7.078316
## [367] 6.906636 5.545798 5.328930 7.104821 4.506091 4.469403
## [373] 4.683387 4.693074 11.071176 4.676999 5.039314 4.620469
## [379] 4.338119 7.482828 4.827106 8.747613 4.276531 4.526615
## [385] 6.490968 5.589109 4.120098 4.528781 6.384959 4.227965
## [391] 4.716805 4.698136 4.743301 4.218522 5.110903 4.764557
## [397] 4.780040 3.847514 4.500596 6.788449 5.901188 4.983209
## [403] 4.190533 5.399930 7.521194 4.765801 4.158549 4.268172
## [409] 16.830847 4.166217 7.870965 4.678023 11.005515 4.206925
## [415] 5.361257 8.526805 5.808708 4.699658 6.146013 8.535823
## [421] 4.711675 5.845377 5.800317 5.320393 5.983486 6.096827
## [427] 4.611973 6.259067 7.465524 4.804556 4.188240 5.144646
## [433] 5.040224 4.006594 6.344695 4.825260 8.345664 4.439355
## [439] 4.593458 4.619209 5.964832 4.500701 4.775069 4.622095
## [445] 5.136922 7.338513 5.193962 4.192088 5.186927 4.838726
## [451] 5.009678 4.460810 4.799584 4.889493 4.064686 7.340800
## [457] 4.174100 8.772515 4.423919 4.270805 4.481697 4.315498
## [463] 5.829943 4.265497 7.651553 4.124919 6.091761 4.603675
## [469] 4.373690 5.253631 6.336268 8.949318 4.889939 3.309957
## [475] 6.207981 4.371900 4.703044 4.599878 4.582555 5.438928
## [481] 4.559572 4.881238 4.408600 4.182829 4.492898 4.455730
## [487] 5.586772 4.197396 10.350069 4.644785 6.316568 9.039955
## [493] 4.632389 4.867365 4.338352 4.053863 6.399628 4.565622
## [499] 10.195346 4.983062 3.889667 7.730103 6.595536 4.534588
## [505] 4.919987 4.278637 5.623806 4.591391 5.021503 5.262207
## [511] 4.838383 5.158730 4.974692 4.575851 5.136926 5.433093
## [517] 6.550849 7.558132 5.677855 5.689971 4.325257 7.941943
## [523] 5.091853 4.618554 5.497979 10.031686 4.697815 8.992206
## [529] 4.456674 4.103583 4.132802 4.370366 4.474611 5.595164
## [535] 8.990443 5.005810 3.955725 6.791140 5.551428 3.929972
## [541] 5.674572 4.538412 4.517124 5.231707 5.745745 7.523185
## [547] 5.002966 7.190377 8.228528 5.712716 6.211372 4.348987
## [553] 9.131861 4.262517 4.808667 4.817840 8.893778 4.652733
## [559] 4.254964 4.531512 4.497559 4.089363 6.889743 7.154333
## [565] 4.773093 5.421455 6.247988 4.300800 4.628519 4.896184
## [571] 5.220011 5.016127 5.111355 5.394882 5.274019 4.718534
## [577] 4.774823 4.439759 4.363545 4.289079 5.746843 5.152467
## [583] 4.613609 4.376118 3.880902 5.125733 7.247252 4.004002
## [589] 6.276859 4.307007 3.966268 4.987558 5.007835 4.373146
## [595] 4.976842 4.216248 4.368227 4.398304 4.227916 5.816930
## [601] 5.342076 4.762875 4.952695 8.557473 5.423952 10.137660
## [607] 5.137075 5.556534 5.386192 4.905647 8.251089 4.703298
## [613] 4.657769 4.642695 4.481051 5.049606 4.074970 10.824678
## [619] 5.182544 4.740520 4.606631 4.964281 5.141262 4.630900
## [625] 4.990671 5.570823 5.491330 4.948476 5.591865 5.343045
## [631] 4.285591 5.287155 3.420072 4.878660 5.605984 3.895397
## [637] 7.115484 4.231188 4.575937 5.165133 6.813278 4.215557
## [643] 5.856178 5.028496 6.984553 5.584177 7.682910 6.407891
## [649] 4.342327 4.391283 5.255694 5.310193 4.572690 4.337913
## [655] 8.763663 6.570351 4.547243 5.799680 5.958511 6.765119
## [661] 6.236213 4.575908 4.855647 5.818933 5.337572 4.427817
## [667] 4.402433 4.095364 4.815293 7.710655 4.145745 4.186492
## [673] 4.680154 4.517962 4.539528 4.169195 4.647844 4.433540
## [679] 4.182390 4.865350 4.745525 4.513622 4.752367 5.200705
## [685] 4.132900 5.018174 4.395306 6.189450 4.853065 5.606262
## [691] 4.126673 4.615450 5.962208 4.401162 5.489608 6.830433
## [697] 5.403582 4.714595 4.770024 4.900816 4.066976 3.734982
## [703] 4.767596 4.715148 5.365689 5.204211 7.403578 6.563343
## [709] 5.021277 4.110149 7.710053 6.310446 4.102805 4.387135
## [715] 8.681878 5.353606 5.198009 4.567817 6.696836 5.424097
## [721] 4.233911 7.950038 7.420304 4.438671 4.340374 4.403552
## [727] 5.696494 4.842419 4.575541 5.328912 9.767238 4.419535
## [733] 4.752424 4.111985 5.839094 4.230242 4.416150 4.690267
## [739] 6.506997 4.189383 6.077344 4.446266 7.488646 4.459179
## [745] 4.721395 6.499029 5.431066 5.312590 4.217354 5.216427
## [751] 6.736617 4.616097 5.731758 5.476071 5.003837 4.856269
## [757] 4.979594 5.423036 5.251163 4.607760 5.005958 4.159619
## [763] 6.299699 4.397186 4.257109 5.727979 4.733729 10.376363
## [769] 4.963030 6.377510 4.120888 6.653664 5.084560 4.515353
## [775] 4.478181 3.652349 4.595632 6.517069 4.287408 10.587511
## [781] 4.573597 5.712931 6.354777 4.574640 4.298376 4.454840
## [787] 5.228884 4.429691 5.076623 4.075630 4.325559 12.013347
## [793] 4.666764 4.685039 4.763832 3.720014 5.782313 4.082193
## [799] 4.895377 8.350336 4.410370 6.173061 6.412933 5.746388
## [805] 10.326372 4.805807 4.831946 7.781991 11.876430 6.309376
## [811] 4.825760 4.761717 8.003024 4.163500 5.035072 4.460162
## [817] 5.474307 4.339655 4.510380 4.735240 4.761808 4.951854
## [823] 5.103467 4.225663 8.609029 4.974726 5.941775 4.687429
## [829] 4.800184 5.071703 7.670017 4.349950 3.913835 5.386220
## [835] 4.434786 7.638343 4.184740 3.882345 4.068336 6.109012
## [841] 4.218989 5.101757 5.019545 9.624169 4.291400 4.564467
## [847] 9.426152 5.683455 5.339727 5.757245 6.715912 4.597221
## [853] 4.329781 4.513203 6.173315 5.189359 5.739832 11.093776
## [859] 6.187016 4.701672 7.371624 4.631586 6.184012 7.076224
## [865] 4.708222 4.812005 5.285436 4.517713 4.757271 4.922304
## [871] 6.946060 3.943046 4.314962 5.766910 4.339804 4.315456
## [877] 6.179973 4.617404 4.433495 5.315887 5.124989 4.288286
## [883] 7.905221 5.544797 5.144754 4.840837 4.585566 4.572841
## [889] 4.814362 4.707848 5.865492 4.542274 5.051022 5.570926
## [895] 5.248544 9.382379 4.645629 6.498484 5.212386 4.140372
## [901] 5.312385 5.918956 5.342753 5.963591 4.069425 4.410325
## [907] 4.246825 3.311053 4.290255 3.561640 4.381590 4.923592
## [913] 4.636247 4.246730 4.617433 4.776047 7.604812 4.506219
## [919] 11.861352 5.464704 7.368632 3.841435 4.656945 4.600158
## [925] 4.324472 6.509169 5.396682 4.845504 5.279287 4.241539
## [931] 3.902377 6.123345 4.927600 6.852643 5.099795 5.936923
## [937] 4.753758 5.963497 8.817197 8.505590 5.321150 4.941084
## [943] 4.829064 5.392615 4.777177 4.783607 4.324315 4.712356
## [949] 4.299479 4.230464 6.435954 5.877539 5.473924 4.926995
## [955] 4.896678 4.470966 4.563889 5.768130 4.777888 5.101428
## [961] 3.574025 5.205457 4.218572 4.743055 5.959437 5.580426
## [967] 4.638223 4.232841 5.064968 4.748832 4.053031 4.159929
## [973] 4.640728 5.365902 4.981764 4.832234 4.680184 4.261738
## [979] 4.145066 5.124651 7.835062 5.258389 4.600420 4.700591
## [985] 4.569017 4.829788 5.396247 4.683707 5.563200 5.594520
## [991] 4.719921 6.509833 7.526530 8.352481 6.365110 5.168553
## [997] 4.577808 7.976766 5.088397 7.013495 5.488691 4.344553
## [1003] 15.256064 6.328657 5.383441 4.169540 4.482362 4.660131
## [1009] 4.524095 4.626954 4.530583 5.144982 4.747837 4.750108
## [1015] 8.649083 4.976098 4.655830 4.833179 4.212915 5.305157
## [1021] 5.040112 4.384706 4.583679 5.114578 4.615033 4.241636
## [1027] 5.045197 4.105956 4.048414 4.740343 10.772116 6.026068
## [1033] 6.918897 5.542797 5.573609 4.560891 4.293583 6.993613
## [1039] 4.156982 8.008209 4.889640 4.309578 4.986000 4.335591
## [1045] 5.149982 6.661433 4.789197 6.211411 4.990078 4.415933
## [1051] 4.249434 5.073118 4.140800 8.943986 4.610375 4.968069
## [1057] 9.882429 4.331729 4.998135 5.278212 5.163878 4.468787
## [1063] 5.141791 5.129200 5.087847 6.190993 5.309211 4.490624
## [1069] 5.166644 5.154665 9.451799 4.821688 5.223110 4.740481
## [1075] 6.150838 3.908979 4.279130 10.547121 4.832121 5.603198
## [1081] 4.589190 4.037619 4.728980 4.150904 4.193045 4.028457
## [1087] 5.605607 4.357344 4.892705 4.160814 4.740036 4.100197
## [1093] 6.718144 4.909424 6.813554 5.130442 4.558672 5.102741
## [1099] 6.096540 4.768670 4.784959 10.753647 4.169677 5.103065
## [1105] 4.647271 4.230064 4.352281 4.478331 6.255100 6.112016
## [1111] 4.882067 6.787814 5.267120 5.612044 5.290331 5.700319
## [1117] 4.537844 4.753886 4.719797 4.581286 5.152477 6.014722
## [1123] 4.975435 4.420559 5.770780 4.232936 5.147242 5.539517
## [1129] 4.984115 5.427747 4.352720 4.563293 4.922414 4.052746
## [1135] 4.142778 4.493666 6.030755 4.141745 4.599922 3.997478
## [1141] 5.432271 4.765860 6.276385 8.999334 4.127173 5.381896
## [1147] 4.647903 4.220325 4.151476 6.738015 5.085367 6.161951
## [1153] 4.789745 5.801560 6.561316 5.407430 4.504161 4.322600
## [1159] 5.123616 4.957748 4.498970 4.563207 5.671830 4.401961
## [1165] 6.962507 5.219069 4.459063 4.885741 4.925284 4.350182
## [1171] 4.614236 8.405720 4.935748 6.180843 4.461392 4.898556
## [1177] 4.234169 4.575248 6.069993 4.133392 8.948582 4.569320
## [1183] 4.464893 6.164098 5.073502 6.056076 4.672886 4.711737
## [1189] 4.483457 4.638722 8.096485 4.537965 8.179226 4.357602
## [1195] 5.021661 4.162038 4.555027 5.389736 4.556470 4.742726
## [1201] 4.635751 6.388165 6.747267 4.012366 4.277252 4.177722
## [1207] 4.034283 4.567727 4.183265 4.523275 5.921018 6.181347
## [1213] 4.350689 4.233646 5.788373 6.434335 8.917136 5.844336
## [1219] 8.712876 4.301252 4.769633 4.267492 6.983339 4.181197
## [1225] 9.594133 7.576078 5.826559 5.872346 4.668902 4.431707
## [1231] 5.727598 4.368906 5.042525 4.915229 4.563634 11.608872
## [1237] 4.973077 6.677658 4.842454 6.203220 4.094309 5.252132
## [1243] 4.880324 4.455576 5.013733 5.177156 4.558892 4.943777
## [1249] 6.478005 4.207789 8.403630 5.162718 5.534043 4.780757
## [1255] 4.859338 4.626242 6.173184 5.175266 9.880118 4.049533
## [1261] 7.153721 4.434774 4.931224 3.887312 4.886324 5.100252
## [1267] 6.624634 4.617177 4.385633 5.124465 6.605127 4.415521
## [1273] 4.874829 6.257810 4.281432 5.762622 6.243954 5.484015
## [1279] 4.084111 7.279223 5.380594 4.727700 7.386252 4.188049
## [1285] 5.952759 4.166441 4.211920 3.933965 4.274623 4.869540
## [1291] 5.385189 16.854570 7.811908 4.163719 4.540771 4.410727
## [1297] 4.773615 5.991279 5.223364 5.229198 4.517265 10.052036
## [1303] 4.822731 4.855800 4.221825 4.495958 4.887900 4.502625
## [1309] 4.449007 4.649836 4.868991 4.637980 6.210061 5.286623
## [1315] 4.373711 7.157344 5.346183 4.438530 7.347157 4.923260
## [1321] 4.355025 4.276878 4.701953 5.231189 7.402490 4.128553
## [1327] 4.969329 4.084829 5.517616 4.592559 4.262249 5.207295
## [1333] 4.754381 5.685030 4.556132 4.774072 4.747242 6.394712
## [1339] 4.079916 5.290490 10.785307 5.120513 5.408986 5.089116
## [1345] 4.852055 4.402039 4.497216 4.785120 5.719092 4.211252
## [1351] 3.954770 5.694054 4.879466 4.401792 4.326902 4.295808
## [1357] 4.604829 5.177271 4.396774 4.803079 4.540126 4.192822
## [1363] 4.985956 4.725632 5.852088 4.538535 4.945147 4.373359
## [1369] 4.942624 5.602622 5.215399 4.712209 4.303997 5.361253
## [1375] 4.506023 5.497680 5.967075 4.602626 5.495863 4.201371
## [1381] 4.676669 5.287850 4.688344 5.159225 6.297656 4.346070
## [1387] 11.662320 4.646104 5.232205 4.573502 5.319234 4.226761
## [1393] 5.882118 3.860093 3.574855 3.355432 4.571917 4.314311
## [1399] 4.380590 4.992644 5.014253 5.045937 4.379845 6.109878
## [1405] 4.759795 4.116361 5.246000 4.249937 11.465809 5.194934
## [1411] 5.574308 5.858485 4.305315 4.544422 4.864944 4.453174
## [1417] 4.533174 7.123984 4.234713 4.310380 5.562789 4.079702
## [1423] 4.695562 4.978632 4.174857 5.168622 4.506543 5.075962
## [1429] 5.765806 4.672825 5.373354 4.589818 5.775198 5.357396
## [1435] 6.245399 5.623083 15.908346 5.492059 4.179631 6.034784
## [1441] 5.630244 4.522715 8.412140 4.676772 4.595688 5.312828
## [1447] 5.138816 4.763408 5.496681 4.793034 5.358095 4.355135
## [1453] 4.992466 3.808219 5.680480 4.122615 4.932094 4.977943
## [1459] 5.379364 4.076388 4.574434 4.207288 4.909948 5.815887
## [1465] 5.043222 5.208849 4.721506 4.923193 5.122199 4.504479
## [1471] 5.035379 5.228860 4.652787 4.936710 4.368002 5.256147
## [1477] 4.860601 4.449206 4.493434 4.955392 4.166703 4.729655
## [1483] 4.550871 4.597734 4.210411 4.142818 4.730218 4.619029
## [1489] 4.426775 5.215425 3.750871 4.665542 5.754185 4.772002
## [1495] 4.706843 7.209952 4.304873 5.190443 4.572419 4.932678
## [1501] 5.467756 4.261680 5.157422 4.771360 4.321717 4.411417
## [1507] 4.620596 4.693021 4.254203 4.758240 6.288973 5.223268
## [1513] 4.965039 5.457854 5.790155 10.073986 4.338525 4.486179
## [1519] 5.895670 5.212189 6.479124 5.239374 5.150018 4.565496
## [1525] 5.645302 6.992109 4.480608 4.461839 5.773388 4.860011
## [1531] 4.785801 6.043493 4.770377 5.540256 4.011811 4.581770
## [1537] 5.208719 4.981040 4.743530 4.125579 4.464689 5.306158
## [1543] 6.282910 9.207625 4.513602 11.183690 4.325809 4.400519
## [1549] 5.338499 5.293399 5.483151 4.789569 5.701092 4.843595
## [1555] 6.431405 4.264257 5.044776 4.367149 4.990014 5.285257
## [1561] 4.062620 4.241840 4.589374 8.382150 4.381642 4.176466
## [1567] 12.135349 5.722595 3.870917 4.939213 6.236698 5.101750
## [1573] 5.225558 4.336187 4.770543 5.219391 4.317082 9.917884
## [1579] 6.157984 4.629905 4.613859 5.564415 4.797283 4.698279
## [1585] 4.638326 4.371107 16.881085 4.914777 7.274896 4.387131
## [1591] 5.289971 4.181083 5.263471 5.316077 4.914067 5.462299
## [1597] 5.351492 5.211921 5.610785 8.852581 4.424240 5.515613
## [1603] 5.503792 4.264874 5.355692 4.860926 3.964236 4.652201
## [1609] 4.169846 6.656467 5.099486 6.051732 4.342795 4.346540
## [1615] 6.020719 7.366576 4.400915 4.677927 4.150056 5.954801
## [1621] 6.727312 4.662995 14.965275 4.212120 4.692049 3.724283
## [1627] 7.386460 4.271727 4.570420 6.647469 4.023854 6.020580
## [1633] 5.030331 4.097614 4.721393 4.809528 5.038371 5.029281
## [1639] 6.148291 6.403812 5.309713 4.554235 7.950243 4.628485
## [1645] 7.847132 4.202165 5.370741 4.993392 5.381359 6.057762
## [1651] 7.049605 9.726980 4.675436 3.902057 4.855552 4.791402
## [1657] 8.581004 5.742591 4.455132 5.552976 4.791069 4.822600
## [1663] 5.147557 4.303430 4.029300 3.935036 4.220011 4.477733
## [1669] 6.039406 4.719490 4.818170 7.708480 3.912670 4.814167
## [1675] 4.407844 5.085718 6.744623 7.277487 4.580670 4.641217
## [1681] 9.376614 4.758231 5.158546 4.173349 4.467705 4.129668
## [1687] 6.230256 8.986329 5.325718 4.560750 4.598382 4.433911
## [1693] 4.702301 5.521135 6.283344 4.286076 8.591991 4.814254
## [1699] 4.668389 4.471108 4.288913 11.158077 5.222289 4.440450
## [1705] 5.529619 4.586069 4.665080 4.309395 4.330638 4.499427
## [1711] 6.074545 4.204283 4.805988 4.280851 6.116301 4.524184
## [1717] 4.180170 4.280259 6.167557 16.563943 3.812134 8.183149
## [1723] 4.989427 4.584172 5.456993 4.975342 5.323377 4.814463
## [1729] 4.590752 4.452195 6.184091 5.746478 6.252195 4.480804
## [1735] 4.745301 4.476890 7.862355 4.942090 11.403860 4.512164
## [1741] 5.777367 4.986255 3.947379 4.316528 4.357994 4.377796
## [1747] 4.080738 12.845024 4.339668 5.187987 4.845196 4.386431
## [1753] 3.975889 4.476095 4.597155 5.896067 4.341729 5.240416
## [1759] 5.268700 5.372461 4.347653 5.563024 4.984188 4.548444
## [1765] 6.205256 4.744033 4.890887 6.085963 7.202997 4.341506
## [1771] 5.132213 4.652812 6.860818 4.740236 9.831027 7.221399
## [1777] 4.426070 4.681878 4.535121 5.814750 5.330608 6.197546
## [1783] 4.601608 4.152086 4.549222 7.498501 4.906723 4.928412
## [1789] 6.317238 4.475154 6.672863 6.233793 4.607978 4.338454
## [1795] 6.619979 4.453091 5.107266 9.069946 4.327843 6.787388
## [1801] 4.508963 4.318418 6.291082 5.552687 7.457062 5.574051
## [1807] 6.517517 8.704907 5.547931 4.730513 6.884275 5.705470
## [1813] 4.283979 4.718444 4.633084 4.212013 6.253968 4.927723
## [1819] 5.604591 6.278022 4.489684 4.969995 4.373009 5.100760
## [1825] 5.024255 4.363983 5.145831 5.057077 4.502357 5.416743
## [1831] 4.800890 4.132384 4.241523 5.487710 8.221758 4.749769
## [1837] 5.384328 4.548042 5.057722 12.902112 5.545494 7.094042
## [1843] 5.131682 3.981496 4.612602 3.900668 5.109064 4.555654
## [1849] 4.471808 5.510693 4.631884 4.291418 4.572655 6.635375
## [1855] 4.473964 5.051227 14.137641 4.761068 8.020988 5.564036
## [1861] 4.464557 4.532703 4.021460 4.618192 18.074123 5.448742
## [1867] 4.127701 5.114703 4.646469 4.122331 4.567988 3.725522
## [1873] 5.323733 7.624483 6.197761 4.771342 4.126540 4.239947
## [1879] 7.787232 3.776543 11.615043 4.677641 4.454443 4.793547
## [1885] 4.108329 4.115639 4.595319 5.234633 7.246127 4.647908
## [1891] 4.870685 7.524995 4.083890 6.182958 4.350944 4.301433
## [1897] 4.462970 5.430680 4.715043 7.576256 6.436589 4.809825
## [1903] 5.803134 7.298625 4.292732 4.365671 4.682881 4.361966
## [1909] 4.331249 4.821386 4.562647 5.194578 4.929127 5.053160
## [1915] 5.509417 4.378200 5.137212 4.470701 5.011651 8.256627
## [1921] 4.341022 4.561372 3.856855 5.268057 4.040974 4.714272
## [1927] 4.741539 4.666007 4.604611 8.005312 4.377655 5.753333
## [1933] 9.572220 5.307134 4.640761 4.240817 4.437352 4.733594
## [1939] 5.275484 4.729054 4.761592 7.048367 4.973651 5.312675
## [1945] 7.471017 4.192343 4.035891 6.347686 4.322344 3.852616
## [1951] 4.692327 13.342201 4.822208 5.256948 6.323177 7.038480
## [1957] 5.916990 5.033281 4.002340 4.603693 4.657296 5.777947
## [1963] 5.706898 14.188183 4.958983 4.525626 5.745435 4.608516
## [1969] 4.327315 6.403416 5.772245 4.699939 4.534674 6.562238
## [1975] 4.498482 5.189743 6.064303 4.091157 5.355673 5.042584
## [1981] 4.727015 4.710505 4.435842 9.699497 4.784590 6.661864
## [1987] 4.246350 6.411092 4.707834 4.171179 4.471860 7.926942
## [1993] 11.366083 4.444005 5.241150 4.985425 5.348731 4.507364
## [1999] 4.174956 6.002922 4.367488 7.556141 4.254089 5.238421
## [2005] 6.479474 4.660289 5.212328 4.343334 4.449083 5.236530
## [2011] 4.147903 5.452069 5.237293 6.249391 5.146272 4.403317
## [2017] 4.299170 5.068066 5.307042 4.488790 4.373787 4.847124
## [2023] 4.407479 5.699811 5.452957 4.409652 4.468123 3.985789
## [2029] 4.446328 5.630623 5.568141 5.747438 4.101311 5.836075
## [2035] 4.638901 4.364856 4.501473 4.374851 5.258212 5.036208
## [2041] 6.247702 4.392189 5.417129 7.605019 4.647669 5.485735
## [2047] 4.754946 5.913093 4.554233 4.321631 9.338230 4.600776
## [2053] 4.565800 4.728503 4.191712 5.077625 12.118381 4.225264
## [2059] 8.462996 4.664579 4.410492 7.019979 6.357659 6.274833
## [2065] 4.232952 6.539902 4.481441 6.873299 4.194820 6.921781
## [2071] 4.482351 4.362677 13.200241 8.381747 4.974250 4.821844
## [2077] 3.886809 4.876524 6.519394 5.183781 5.353529 4.903689
## [2083] 4.425015 8.854715 4.427450 8.929545 5.409214 5.261733
## [2089] 4.812433 5.830618 5.357649 4.545649 5.195536 6.387169
## [2095] 4.737951 4.531462 4.414608 4.877915 4.305027 5.034910
## [2101] 5.701769 4.267006 4.339948 5.290939 5.260969 4.908515
## [2107] 4.355603 4.071090 5.335310 6.314242 4.160069 6.607303
## [2113] 4.966331 4.941929 5.454791 11.608386 4.251954 5.800949
## [2119] 5.158944 5.178600 5.422828 5.422959 4.374145 5.141133
## [2125] 4.298306 6.394834 4.571105 4.960932 4.593717 4.642179
## [2131] 4.417309 6.366486 6.616284 4.164156 4.351081 13.069844
## [2137] 5.030108 5.166986 7.965317 4.557784 4.246963 4.947996
## [2143] 5.332197 4.604812 4.578729 5.913258 4.393735 5.220370
## [2149] 4.356651 4.170019 3.975217 4.502846 4.241164 5.018119
## [2155] 4.866215 5.164095 4.463737 4.574404 4.265078 4.255702
## [2161] 5.725376 6.405753 4.404253 4.597953 7.182379 8.171697
## [2167] 5.838253 4.368140 5.629377 4.683879 4.704389 4.762594
## [2173] 4.515596 4.526741 5.011175 4.593786 6.020834 16.848323
## [2179] 5.485765 8.796123 4.415459 7.702567 4.576178 5.106309
## [2185] 5.884495 4.747624 4.966897 4.038212 4.922781 4.235878
## [2191] 3.980058 5.921198 4.478455 5.982036 4.507377 7.232697
## [2197] 5.022208 4.296488 5.059120 5.423396 4.461099 6.976508
## [2203] 5.215424 4.085632 5.770528 4.912462 4.187376 4.650055
## [2209] 6.505536 4.587860 4.091492 4.539473 4.199594 5.549543
## [2215] 4.650373 4.625824 10.867813 4.219103 5.977340 4.493613
## [2221] 5.339971 4.373919 5.552547 7.076060 4.709634 8.385358
## [2227] 6.618390 6.045924 5.942409 4.608362 5.366468 5.038842
## [2233] 4.483513 4.446881 4.474014 9.580420 5.554512 4.404366
## [2239] 4.453006 9.841658 4.507936 3.554842 5.000585 5.562334
## [2245] 6.076544 6.513811 4.411760 4.325253 4.558376 7.604585
## [2251] 5.008326 4.117787 4.875277 4.510588 6.645913 5.227362
## [2257] 4.956418 5.118015 6.972442 7.858329 4.618454 14.752911
## [2263] 4.316359 4.290079 4.634703 5.489304 5.224051 7.582427
## [2269] 9.489092 4.582156 5.101959 4.403739 4.490568 6.501219
## [2275] 4.834138 6.749842 5.303439 6.952786 6.646645 6.233107
## [2281] 4.570031 4.503198 5.525413 4.429712 8.265233 5.996681
## [2287] 8.448577 4.579352 4.221368 4.313641 5.087718 4.617139
## [2293] 4.197858 4.360636 6.354756 4.729463 4.501055 6.551615
## [2299] 5.429678 7.410842 4.424093 4.633030 5.747731 7.509133
## [2305] 8.204183 4.303579 6.102492 4.487973 4.737083 4.650793
## [2311] 4.388639 4.155823 5.512513 4.931952 5.018415 4.977471
## [2317] 6.048046 5.603454 8.872002 4.851726 4.837942 4.254771
## [2323] 5.182266 4.608566 5.475392 4.368811 4.722800 4.146521
## [2329] 4.760604 5.084620 4.596063 4.761824 4.459453 3.950608
## [2335] 4.325782 3.843433 4.856718 4.789627 5.139569 4.574907
## [2341] 4.314180 5.023076 4.890961 3.488893 5.559266 4.220744
## [2347] 8.298902 4.634245 10.001386 4.948260 4.637321 5.499325
## [2353] 8.070266 5.201789 5.591234 4.564458 4.761379 5.545871
## [2359] 4.562863 4.501660 4.669458 4.508148 5.187286 5.337760
## [2365] 6.329706 8.409533 4.500907 4.382074 4.730849 5.357704
## [2371] 5.414264 5.038120 6.058975 4.876723 4.670325 5.168071
## [2377] 4.412316 7.735279 4.330606 6.217980 4.498722 3.412585
## [2383] 5.245678 4.359166 4.906255 4.733453 5.975010 4.686516
## [2389] 4.800944 3.826703 5.288101 4.846950 4.848439 3.986754
## [2395] 5.213877 4.384598 4.185449 4.285067 6.140048 4.222927
## [2401] 4.456465 4.951937 5.897764 5.513961 5.321616 4.562787
## [2407] 4.064434 4.666473 4.372125 5.074526 4.394848 4.707788
## [2413] 5.713944 4.498983 4.663104 5.019635 4.998816 4.967948
## [2419] 4.959412 6.230832 4.333482 5.196345 6.714872 4.480843
## [2425] 3.999646 5.480204 4.667294 4.272478 5.658170 4.872720
## [2431] 6.283164 4.362480 4.774996 4.572274 4.525664 6.200290
## [2437] 4.618207 4.699859 4.245296 5.404688 4.474743 8.929287
## [2443] 5.640292 4.248732 9.283657 5.752310 6.675595 4.642877
## [2449] 7.093180 6.070961 4.514062 6.917590 11.223081 7.254299
## [2455] 4.611350 4.770834 7.785586 4.276885 4.847970 7.628172
## [2461] 4.902480 4.980643 4.903680 6.256653 6.468161 6.094299
## [2467] 8.457249 4.470376 4.100561 6.150202 4.457437 5.735987
## [2473] 8.490441 5.500492 4.803262 4.983583 6.164467 5.581753
## [2479] 4.175777 6.147012 4.850815 4.152040 5.216378 8.353151
## [2485] 5.779103 4.257578 5.258867 13.587941 4.531569 4.171034
## [2491] 7.886679 4.338279 4.618221 5.008953 5.543672 5.264065
## [2497] 6.463905 6.000370 4.344175 4.018662 4.111733 4.998447
## [2503] 6.857841 4.284279 4.932889 5.098225 4.355230 6.774293
## [2509] 4.512385 3.984616 5.649860 7.278115 4.630727 6.176062
## [2515] 5.130549 4.076756 5.177767 4.135179 4.893853 4.679335
## [2521] 4.157713 5.638731 4.960704 4.456174 6.161432 4.365513
## [2527] 6.372677 5.339524 4.549166 4.384014 4.552408 6.838040
## [2533] 6.095236 3.885835 4.217967 4.806836 5.695177 3.957232
## [2539] 4.000989 5.307510 4.910585 4.264252 5.029288 8.811286
## [2545] 5.020719 5.440632 7.132148 4.688388 3.846588 5.276295
## [2551] 4.705461 5.101022 4.681493 6.696494 4.037933 5.733384
## [2557] 5.754544 4.513110 4.502156 7.189115 4.416431 6.027741
## [2563] 4.537992 7.981790 7.195134 4.241569 4.704076 5.736734
## [2569] 4.282692 4.635939 4.638848 5.255129 4.717707 4.074844
## [2575] 8.505100 4.922165 7.268682 3.906290 8.282934 4.655367
## [2581] 4.498121 4.634561 5.659012 6.330308 4.066691 5.007014
## [2587] 5.987249 18.879108 7.240022 4.287325 4.029750 4.468491
## [2593] 3.895029 4.627511 4.162068 4.040028 6.899598 4.789503
## [2599] 4.439199 5.902842 4.155997 4.248076 5.561487 6.098754
## [2605] 4.318669 5.666991 4.716884 4.039335 4.935974 5.025597
## [2611] 4.339255 6.013105 6.617944 6.853200 4.160139 4.326100
## [2617] 4.554535 9.301695 4.586375 4.358815 4.654432 5.260918
## [2623] 5.250029 3.927166 4.510781 4.507855 4.320443 4.445244
## [2629] 4.079935 4.197944 5.060131 10.821340 4.706357 4.711131
## [2635] 4.793049 4.698225 5.243747 4.828131 8.117443 8.715221
## [2641] 4.243854 5.584374 10.355108 4.751623 5.255801 5.466241
## [2647] 4.540855 4.316525 4.654302 6.028738 5.950847 6.437582
## [2653] 4.885936 5.481455 5.633648 4.869229 6.505412 4.582020
## [2659] 4.978353 5.806607 6.087226 4.340350 5.414750 5.231690
## [2665] 5.028608 4.542620 4.294337 4.291571 4.234049 4.077193
## [2671] 5.517452 5.696932 13.574125 7.119901 4.685429 4.939868
## [2677] 6.542595 4.705137 5.626175 8.296913 4.461581 4.974395
## [2683] 4.981273 5.991828 4.303249 4.920850 6.536404 4.841327
## [2689] 6.853453 4.966052 4.383536 7.193913 4.235035 5.801451
## [2695] 4.991472 5.254527 5.494521 11.569425 4.940088 5.323909
## [2701] 4.864904 4.474371 4.508215 4.566574 5.267379 4.817147
## [2707] 5.703601 4.735775 6.264030 10.153267 4.079840 5.535022
## [2713] 7.901094 5.387997 5.186793 4.182457 5.989605 5.656936
## [2719] 4.147678 9.459342 5.511650 4.402492 6.159699 4.973230
## [2725] 3.827648 4.173814 4.994298 4.331084 5.424570 5.438744
## [2731] 6.168681 4.613122 4.805580 5.230042 4.671356 5.185060
## [2737] 4.746137 5.124624 6.211079 4.656851 4.384625 7.753954
## [2743] 4.712929 4.476073 3.755559 6.423829 4.387703 5.686090
## [2749] 4.506178 6.892544 4.522415 5.272084 5.165686 5.241917
## [2755] 4.304802 4.114709 4.591871 5.197074 4.376311 4.203514
## [2761] 4.913395 5.287128 5.884239 5.588265 4.776485 6.672230
## [2767] 4.134778 8.713645 5.562698 4.778941 4.866854 4.501556
## [2773] 5.076198 6.343731 5.820348 4.456653 4.591095 12.665035
## [2779] 6.307066 4.434598 4.559170 5.205307 4.385062 4.406490
## [2785] 4.156186 8.350806 5.966015 6.114040 13.613865 4.395555
## [2791] 4.753135 4.620244 4.324484 5.195734 4.280062 4.668019
## [2797] 4.577394 4.455057 4.198166 8.504190 7.668645 8.972220
## [2803] 6.784720 9.645206 6.287221 9.480462 5.350295 5.531861
## [2809] 4.734286 4.197159 4.215449 7.030770 4.143753 4.789902
## [2815] 9.222551 4.633693 4.555848 4.872632 4.376160 4.250241
## [2821] 5.208590 3.958364 4.874430 4.945669 4.296403 4.658438
## [2827] 4.375000 4.841979 4.256031 7.169287 5.057575 5.157545
## [2833] 4.404065 4.505530 5.212716 8.095422 4.348889 4.989901
## [2839] 6.555729 5.759989 4.579487 4.399218 7.173204 3.983876
## [2845] 4.597515 5.151739 4.666827 4.274546 4.911620 5.567739
## [2851] 4.629099 4.134788 6.856833 5.173354 5.164355 6.157564
## [2857] 7.806416 5.038046 4.543145 6.235704 7.869456 5.365528
## [2863] 4.722830 4.351501 5.670994 8.408496 5.985056 4.873267
## [2869] 5.204388 5.137301 4.790132 4.486338 4.420563 4.354563
## [2875] 5.017506 4.587549 10.279329 4.035080 6.511775 4.637925
## [2881] 4.528156 5.553293 4.397610 4.588466 4.401029 6.308785
## [2887] 4.260738 4.581966 4.288272 4.312420 5.950510 5.347480
## [2893] 5.012552 3.684284 5.473643 4.629539 6.456291 4.599459
## [2899] 4.992323 4.716662 5.108777 4.230775 5.258600 5.256015
## [2905] 4.155094 5.730984 4.765560 5.441389 4.447901 4.208526
## [2911] 4.235983 3.660219 4.589466 4.333922 9.001452 9.706313
## [2917] 7.653582 4.095167 4.884178 4.815531 5.744605 4.667492
## [2923] 5.340668 4.872660 7.166749 8.901122 4.253548 4.778341
## [2929] 5.115408 6.412392 4.263307 4.702772 5.540301 4.020934
## [2935] 4.783078 4.563152 4.317821 4.368807 4.342803 4.092823
## [2941] 4.437074 4.742664 5.261389 5.334926 4.604492 4.168792
## [2947] 4.577193 4.516621 6.080303 4.579822 4.475593 4.611990
## [2953] 4.410521 5.502803 5.552709 4.292196 4.436371 4.758873
## [2959] 4.975042 4.361744 4.607037 5.523358 4.945925 4.354719
## [2965] 5.103216 7.452007 3.798219 5.702920 5.371094 7.563330
## [2971] 4.599555 4.143449 4.395515 4.661801 5.493401 4.756895
## [2977] 5.681694 4.666716 5.761244 4.868327 3.983866 4.725130
## [2983] 4.265139 4.625639 4.059513 6.124352 5.305672 5.203631
## [2989] 4.705071 4.252561 5.102056 5.876978 4.898537 4.269138
## [2995] 4.661066 4.165012 5.141350 3.976754 5.138849 4.560263
## [3001] 4.134413 4.044132 4.293635 4.414695 7.053419 4.732222
## [3007] 4.585203 5.321712 5.720402 4.756832 4.349256 4.474881
## [3013] 6.246495 4.249347 5.053847 4.477422 4.701028 4.666653
## [3019] 4.215452 4.502407 4.430277 5.445110 4.766895 5.136438
## [3025] 4.513490 4.242545 4.794922 6.988513 4.243534 7.554956
## [3031] 4.049166 6.719593 6.130871 4.501332 4.447674 6.529100
## [3037] 8.577984 4.728958 4.950006 3.324175 4.448909 6.726125
## [3043] 4.354672 4.867134 4.166632 4.755650 5.657343 7.568787
## [3049] 5.555101 5.776216 5.508942 4.236051 4.896708 4.345162
## [3055] 4.537691 4.832460 8.374964 4.449346 4.226795 6.056491
## [3061] 4.202645 4.172373 4.177603 4.357566 4.460165 4.280915
## [3067] 4.685846 4.479225 4.363374 4.120795 4.874030 6.094955
## [3073] 4.560290 3.866187 13.554019 4.612821 4.526983 7.012755
## [3079] 4.426465 4.393540 4.033556 5.168189 5.870594 4.606461
## [3085] 4.307197 6.701445 5.191508 4.982917 4.367722 4.408310
## [3091] 4.553864 4.430069 3.987153 4.966626 4.694786 4.229460
## [3097] 4.487878 6.235527 4.265782 4.332190 4.994720 4.668737
## [3103] 5.458111 4.235444 4.172375 4.633480 4.801002 4.525341
## [3109] 4.852959 4.767824 10.659739 4.979426 4.419209 5.803686
## [3115] 7.653561 10.119127 4.800908 4.283148 5.892731 5.092201
## [3121] 6.130251 4.933410 5.950209 5.333270 9.846221 4.493504
## [3127] 4.928019 4.421254 4.528900 13.437202 5.262096 5.784229
## [3133] 7.573071 4.548023 4.887825 4.690799 5.606719 5.024861
## [3139] 6.825910 4.206328 4.638229 7.514430 5.137591 4.818855
## [3145] 4.220846 4.201594 6.560638 4.926203 4.214578 4.262002
## [3151] 4.296982 4.821107 4.247030 4.732887 5.979109 4.903233
## [3157] 4.884241 4.512299 5.009921 5.114077 6.846732 6.809289
## [3163] 6.528385 4.523088 10.535073 6.178417 4.499080 4.105010
## [3169] 6.465118 5.833463 6.037599 5.064891 4.984395 4.466058
## [3175] 5.435279 4.959971 5.845817 5.258668 4.699898 4.659665
## [3181] 5.227941 4.763353 4.270765 7.186841 4.788830 4.759594
## [3187] 4.877232 4.799672 6.626852 5.291664 5.368509 4.192343
## [3193] 7.219650 4.815046 4.765315 4.654825 5.727451 4.340301
## [3199] 4.376008 4.216659 4.390475 4.851896 4.937327 4.286672
## [3205] 4.736723 3.924414 4.021109 4.654668 5.297440 6.211075
## [3211] 15.649899 4.365066 4.106305 4.275408 4.853047 5.719964
## [3217] 4.107951 7.870382 7.640281 4.179542 6.228836 5.089438
## [3223] 4.369875 6.200023 4.123015 3.713058 4.955903 4.829767
## [3229] 4.322986 4.330565 8.397621 5.283034 3.977736 5.670164
## [3235] 5.137721 4.336853 4.468418 5.366422 8.812705 7.177251
## [3241] 4.849999 6.157644 3.959320 4.055767 4.164634 5.282035
## [3247] 7.315759 5.111340 5.376304 7.082249 6.221229 4.290914
## [3253] 4.642783 4.671817 3.856257 6.620940 4.649809 4.080512
## [3259] 4.803538 4.638470 4.739251 4.549548 5.137688 4.480792
## [3265] 5.026334 9.878734 5.306997 4.492239 5.256336 5.016049
## [3271] 4.845296 4.704998 5.885030 12.477478 4.016949 6.035613
## [3277] 4.522540 12.386827 4.531007 5.196351 4.301816 5.433182
## [3283] 3.928362 5.013073 4.343840 6.781974 4.624685 4.595198
## [3289] 4.497983 4.328004 5.409973 4.785504 5.309733 5.004865
## [3295] 5.288376 5.756902 4.060165 5.032505 6.052769 5.716018
## [3301] 4.432350 5.237287 6.197568 3.949269 7.276791 8.163992
## [3307] 4.845534 4.716209 4.626897 4.726052 5.859121 4.954953
## [3313] 4.515127 4.199302 4.425179 4.348017 5.549648 4.128891
## [3319] 6.687727 4.827132 4.412956 5.789074 7.966868 4.623348
## [3325] 7.994589 4.266721 4.615938 4.210659 6.254966 5.071632
## [3331] 15.078793 4.428087 9.240772 4.357939 5.229163 4.927401
## [3337] 5.683273 6.256722 8.528622 4.728047 9.038745 4.679107
## [3343] 4.444672 4.148744 4.143558 8.515723 5.964347 4.505875
## [3349] 6.776218 5.218133 7.751980 5.387819 5.126938 4.810474
## [3355] 4.745801 4.942196 4.150778 4.127820 4.309318 4.463662
## [3361] 4.519903 4.643923 5.450646 4.721339 4.037400 6.052361
## [3367] 4.451918 7.339484 4.423418 6.954810 5.500019 4.255307
## [3373] 4.389762 3.539360 5.377075 4.695835 5.236913 5.374719
## [3379] 5.877457 4.649079 4.677011 4.239915 5.038422 4.742203
## [3385] 6.419892 4.986974 4.306746 5.549697 5.169709 4.734366
## [3391] 5.399221 4.310228 12.196857 11.461851 5.688395 4.195552
## [3397] 5.486212 4.204011 4.581670 6.267489 5.909063 4.761602
## [3403] 5.224930 4.609630 13.549387 6.640884 4.609411 6.281561
## [3409] 4.777504 4.118067 14.153402 7.758093 4.498687 6.842465
## [3415] 5.646462 4.633240 5.310120 4.616538 4.636097 4.826639
## [3421] 4.881716 6.930514 4.520065 4.837701 10.734749 5.260387
## [3427] 5.927600 6.347232 10.291531 4.815914 4.467533 11.051810
## [3433] 4.404678 4.567166 4.743775 4.463043 4.568121 4.685105
## [3439] 5.000672 5.584392 5.074503 5.746887 4.342362 4.895449
## [3445] 3.879811 5.843797 4.876347 4.987066 7.173708 4.840808
## [3451] 4.772876 4.701056 4.512755 4.990316 6.763362 4.279775
## [3457] 4.696139 4.210565 5.839602 4.619127 4.889140 7.914521
## [3463] 4.997514 6.247724 4.665046 8.528304 4.531946 4.266772
## [3469] 7.028643 6.365328 5.093014 4.739746 5.344965 5.520878
## [3475] 4.749632 6.602076 5.300611 4.342990 4.569023 4.381389
## [3481] 4.318026 4.510593 4.170385 10.354885 5.401249 4.487926
## [3487] 6.634335 4.423268 5.054587 5.392331 8.813929 4.832897
## [3493] 4.335879 4.723706 8.211904 5.161455 5.526013 4.666662
## [3499] 5.283050 4.107573 4.535291 6.891283 4.503502 4.990678
## [3505] 5.442659 8.995745 6.677241 5.358660 4.324536 4.716930
## [3511] 10.710527 5.047210 4.834263 6.344819 4.508234 3.890583
## [3517] 6.222919 4.105574 5.747680 4.822614 4.735686 5.354863
## [3523] 6.173756 5.947468 4.293901 5.092241 4.648686 5.980917
## [3529] 4.270765 5.184184 4.707376 5.060486 5.535636 5.824867
## [3535] 6.346706 6.716360 4.504194 5.127999 4.565667 4.524711
## [3541] 4.633819 4.959745 6.287421 5.217130 4.795155 5.431100
## [3547] 5.591948 8.923916 4.465507 4.472235 4.968033 6.055010
## [3553] 4.561604 5.393689 4.597523 5.030197 4.606144 4.204651
## [3559] 9.425654 4.406740 5.512882 5.541892 5.798979 4.640024
## [3565] 4.511346 4.413281 4.138276 4.757539 5.783467 4.788128
## [3571] 4.128652 5.325290 5.096430 4.754457 4.503498 5.648708
## [3577] 4.319759 4.470206 4.519024 4.855148 4.985529 5.124650
## [3583] 4.788497 5.042991 6.371970 5.064255 11.694939 4.276223
## [3589] 5.391884 4.459121 7.569637 4.880646 7.589527 6.793689
## [3595] 4.828978 7.802257 4.274753 10.134727 4.480196 4.384641
## [3601] 5.145992 4.905357 5.056162 5.475107 6.799637 7.896922
## [3607] 4.023181 4.434614 4.627951 4.292413 5.037347 4.493825
## [3613] 5.555405 6.147487 4.384425 5.701497 4.785199 5.378682
## [3619] 5.367714 3.980345 4.057235 6.906529 4.592525 4.834400
## [3625] 8.999744 5.753776 5.633096 5.077376 4.728379 4.473058
## [3631] 5.179889 4.771959 4.630270 4.078671 4.870842 4.908094
## [3637] 4.757233 5.292213 5.419917 4.405670 4.248740 5.803385
## [3643] 4.572233 5.008299 5.257606 6.558272 4.237798 4.754849
## [3649] 4.140664 8.739711 4.714955 4.696062 5.455433 5.266398
## [3655] 4.914952 6.046214 4.560132 4.421656 4.975577 4.232401
## [3661] 4.335150 4.154241 5.636374 5.045724 5.521953 4.515699
## [3667] 4.784987 4.573133 6.172490 4.583826 4.163107 7.029875
## [3673] 5.229361 4.285736 5.634834 5.251372 6.718804 6.522053
## [3679] 5.160269 4.833269 7.583584 6.458529 4.035705 5.050292
## [3685] 10.304798 6.825127 4.378285 3.927877 4.998946 5.027079
## [3691] 5.175972 6.545138 6.256113 6.281975 4.619329 5.156887
## [3697] 4.397017 5.164999 5.051862 4.483265 6.393593 4.177733
## [3703] 4.667113 9.493237 4.285729 4.126978 5.857985 6.302743
## [3709] 4.591190 4.776664 4.071753 4.344892 4.467471 5.129292
## [3715] 6.113242 4.155200 4.546657 4.759901 4.785812 4.369304
## [3721] 4.827847 5.319463 4.214957 4.205271 13.462797 5.258790
## [3727] 4.528024 5.298540 4.179424 5.190248 4.333583 6.544706
## [3733] 4.400607 4.619474 5.424727 3.963475 4.842688 5.873039
## [3739] 5.683472 4.674271 5.501561 4.040182 4.620833 4.364117
## [3745] 5.707711 4.186106 4.556404 4.184656 4.948857 7.298464
## [3751] 6.093530 4.561567 4.828808 6.400002 4.437567 4.224320
## [3757] 7.331921 8.166944 4.326254 4.457714 4.217364 5.075958
## [3763] 4.886331 5.572443 4.497772 7.850408 5.951376 4.842520
## [3769] 4.347291 4.981093 4.735466 4.403070 6.149159 4.678468
## [3775] 4.221994 4.564438 4.432810 4.396243 5.985914 5.116909
## [3781] 3.883337 5.190903 5.112745 5.692899 8.173425 5.298345
## [3787] 4.950973 4.894736 4.555672 4.417095 4.859324 5.241974
## [3793] 4.208506 4.658682 5.355905 4.459890 4.432803 5.056540
## [3799] 4.351816 7.441385 4.612629 5.871590 4.034793 4.049174
## [3805] 5.165794 5.729784 5.261992 4.662658 4.677499 5.549524
## [3811] 4.113290 4.164880 4.480105 5.079238 7.149797 9.596916
## [3817] 5.909681 5.496614 6.024689 4.530722 5.042766 5.367165
## [3823] 13.622934 7.248638 4.536335 4.740150 4.198059 4.718327
## [3829] 5.169479 5.629673 4.386358 4.130433 4.122432 5.147899
## [3835] 7.509066 4.293650 4.084917 4.534314 5.634208 4.434457
## [3841] 5.385028 5.170039 4.726883 5.777260 4.517888 8.229296
## [3847] 4.431704 4.574180 5.903136 4.520561 4.695829 4.457018
## [3853] 4.497550 4.457072 6.998486 4.056559 4.503167 6.013415
## [3859] 4.649224 5.292646 4.291795 7.084660 4.304200 5.218676
## [3865] 4.060402 5.049459 4.651533 6.337087 4.624091 4.215068
## [3871] 5.145743 7.139817 4.789386 4.927476 4.337222 7.201105
## [3877] 4.304510 4.751770 7.569594 5.772704 6.214125 5.746945
## [3883] 8.017063 4.841805 4.936948 4.900024 4.842643 8.085250
## [3889] 4.708699 5.169061 6.379683 4.122527 4.508716 5.263740
## [3895] 5.047116 4.912218 6.651899 4.550378 4.977074 5.723141
## [3901] 3.868497 5.825384 5.603896 4.852619 6.417838 5.549140
## [3907] 5.198103 5.905819 4.813493 4.371859 4.264362 4.040896
## [3913] 4.844692 4.523677 4.066112 5.292670 4.132842 4.142160
## [3919] 4.305934 4.113665 5.671746 8.079652 8.273836 4.223226
## [3925] 5.051552 4.335681 5.315935 4.441154 4.846323 4.407373
## [3931] 4.465877 5.277518 4.631493 5.497919 4.371532 4.129250
## [3937] 6.072654 6.574313 4.518807 5.692518 5.478683 4.991800
## [3943] 3.931664 4.450948 4.263684 7.244337 4.438156 6.353964
## [3949] 7.445324 4.360127 5.340603 4.929968 5.063239 5.564088
## [3955] 4.525519 6.219511 9.116465 4.735985 6.153495 4.514921
## [3961] 4.689457 5.239259 5.786311 4.562199 4.188468 4.141856
## [3967] 4.359567 7.404621 4.648747 11.201122 4.309402 4.445377
## [3973] 4.167387 4.775309 4.461486 4.253330 4.512702 4.924855
## [3979] 5.040635 4.879061 4.256603 3.990603 4.659656 5.688930
## [3985] 5.049611 5.882493 4.485394 4.305935 4.863212 5.200287
## [3991] 4.109265 3.732784 6.907446 5.036135 7.205859 6.590304
## [3997] 4.598491 4.718161 4.326772 4.536864 4.515300 5.407507
## [4003] 6.329102 5.611877 5.264027 4.348045 4.334011 5.161420
## [4009] 4.681492 5.939238 4.812332 5.126530 4.130861 5.598814
## [4015] 4.551371 6.238920 6.472826 4.249372 4.994861 4.616128
## [4021] 6.454309 4.916123 5.938590 4.784575 6.843617 4.487459
## [4027] 4.811233 4.514936 4.933719 4.629238 4.881920 4.678775
## [4033] 4.472095 4.210529 5.174543 4.101106 4.543633 4.314157
## [4039] 4.843180 5.001027 4.813393 5.109871 4.554772 4.181808
## [4045] 4.750381 4.436819 5.725165 3.344391 7.157421 4.764282
## [4051] 5.890683 4.145211 5.679373 4.666732 4.255984 3.976327
## [4057] 4.282899 4.412604 9.393566 4.183364 6.747452 6.279452
## [4063] 4.544471 5.183169 4.428398 4.457122 5.009345 5.360215
## [4069] 7.850616 5.019895 5.705276 4.456279 4.153522 4.931739
## [4075] 6.268304 6.407598 4.282430 7.139014 4.550681 5.531822
## [4081] 5.834006 4.577392 13.441957 4.822998 5.096108 6.008366
## [4087] 4.663281 5.078180 4.804230 7.354492 4.905487 4.339114
## [4093] 4.659065 4.805168 6.151504 6.586561 5.200950 7.651930
## [4099] 5.556468 4.471454 4.134820 4.701964 7.249588 4.122686
## [4105] 5.008713 4.325632 4.726512 4.035633 3.717806 5.438931
## [4111] 4.640302 4.132104 4.791185 5.652421 5.286008 4.564169
## [4117] 4.389399 4.252423 4.579534 4.379466 5.789767 4.449646
## [4123] 5.551494 4.584964 4.066578 5.585433 5.432002 8.489062
## [4129] 6.403013 3.515589 4.274918 4.552624 4.054818 4.681247
## [4135] 5.728144 5.464399 4.906153 4.558602 5.341917 5.672187
## [4141] 4.188345 3.863516 4.827356 4.480537 4.563172 4.462582
## [4147] 4.631462 4.147746 5.356391 4.185080 4.664707 4.425499
## [4153] 6.500787 4.696521 4.546644 4.312235 4.820254 4.172759
## [4159] 5.065078 4.682304 4.666687 5.605520 4.798923 5.645121
## [4165] 4.730897 4.760593 7.497004 5.402975 8.434482 4.516357
## [4171] 4.857611 4.293089 4.284873 4.193353 12.471534 5.115577
## [4177] 5.156989 8.627618 6.068876 4.678067 4.167998 6.792275
## [4183] 7.129951 5.215132 4.889374 4.643728 4.932500 4.283145
## [4189] 7.129750 4.004837 5.888948 4.888707 5.183858 4.717345
## [4195] 4.862512 4.301423 4.373257 5.531332 4.612426 4.717017
## [4201] 4.579015 4.352709 4.611295 4.203057 7.159502 5.239122
## [4207] 4.229613 4.587682 6.722507 4.547349 5.051371 4.546280
## [4213] 4.062294 6.289820 5.501485 4.007842 4.177991 4.362517
## [4219] 4.185740 6.261923 4.477585 4.409522 4.968268 4.209464
## [4225] 4.258855 5.274624 4.229554 4.531197 6.449761 4.814799
## [4231] 5.826218 4.973251 4.008111 5.444850 4.155434 5.052004
## [4237] 6.471834 4.201742 4.156004 3.534879 4.611844 5.110831
## [4243] 5.045720 3.896029 4.644032 4.226769 6.522886 5.620505
## [4249] 14.932655 4.909671 6.039559 5.265902 4.534149 7.402173
## [4255] 5.454051 4.763652 6.096747 5.284873 5.019269 4.333318
## [4261] 4.606177 5.276622 5.855653 4.508768 6.867807 4.972034
## [4267] 5.136110 4.774451 4.228050 5.828123 5.258541 4.807837
## [4273] 4.459496 6.096737 5.423614 5.024756 4.887692 5.197459
## [4279] 4.489153 5.881874 4.093421 4.237961 4.191379 7.104235
## [4285] 5.070369 7.066094 4.510949 6.097860 4.786079 5.732744
## [4291] 7.095080 4.592745 6.645176 4.482586 4.923207 4.409848
## [4297] 4.403562 4.215269 6.648360 4.374142 4.738570 5.044048
## [4303] 9.800440 5.408565 4.208492 4.716403 4.546212 6.429480
## [4309] 4.670560 5.203911 7.414045 5.723941 4.689850 9.254896
## [4315] 5.044907 4.517166 6.063969 5.488163 4.318553 4.505873
## [4321] 5.933783 4.249530 4.150883 9.610938 4.900617 5.614271
## [4327] 6.120809 5.222333 5.218575 3.848025 6.026914 5.573136
## [4333] 4.661023 4.241801 4.884538 4.810483 4.518605 5.049991
## [4339] 8.271878 6.022316 6.452865 7.142136 5.634327 5.430579
## [4345] 4.241726 4.323901 6.553633 5.050492 10.112531 4.344883
## [4351] 8.118420 7.049340 6.910253 3.829134 5.562779 5.898986
## [4357] 4.286163 5.288834 5.379737 6.401708 9.045148 5.077283
## [4363] 4.534223 4.799918 3.965969 4.429840 5.194523 4.613827
## [4369] 4.663235 10.762618 5.712132 4.384128 9.019485 4.265822
## [4375] 4.879540 5.175970 4.917517 7.239865 5.669552 4.352637
## [4381] 11.313663 5.049011 6.104766 4.892270 4.579118 5.072348
## [4387] 6.624091 5.134738 4.125092 5.569845 4.594294 4.444739
## [4393] 4.672974 4.458498 5.006627 5.795596 4.402285 4.603678
## [4399] 7.447194 5.433361 4.949102 7.061700 4.819794 4.164718
## [4405] 4.561288 5.969959 4.456450 4.218244 6.638998 5.284326
## [4411] 6.261896 5.171228 6.433954 5.273123 4.893380 4.709288
## [4417] 4.037636 4.216060 6.177348 4.114216 6.350996 5.153049
## [4423] 5.108350 4.139796 4.450245 4.759692 5.282974 5.946778
## [4429] 6.034030 4.282766 6.121080 4.522583 4.794800 4.386085
## [4435] 6.267268 5.911308 5.854407 4.467766 4.532072 5.580894
## [4441] 6.985611 6.459946 4.406903 6.103475 5.864421 7.050802
## [4447] 4.246129 4.540067 4.468594 6.770277 4.963979 7.228002
## [4453] 3.945107 4.552869 5.830700 4.245700 4.785202 4.065395
## [4459] 5.726060 9.518231 4.423711 4.756354 4.772304 5.332549
## [4465] 4.624965 4.937423 4.428289 5.129543 4.756112 4.934110
## [4471] 4.290015 4.266707 5.217384 5.369196 4.401224 6.123435
## [4477] 4.790139 4.430828 5.095476 4.308864 9.194722 4.140104
## [4483] 5.239478 5.318561 4.150615 5.155992 6.586032 4.574094
## [4489] 4.528156 5.944768 8.374402 5.759271 4.288319 8.077869
## [4495] 5.457556 10.679457 4.270789 4.638723 4.086597 4.083772
## [4501] 4.865937 4.803961 4.544621 4.178870 5.728920 6.461934
## [4507] 5.171304 4.269545 4.679618 4.126189 4.504842 5.634478
## [4513] 4.202675 4.093005 4.807218 6.077830 4.202923 4.360999
## [4519] 4.738122 11.866881 4.373504 5.033533 5.407385 6.703883
## [4525] 4.015415 3.698751 4.235435 3.915893 4.790913 4.430382
## [4531] 5.485308 5.512659 6.951464 4.764728 6.134644 6.659322
## [4537] 4.496290 4.416825 4.329886 4.592456 4.926009 5.915387
## [4543] 4.515240 4.745916 4.297285 5.347378 8.036096 4.502100
## [4549] 4.924938 4.203943 4.795548 4.521708 4.274771 10.017562
## [4555] 4.869668 4.502180 6.936213 5.588103 4.284815 4.889821
## [4561] 4.821215 4.288123 4.356645 4.580327 4.502993 3.923452
## [4567] 4.821583 5.120377 5.968008 4.727546 5.180130 6.211398
## [4573] 4.408705 5.505206 5.293890 4.472054 7.710258 6.404177
## [4579] 4.402665 5.563463 4.370705 4.221616 7.745456 4.724061
## [4585] 4.269060 4.107891 4.236189 4.846150 4.761833 4.148052
## [4591] 4.333452 5.302883 4.836280 4.837839 4.929916 6.339888
## [4597] 5.801246 5.960949 4.924184 4.603760 4.611857 9.652821
## [4603] 4.350347 8.737160 5.677448 4.532969 4.625424 4.819389
## [4609] 6.072303 6.810044 4.672907 7.304700 5.528902 15.145946
## [4615] 5.676792 5.474464 5.906003 5.915347 6.379896 4.464360
## [4621] 4.967876 5.198882 8.317280 4.376498 4.409283 4.438984
## [4627] 4.408027 5.070112 5.613865 5.320754 5.037487 4.351365
## [4633] 5.005907 5.743427 4.258381 4.627608 5.858512 5.362689
## [4639] 4.426044 4.206935 4.148774 4.120046 5.303891 3.946732
## [4645] 5.279039 5.188553 4.221580 6.161777 4.422543 6.732585
## [4651] 5.734832 5.677842 5.065277 5.678498 5.163309 4.184093
## [4657] 7.881085 5.656696 4.189322 8.168759 6.070651 5.541148
## [4663] 4.271745 4.275008 4.261288 4.228930 8.466970 5.088705
## [4669] 5.011327 4.619981 4.711713 4.457817 7.039419 4.579751
## [4675] 4.374085 6.318181 4.667272 4.823365 5.030256 4.443721
## [4681] 4.424216 4.867800 10.536394 4.450901 4.941678 4.840678
## [4687] 4.721738 5.067967 4.010410 6.103369 8.623464 6.502625
## [4693] 5.327979 4.355785 4.429661 4.026397 8.316067 4.865531
## [4699] 6.262606 7.819788 4.221762 4.935297 4.364374 4.811816
## [4705] 5.387245 7.521549 4.758596 4.143232 4.765402 4.324452
## [4711] 4.671615 5.196084 4.770420 5.983412 7.327155 4.751430
## [4717] 4.916714 9.153511 5.639969 4.791665 4.536743 7.131088
## [4723] 4.531870 5.965478 4.133816 4.808299 4.134862 5.815435
## [4729] 5.328023 4.480608 6.857910 6.100318 5.149814 5.978300
## [4735] 7.009692 4.800169 6.870881 4.416459 4.888634 5.577981
## [4741] 5.295817 4.318665 4.363445 4.269429 8.008897 5.371801
## [4747] 4.552388 4.739767 4.915477 6.313261 5.576865 4.874868
## [4753] 4.716569 6.382833 6.215106 9.934425 5.757149 4.468329
## [4759] 4.077881 4.013261 7.385535 7.886460 4.812706 5.243439
## [4765] 7.311797 4.418334 5.193215 7.993370 6.194831 4.555168
## [4771] 4.683961 4.170167 4.367747 4.032205 6.323825 5.342194
## [4777] 4.756752 4.550789 5.542197 4.924095 4.523188 5.010993
## [4783] 4.440801 4.290388 4.579080 4.223276 4.511434 4.301731
## [4789] 7.964337 5.086522 4.591962 4.270830 4.371752 5.473869
## [4795] 5.309324 5.742179 4.153878 5.534149 4.376729 5.084802
## [4801] 5.417984 4.525155 4.572605 5.144719 4.732127 4.529828
## [4807] 5.032085 4.136953 7.112173 8.018403 4.313789 4.460390
## [4813] 4.560118 8.041765 7.070842 4.177548 4.397084 4.599390
## [4819] 5.268170 8.483195 4.287349 4.687620 5.390708 4.054765
## [4825] 4.583984 4.196916 3.123882 4.827602 5.119564 4.252802
## [4831] 4.310277 5.189648 4.611318 4.440061 4.376757 4.473081
## [4837] 4.058207 4.720585 6.645390 4.178232 4.465099 4.069977
## [4843] 4.811438 4.479637 4.351058 7.064404 5.236701 5.114940
## [4849] 7.826730 12.917099 6.346673 4.585234 4.490884 4.267997
## [4855] 4.425916 4.143377 4.183129 4.547393 5.154779 5.893284
## [4861] 4.379245 4.536438 6.533739 4.771293 5.022593 4.934143
## [4867] 5.807407 4.991114 4.297607 4.734480 4.668747 5.923990
## [4873] 4.941677 6.535359 4.982026 5.224984 5.037781 4.522224
## [4879] 4.232328 5.406948 5.886595 4.967615 5.814430 8.153393
## [4885] 4.963654 5.331268 4.863223 4.906794 6.251823 4.067031
## [4891] 4.988914 4.985719 4.204824 5.263434 3.808287 4.529794
## [4897] 7.963609 4.041740 5.805124 4.501702 5.344384 5.172860
## [4903] 5.817559 4.868943 4.509081 4.795871 4.882135 5.703822
## [4909] 6.469641 4.087521 5.311902 6.760553 3.930070 10.256182
## [4915] 4.471282 6.609887 4.778127 5.136089 4.203436 4.259885
## [4921] 4.691757 6.404071 7.104944 5.412585 9.307638 4.627156
## [4927] 4.703714 4.350083 4.466537 4.150317 4.928595 4.819619
## [4933] 6.401798 5.080594 4.025987 4.614703 4.845883 4.840033
## [4939] 6.494215 4.389007 4.468695 6.593009 4.597070 6.415611
## [4945] 5.234136 4.512046 11.787057 4.749384 6.095203 4.613701
## [4951] 4.426307 4.719666 4.334608 5.295939 5.284983 5.794631
## [4957] 8.470887 4.910771 4.352455 4.340064 4.028500 4.003606
## [4963] 4.807504 4.429925 5.115945 5.262024 4.364057 5.462742
## [4969] 5.249665 5.755136 5.727173 5.072000 5.234573 4.097408
## [4975] 6.512988 4.671437 5.093168 4.643786 4.162717 4.723978
## [4981] 5.040761 4.635602 4.630642 4.467478 9.193777 5.540720
## [4987] 4.704712 5.178358 4.238369 8.685929 8.270616 4.129485
## [4993] 5.294046 5.268261 5.169937 4.680430 4.182653 4.774293
## [4999] 4.300258 4.022720 4.947386 4.009312 4.664127 4.428127
## [5005] 4.172271 6.390278 4.438900 7.058218 12.276998 8.420654
## [5011] 4.601246 5.418643 4.864124 5.524347 4.144132 4.720172
## [5017] 10.522247 4.172153 4.618127 4.670757 5.119566 5.987851
## [5023] 4.545832 4.274595 9.413591 8.242739 5.026396 5.200238
## [5029] 4.307916 4.631228 4.273774 10.122409 4.436053 4.260221
## [5035] 6.637118 4.314141 5.055249 4.676104 4.514874 6.475978
## [5041] 4.443053 4.429024 4.974720 4.244767 7.702222 4.920118
## [5047] 7.852025 4.864812 4.341063 4.286697 5.092193 5.028482
## [5053] 4.996376 4.637443 4.108162 4.155971 4.992997 4.435905
## [5059] 5.068288 7.587523 4.886484 4.770994 4.224646 4.579106
## [5065] 7.439072 5.311511 12.829642 8.789328 5.215843 4.372751
## [5071] 4.571324 4.547346 4.239784 4.402796 5.423787 4.627556
## [5077] 5.074203 4.914328 5.249833 6.407378 4.798185 4.697813
## [5083] 5.225941 4.004414 4.778935 5.124199 5.326206 4.125571
## [5089] 4.550003 4.631901 4.208683 4.470318 5.254811 4.861360
## [5095] 5.628089 4.897531 4.775333 4.208475 4.655341 5.311817
## [5101] 4.575020 8.311934 4.430762 4.762588 5.180986 4.447764
## [5107] 5.490936 8.165686 4.324644 7.175412 3.959526 4.065921
## [5113] 6.982865 3.878365 6.126642 5.262160 4.559046 5.059873
## [5119] 4.334624 4.694305 5.934595 5.856273 4.989318 4.137570
## [5125] 4.669333 4.833793 8.196063 4.699396 4.473746 5.347846
## [5131] 6.529835 6.555546 15.014507 4.721210 9.061897 4.458328
## [5137] 4.464208 4.294466 5.786493 4.795690 4.184117 7.276629
## [5143] 3.874806 4.279842 4.166125 4.195864 4.301962 8.500981
## [5149] 4.253241 6.018367 5.703097 5.007322 4.975243 4.638177
## [5155] 3.804107 5.971424 3.992613 4.387244 4.505207 4.348841
## [5161] 6.812074 4.091367 5.323067 5.219966 4.365605 4.592554
## [5167] 4.360224 3.975619 4.369748 4.936544 4.751408 4.145999
## [5173] 4.690857 5.654611 5.227214 4.802256 5.079388 4.233809
## [5179] 6.636339 4.029494 4.620473 4.405079 4.419123 4.570292
## [5185] 5.160841 4.327734 4.229662 5.395155 4.838114 4.234084
## [5191] 4.171800 4.842005 4.026939 4.833018 5.541859 9.269783
## [5197] 5.723225 4.292415 8.271376 4.942396 5.740902 4.797262
## [5203] 4.267598 4.055445 4.188409 4.353387 4.987300 5.296351
## [5209] 4.944831 8.726555 5.724102 4.919986 4.224629 8.372024
## [5215] 5.251242 10.097769 5.292560 4.269863 4.135406 11.215585
## [5221] 4.722151 4.853199 4.389421 5.051840 13.800177 4.250979
## [5227] 4.383052 4.350776 12.126294 4.834155 6.597527 4.823599
## [5233] 5.103748 4.975772 4.424818 4.524006 4.318808 8.646617
## [5239] 4.556611 10.808093 4.923438 4.557304 5.183173 5.624350
## [5245] 4.780450 7.640268 4.396235 4.851136 4.315953 4.267266
## [5251] 4.966356 4.703612 4.368134 5.021001 8.829721 4.317949
## [5257] 6.195587 5.061637 5.826281 5.460367 5.446713 6.667310
## [5263] 4.856464 6.076084 6.038926 4.204919 4.083840 5.115182
## [5269] 4.707428 4.365555 4.451506 4.833040 4.346741 4.513324
## [5275] 7.996659 4.081039 6.587951 4.322745 8.202002 4.514514
## [5281] 4.996262 4.947134 5.235845 4.894071 4.378329 4.374618
## [5287] 5.114574 8.151788 6.426136 5.689541 4.796676 6.749439
## [5293] 5.700597 5.280269 4.492377 7.266772 4.954751 5.947020
## [5299] 5.744311 4.639255 4.949443 4.606734 4.615532 4.046512
## [5305] 4.086606 4.380135 4.596470 4.505326 4.835889 4.331748
## [5311] 4.731283 6.273847 4.538296 5.121642 4.279508 5.482423
## [5317] 5.414443 5.928461 4.485383 4.074153 4.631498 6.616636
## [5323] 6.112521 4.447109 4.733287 5.994798 5.178860 4.465396
## [5329] 6.586119 5.330352 5.357555 4.603559 6.610016 4.231837
## [5335] 4.616044 3.961315 5.002401 9.182541 5.087630 5.263656
## [5341] 4.678648 4.797778 5.868638 4.711225 4.506596 4.742304
## [5347] 4.489717 5.492606 4.375458 7.635919 3.973335 7.397099
## [5353] 4.251682 6.828070 5.567733 4.570394 8.059227 6.483071
## [5359] 5.186265 4.103536 6.594779 5.858072 5.118048 5.558883
## [5365] 4.505462 5.436732 4.787309 5.230411 4.353964 4.524236
## [5371] 4.764617 4.530420 8.065560 5.341400 5.925845 7.995120
## [5377] 4.629729 5.240245 4.469649 4.141761 5.923497 4.363074
## [5383] 5.604815 5.871199 8.470227 4.043156 6.898186 3.167863
## [5389] 5.251104 5.527152 6.287195 4.712336 4.685777 7.616722
## [5395] 13.890609 4.960135 4.232278 4.193815 4.374048 4.508726
## [5401] 5.565710 4.156637 4.520830 8.839573 6.546273 5.030820
## [5407] 4.759436 5.122603 6.760167 4.913615 4.705312 4.498145
## [5413] 4.126051 9.392905 4.429226 5.001245 4.656903 7.564012
## [5419] 4.555444 6.973818 5.300050 5.089929 5.135025 5.193061
## [5425] 4.775140 4.387278 4.290686 5.322205 4.408372 5.542898
## [5431] 4.242812 4.805840 6.358450 4.734187 4.194336 4.804316
## [5437] 4.832092 4.880548 6.687622 5.195666 4.431401 5.563231
## [5443] 7.293794 5.006184 4.793022 5.821021 7.716094 7.694582
## [5449] 5.035493 4.617553 4.355739 4.812910 5.294414 5.716188
## [5455] 4.475925 7.053612 4.417198 5.715958 4.597473 4.572530
## [5461] 4.141662 5.077955 5.072409 4.771523 6.312958 4.234898
## [5467] 4.450249 4.114992 5.348068 4.582158 5.530949 5.578536
## [5473] 4.556296 4.195902 6.591840 5.009271 3.996830 4.676109
## [5479] 4.885284 5.648343 4.686920 4.400106 4.475723 5.450270
## [5485] 4.669075 4.838306 4.250397 5.303641 4.288946 4.385444
## [5491] 4.561938 4.100163 5.081945 4.397738 4.107825 7.037184
## [5497] 4.701623 7.757907 4.404185 4.852833 4.609221 4.520144
## [5503] 4.328830 3.991293 5.120752 4.718593 4.389519 5.201729
## [5509] 4.858019 5.827957 3.998212 7.659142 4.018484 4.006864
## [5515] 4.223924 5.474593 4.700134 5.111923 4.010671 4.230348
## [5521] 5.505264 6.112709 4.188292 6.152485 4.615166 6.641126
## [5527] 5.324512 5.440354 4.230392 3.976562 4.494679 10.360488
## [5533] 4.418277 4.522090 4.566407 7.859928 4.743315 4.073221
## [5539] 4.252033 5.413861 5.368306 5.406730 5.595605 4.943817
## [5545] 3.863275 4.635004 4.126671 7.408569 5.271220 6.397842
## [5551] 4.551387 6.495468 4.864435 5.796104 13.189127 4.536771
## [5557] 6.072208 4.205357 5.094192 6.008634 4.714152 6.429263
## [5563] 6.421801 4.537600 4.625384 4.621797 4.914066 6.598115
## [5569] 4.624278 4.209600 4.942511 4.117328 4.057107 4.654032
## [5575] 11.436118 4.123286 4.870653 4.286158 4.219169 5.327968
## [5581] 6.934008 6.657251 4.256690 5.741585 4.698286 5.196360
## [5587] 4.576114 4.724108 6.817287 5.011520 5.384796 4.852655
## [5593] 4.390285 7.573557 8.536457 4.876983 5.427730 6.804973
## [5599] 4.043859 5.167705 6.381368 5.086250 8.192973 5.376177
## [5605] 4.463605 13.196796 3.932256 6.354406 4.395700 4.602390
## [5611] 4.857631 4.865279 5.178182 12.476681 4.802915 14.252807
## [5617] 5.187149 10.168612 6.705279 3.957660 6.485407 5.563133
## [5623] 5.207112 3.791456 4.406512 4.839091 4.808513 4.840751
## [5629] 8.062724 5.351081 3.926540 4.533970 4.982134 5.192810
## [5635] 5.208460 6.321797 6.801908 5.421742 4.354506 4.367825
## [5641] 4.561774 4.944828 5.627227 9.968742 4.151864 12.157881
## [5647] 4.389264 9.855958 4.414452 4.466527 4.268634 4.728869
## [5653] 4.909041 12.125208 4.320238 6.068116 4.511257 4.504775
## [5659] 4.925186 5.221338 4.556103 4.327192 4.573798 5.310926
## [5665] 4.565341 9.006216 4.421753 5.236735 6.439928 5.298038
## [5671] 5.606265 6.177234 4.914554 4.467746 6.778477 4.209620
## [5677] 5.258623 4.834275 5.092524 4.329385 6.489568 4.249905
## [5683] 4.470817 4.247209 17.431408 8.540042 8.787651 5.682333
## [5689] 4.643399 4.788210 4.084605 5.436358 9.407105 5.495177
## [5695] 4.436481 5.708476 4.540417 4.682364 4.931838 5.339064
## [5701] 9.565545 6.372007 6.863054 4.918114 5.820082 5.358332
## [5707] 4.245867 5.249846 4.071340 4.780018 4.254838 4.693214
## [5713] 8.626579 4.441164 4.328572 5.088500 4.329421 4.699548
## [5719] 4.833680 4.431251 6.019089 4.927401 13.199594 6.959909
## [5725] 4.644806 5.011582 4.246707 4.796035 4.591529 4.403109
## [5731] 4.207575 5.927098 5.313555 4.269904 4.348902 4.673884
## [5737] 4.497713 5.766615 4.743133 4.712385 4.676007 4.315621
## [5743] 5.782300 4.117301 7.204039 4.642235 5.383661 4.347380
## [5749] 6.068192 4.002071 5.837545 4.460445 4.261888 4.136157
## [5755] 4.825404 5.080127 5.181332 4.823939 6.403236 6.043590
## [5761] 4.843858 6.986943 5.836674 4.975115 4.443120 6.468948
## [5767] 4.189731 4.341946 4.301801 11.810922 4.662407 5.399500
## [5773] 4.685924 6.179010 4.734396 5.508172 4.212579 4.941868
## [5779] 4.834910 10.944209 5.871131 4.126248 5.225236 5.783794
## [5785] 10.208860 5.423395 5.583364 8.300581 4.400002 4.644949
## [5791] 4.964606 4.325284 5.236424 4.008857 4.358010 4.612184
## [5797] 4.794294 4.021804 4.761421 4.460992 4.700903 5.429823
## [5803] 6.227369 4.561028 5.399707 3.894238 4.409388 4.477276
## [5809] 5.045729 4.203793 5.150580 4.621729 6.999673 4.223875
## [5815] 8.799115 4.158442 5.349928 4.307026 5.288278 4.072707
## [5821] 5.704193 5.367980 4.400793 4.706137 6.398221 4.311621
## [5827] 6.762513 6.094960 8.983076 5.340893 4.979976 4.245203
## [5833] 6.110034 4.368300 7.841201 6.048992 4.772014 4.224654
## [5839] 4.491538 4.682887 4.910207 4.244290 11.277232 5.248631
## [5845] 4.725346 4.838201 4.121656 4.499247 5.919908 5.473640
## [5851] 4.418289 4.253079 4.593298 5.324995 4.144108 5.083999
## [5857] 5.911005 10.073453 4.788612 4.210362 4.658909 6.665056
## [5863] 5.858183 4.241901 5.004477 4.942696 4.367171 4.609347
## [5869] 5.434191 6.528649 4.711391 4.855491 5.619011 5.812904
## [5875] 4.269785 5.687581 4.549760 5.476563 6.670560 4.367470
## [5881] 4.282679 10.930077 4.645508 4.822305 5.606212 5.214928
## [5887] 4.379836 4.276377 4.190346 5.738175 4.752761 5.988180
## [5893] 5.527515 4.851642 5.055093 5.332264 6.439419 4.197615
## [5899] 4.280436 4.474805 4.704847 4.399433 5.168324 5.916929
## [5905] 6.054023 4.718889 7.464233 5.199929 5.337836 5.176309
## [5911] 5.183773 4.073865 6.125157 4.527097 5.748547 4.318950
## [5917] 4.403754 6.923499 5.123129 6.485013 4.938146 5.539499
## [5923] 3.988190 4.449371 4.076554 6.578894 4.501343 4.222994
## [5929] 5.925854 5.059518 4.413435 6.467166 5.004325 4.342692
## [5935] 9.854308 4.543623 5.439730 4.105355 4.487918 4.772677
## [5941] 4.238238 4.516929 4.992664 5.321914 5.942761 4.315232
## [5947] 5.299785 4.164636 4.359070 3.908170 5.248257 4.707623
## [5953] 5.461523 9.544954 8.909171 5.647322 5.827716 5.190443
## [5959] 5.834398 4.418543 4.779282 4.625226 5.061465 4.402397
## [5965] 4.877398 5.431943 4.771637 4.550264 4.707527 4.276521
## [5971] 5.540659 4.518777 4.705933 4.326721 7.092739 4.447258
## [5977] 5.463483 5.815411 4.514091 4.283038 5.168466 4.712501
## [5983] 4.037296 5.310355 4.961439 5.131579 5.767090 4.512513
## [5989] 4.581393 4.599229 4.772076 14.502737 4.825709 7.422752
## [5995] 5.712362 4.194620 5.137872 8.669668 5.379736 4.422559
## [6001] 6.684802 4.384640 4.639015 4.558531 4.092260 4.345804
## [6007] 5.164805 9.399841 4.670304 4.120719 5.159501 5.361949
## [6013] 4.414894 4.903398 5.146814 4.075771 6.774576 5.052870
## [6019] 5.516593 5.833260 5.499141 4.294385 6.031720 9.038924
## [6025] 8.730837 4.454760 5.014452 6.434131 4.355599 5.073347
## [6031] 4.478345 5.137268 4.455068 6.666871 5.112591 4.951073
## [6037] 5.765578 4.847166 5.753976 4.660728 4.610105 4.322598
## [6043] 4.271696 5.678654 4.421360 9.174038 4.955752 4.546321
## [6049] 4.378379 4.738537 4.421257 4.007869 4.518072 5.527704
## [6055] 4.658257 4.296078 4.858023 4.976791 4.949052 11.950852
## [6061] 4.919963 4.410875 4.402440 4.444794 4.618099 5.133520
## [6067] 4.614073 4.529640 5.197505 4.680269 5.379336 6.674444
## [6073] 4.382103 4.106873 5.139577 4.825852 3.972940 4.778675
## [6079] 7.637262 5.371391 4.517861 4.217102 3.908470 4.485050
## [6085] 5.374983 4.398529 4.446314 4.261899 4.472356 4.510861
## [6091] 4.466511 4.117704 4.760556 5.200003 4.880295 5.401081
## [6097] 4.822202 4.187300 5.361047 4.809390 4.773321 4.629709
## [6103] 4.767321 4.799982 5.956545 4.770444 4.928389 4.381396
## [6109] 4.762681 8.703433 4.353429 4.659908 6.510885 4.428726
## [6115] 4.295091 4.900864 5.022863 4.387444 6.065428 6.995924
## [6121] 4.289996 4.530235 4.582769 4.492414 7.210903 9.125683
## [6127] 5.673956 5.041153 5.393781 4.496028 5.459106 5.625458
## [6133] 6.565327 5.214954 6.879013 4.606853 5.310850 5.383838
## [6139] 6.095080 4.648681 4.171324 4.344771 3.722193 5.606037
## [6145] 6.092526 6.165897 5.265362 5.339931 4.934937 4.835451
## [6151] 6.291624 4.387488 4.449519 4.299069 4.310146 3.992752
## [6157] 4.339112 4.879349 5.023137 4.725958 6.410748 8.266236
## [6163] 4.729816 4.822248 7.084309 3.999756 4.186456 4.327581
## [6169] 6.142099 4.256605 4.919157 4.212375 5.064864 4.438063
## [6175] 4.809929 4.589062 5.161099 4.591618 4.214701 4.402600
## [6181] 4.401663 8.010937 5.509224 5.761763 5.418007 4.244434
## [6187] 4.747180 4.226967 4.320248 5.824535 4.336704 4.291476
## [6193] 4.738326 5.375017 4.540811 4.248978 4.512480 5.225491
## [6199] 6.394752 5.982128 4.239456 5.493939 4.938110 5.858176
## [6205] 4.770709 5.522907 4.454263 4.457889 6.042233 5.037243
## [6211] 6.722151 4.517176 4.808835 4.091721 5.862217 7.257983
## [6217] 4.173857 4.441971 5.050244 4.095386 4.426501 5.487602
## [6223] 5.239547 4.756505 4.256630 9.015856 8.058245 4.601885
## [6229] 4.266084 6.529786 4.885733 4.271027 4.228616 5.492305
## [6235] 4.964541 4.096847 5.514127 4.877031 4.686431 4.530553
## [6241] 5.248754 6.868468 3.897070 5.269901 4.853370 4.749374
## [6247] 6.323070 3.869887 4.421233 5.998296 4.739538 4.990621
## [6253] 4.282738 4.312466 4.791534 5.901801 6.187527 4.511473
## [6259] 7.952343 6.041652 4.986940 4.692729 4.772983 5.135035
## [6265] 5.365706 4.702863 4.599495 5.100057 5.134860 4.187315
## [6271] 5.826331 4.509172 5.325198 6.223153 3.917089 4.996289
## [6277] 5.355494 3.585901 4.239035 3.244996 5.364472 4.713142
## [6283] 6.448357 4.809090 7.714085 4.787408 5.590002 4.957666
## [6289] 4.504266 4.998382 4.810568 7.319763 4.357694 4.655929
## [6295] 8.908879 4.773669 4.287157 4.181232 5.475264 8.589495
## [6301] 4.608952 4.724970 10.276882 6.164159 5.449970 5.455220
## [6307] 4.661861 5.261501 4.233885 6.905081 8.858085 5.075503
## [6313] 4.993837 5.006034 4.580184 4.734733 5.796940 4.679010
## [6319] 4.480872 3.843360 4.460294 6.797969 4.520970 10.002892
## [6325] 4.372970 5.838870 12.612663 4.417831 5.010585 5.369109
## [6331] 8.715709 5.123010 4.444962 4.588004 4.267636 5.543590
## [6337] 5.351941 4.346459 4.780943 5.090395 4.650768 4.475412
## [6343] 5.064863 5.293084 5.026524 4.454626 6.785369 4.914362
## [6349] 5.108890 4.398618 4.134593 6.521610 4.940668 4.532924
## [6355] 12.943819 4.316080 4.518906 4.614828 4.602278 3.897050
## [6361] 6.066383 6.347828 7.999597 4.785627 5.224734 4.917070
## [6367] 4.305527 4.082027 4.298879 5.170395 5.243179 6.719602
## [6373] 4.865515 5.190253 5.386655 5.153860 4.116771 6.894260
## [6379] 5.747198 4.646295 4.680412 4.169369 5.041837 4.434434
## [6385] 4.663376 4.361948 6.108174 4.833513 3.690544 4.307747
## [6391] 8.056580 10.390046 5.424683 5.727370 4.420380 7.167338
## [6397] 4.729630 4.062280 4.835405 5.386354 4.291250 6.681447
## [6403] 4.577744 9.602684 4.617655 5.464445 4.200214 4.719908
## [6409] 4.588026 4.257640 4.657564 6.136201 4.732525 4.320521
## [6415] 8.183592 5.288785 5.429690 5.431335 7.215061 6.254091
## [6421] 4.724941 4.841429 4.289051 4.095362 6.129757 5.572967
## [6427] 4.255968 5.023201 4.080248 5.038839 4.330794 5.939606
## [6433] 4.538880 5.456660 4.367904 4.218511 6.128670 4.208179
## [6439] 4.461649 5.633987 4.206365 4.581756 5.477876 4.695262
## [6445] 4.574181 4.313916 4.982555 6.776462 4.671684 5.208211
## [6451] 8.196874 6.515765 4.560353 4.102893 11.743093 4.209945
## [6457] 4.549951 4.464775 4.732027 4.574766 4.756448 4.925284
## [6463] 13.932711 7.919202 5.246918 3.843839 4.925728 4.374870
## [6469] 6.266617 4.233161 5.267836 5.124012 5.130695 4.572779
## [6475] 5.263362 4.723276 6.100891 5.625619 4.617636 4.881424
## [6481] 7.408873 5.209448 5.903326 5.029821 4.762392 4.425357
## [6487] 4.525405 4.509754 4.467055 4.815338 4.891068 4.099672
## [6493] 4.244951 7.020269 5.488786 4.739662 6.521153 5.061841
## [6499] 4.281505 6.084404 5.323589 4.848537 4.464735 5.086898
## [6505] 6.436756 4.295262 4.186634 4.425069 7.492100 4.564854
## [6511] 5.303027 4.803388 4.891689 4.451507 4.189573 4.511289
## [6517] 7.168756 4.313920 5.391332 7.648195 5.125841 5.047849
## [6523] 4.411044 5.124036 5.249535 5.246683 5.322212 7.106769
## [6529] 4.840704 5.601419 4.496917 15.221269 6.459142 5.487995
## [6535] 8.740636 6.070505 4.647420 4.136919 12.274805 4.480234
## [6541] 4.127665 4.433468 5.982744 5.021816 4.568825 4.107721
## [6547] 4.364882 5.043764 4.846552 5.199558 4.104279 4.104946
## [6553] 7.680442 8.521746 4.414513 3.976541 5.065162 6.227565
## [6559] 4.094030 5.683372 3.957607 5.241490 5.812039 4.910098
## [6565] 4.904264 6.446990 4.915544 15.038796 6.403461 5.349772
## [6571] 4.131714 4.715140 6.819576 5.251207 9.203112 6.543521
## [6577] 4.198610 5.116269 7.917245 5.375013 5.955565 5.693955
## [6583] 3.581344 4.926038 5.789347 4.815035 5.268194 4.334298
## [6589] 4.333877 4.666781 4.258644 5.435126 4.689019 6.323843
## [6595] 13.314632 5.615594 4.404278 11.443273 5.156310 4.808402
## [6601] 5.021003 6.536928 4.782275 4.105644 4.413078 4.142265
## [6607] 5.972492 3.951944 4.346562 9.084174 5.204390 4.404847
## [6613] 4.198932 6.921199 5.819628 6.024724 4.552652 4.623738
## [6619] 14.094343 4.296940 4.921785 4.429985 5.823608 4.746269
## [6625] 4.463755 4.629445 5.846440 4.566561 4.679654 5.302816
## [6631] 13.168343 5.854421 4.981042 4.684913 4.721184 4.473152
## [6637] 4.401578 4.517007 4.800771 4.025374 4.188336 4.698861
## [6643] 4.200586 5.654004 4.182492 4.265701 6.406473 5.467804
## [6649] 4.497156 4.342652 3.973285 3.102408 5.160961 4.573497
## [6655] 5.108512 3.854241 4.160003 4.754178 4.222483 4.305136
## [6661] 4.622157 20.036179 4.262105 5.194478 4.233177 4.255577
## [6667] 4.302571 8.257340 4.569557 5.959334 4.333148 5.352345
## [6673] 4.683668 4.955129 4.241746 6.756921 8.438992 6.270844
## [6679] 4.589539 4.421875 5.396799 4.183816 4.417856 5.782501
## [6685] 4.640953 5.689093 4.464614 5.070833 6.682897 4.584284
## [6691] 4.358818 4.238693 4.583126 5.706711 12.810274 4.298808
## [6697] 4.888232 4.994405 5.130332 5.453400 4.639450 4.680742
## [6703] 4.254404 4.380421 4.026784 5.976992 5.303121 5.080930
## [6709] 4.792240 4.891855 4.883754 4.632914 4.276476 4.271158
## [6715] 4.836786 5.105201 4.493805 7.351543 4.602308 4.046957
## [6721] 7.671945 4.370489 4.911745 5.182804 4.405329 4.665889
## [6727] 3.502495 6.586043 9.143676 4.491726 4.638812 4.324538
## [6733] 4.913939 4.496290 5.068680 5.115263 4.380620 6.568277
## [6739] 3.841248 8.670354 4.112397 3.986988 4.325443 4.001236
## [6745] 4.217820 8.323664 5.805438 4.167239 4.413677 5.250999
## [6751] 4.626474 4.700968 4.148667 4.337263 7.395786 4.750983
## [6757] 4.494621 4.236301 4.403555 6.690616 5.720276 9.950601
## [6763] 4.425690 5.943717 4.225605 4.581253 4.182114 8.619441
## [6769] 4.299072 5.140254 5.473682 4.761621 7.421317 4.987920
## [6775] 6.382113 5.583338 5.916266 4.088466 4.901351 4.604650
## [6781] 5.084239 5.283178 4.758563 7.620161 6.011322 5.200696
## [6787] 6.123307 4.595889 4.481772 4.462140 4.445230 6.549287
## [6793] 5.994205 4.475248 5.515968 5.081763 5.401103 5.747794
## [6799] 4.939934 8.711839 4.222460 4.390905 4.089775 6.114466
## [6805] 7.460981 4.257234 8.604834 5.454879 8.924289 4.689916
## [6811] 4.781329 5.456496 5.825857 4.931961 6.246771 5.096844
## [6817] 4.872186 4.910706 4.579679 4.256188 4.973260 7.337170
## [6823] 6.228691 4.340910 4.941074 4.746164 4.901487 4.827206
## [6829] 4.434642 4.308665 6.546216 4.989567 4.972438 4.211152
## [6835] 8.644424 6.668951 5.123033 4.909041 4.749168 4.378722
## [6841] 4.370691 11.243625 5.071570 4.519163 4.725910 5.189787
## [6847] 4.469337 4.012870 4.538674 4.487183 5.023316 6.311413
## [6853] 4.234712 4.891210 5.809740 5.659118 4.478922 4.683941
## [6859] 5.486396 5.109630 6.403223 5.745471 5.060290 4.211840
## [6865] 4.143824 4.729581 4.280731 4.519609 4.807858 5.705479
## [6871] 5.558610 4.849613 4.658194 4.244621 4.700279 4.629974
## [6877] 6.034293 4.344311 6.227264 5.067564 6.380292 5.176349
## [6883] 4.223312 4.298281 5.869959 4.297959 4.629072 4.516142
## [6889] 5.170771 5.495113 4.697794 4.132072 4.967067 5.069012
## [6895] 4.682458 4.298006 5.505525 6.283084 4.387186 5.458702
## [6901] 4.548352 4.267066 4.144857 8.482376 5.890300 4.338530
## [6907] 5.054080 6.835329 5.060907 3.822638 4.173601 4.727149
## [6913] 4.362528 4.425921 4.297765 4.834895 5.098415 4.357593
## [6919] 6.499734 5.035645 3.934215 4.879618 5.879612 5.431607
## [6925] 4.842925 21.830078 4.365383 6.428455 5.257365 6.550564
## [6931] 5.106748 4.322027 5.990532 9.518552 5.709347 6.103422
## [6937] 4.255510 4.839980 4.176177 7.093133 7.524154 3.969301
## [6943] 3.592889 4.641480 5.943699 4.934330 4.403232 4.290242
## [6949] 4.517539 4.853429 6.235799 5.463678 4.118837 4.505765
## [6955] 4.805971 4.966307 4.807927 9.931919 4.334585 4.326419
## [6961] 4.869509 5.234341 6.126011 5.209292 4.086169 10.038851
## [6967] 4.134902 4.289274 4.830952 4.548655 5.034131 4.904909
## [6973] 5.047033 4.758464 5.297704 6.316350 4.475885 4.355556
## [6979] 15.546627 4.137212 4.323808 4.743075 5.222821 4.083436
## [6985] 4.401018 7.364499 4.095417 4.845633 4.540917 4.847407
## [6991] 6.908300 6.966193 6.090800 4.974250 5.314141 6.226050
## [6997] 4.224533 6.173273 5.792793 4.477154 4.412721 5.009862
## [7003] 4.530217 4.101511 4.087118 5.690132 4.002809 4.968529
## [7009] 4.851656 5.246100 6.841280 5.641063 4.793097 5.895375
## [7015] 4.694243 3.993696 4.761371 4.302587 5.625429 5.180670
## [7021] 4.822811 4.539373 4.380547 4.770953 4.431092 5.544601
## [7027] 4.611014 10.529588 5.066071 4.109671 5.215234 5.284856
## [7033] 4.813873 5.139698 4.924638 5.177782 5.098641 4.088453
## [7039] 4.022132 4.430603 3.994043 10.225050 4.033339 4.672266
## [7045] 3.871046 5.511743 5.139988 6.218144 8.242310 4.990186
## [7051] 4.076641 4.612485 4.550736 4.545006 6.614845 6.821384
## [7057] 4.364111 8.364145 4.925636 5.121472 4.740380 4.275735
## [7063] 5.708101 4.484836 5.463275 6.449297 5.549917 5.955181
## [7069] 4.794023 4.106818 9.510855 5.013470 4.852003 15.401046
## [7075] 6.300408 4.578924 7.258432 3.965616 4.461593 5.290165
## [7081] 14.631648 4.187810 4.797475 7.160266 4.411280 6.368097
## [7087] 6.270862 4.652908 5.452447 4.517710 4.662368 5.072092
## [7093] 5.438245 3.871864 4.085980 6.229071 5.837025 5.308801
## [7099] 4.455532 4.498739 4.169767 5.111227 5.184468 4.348770
## [7105] 4.391685 6.139565 4.496708 4.686271 4.776493 5.499430
## [7111] 6.077042 4.134280 4.550828 6.548242 5.262111 4.639866
## [7117] 4.976929 4.211255 4.989952 4.669791 4.878528 4.318357
## [7123] 4.418619 5.181915 4.865131 9.185220 4.137412 3.597410
## [7129] 5.508020 9.241604 5.421235 4.802348 4.782978 4.297403
## [7135] 5.680190 5.183420 6.057423 5.166134 6.763088 6.108561
## [7141] 4.875738 7.285907 4.417080 4.837229 3.831190 5.901952
## [7147] 5.105504 4.699158 5.349887 4.585363 4.181718 4.944245
## [7153] 4.757737 4.935433 5.512414 4.239270 5.422252 4.067770
## [7159] 7.990906 4.342659 4.423264 4.091390 4.698039 4.569987
## [7165] 4.331448 5.261081 5.518903 12.058859 5.695748 9.512123
## [7171] 5.852036 5.146123 8.331321 4.483547 4.646068 10.103341
## [7177] 7.237043 4.269990 4.671759 4.849806 6.219860 5.153033
## [7183] 4.348894 4.708027 4.855482 4.159832 8.597679 5.272778
## [7189] 4.682187 4.626925 4.744200 5.057933 5.926890 4.290759
## [7195] 6.878346 5.168645 5.998347 4.581275 4.869426 4.592752
## [7201] 6.086114 6.539209 4.538285 4.522968 4.336942 17.470501
## [7207] 4.568287 4.201071 4.942210 5.740432 5.074494 4.846584
## [7213] 4.447799 4.980631 4.857480 5.518368 6.598022 4.140610
## [7219] 4.385121 4.160048 5.368811 4.240780 4.973621 4.255610
## [7225] 5.024161 4.238422 4.279454 4.188113 4.926795 5.094919
## [7231] 5.838558 4.700785 4.947489 4.314874 4.397921 6.986950
## [7237] 5.307134 4.865463 4.573511 5.200063 6.019325 4.546868
## [7243] 6.241849 4.800972 4.421580 4.301791 4.183372 4.326068
## [7249] 3.689006 5.079689 4.922381 4.889555 9.260438 4.799215
## [7255] 4.492940 4.357188 4.931038 4.223138 5.848386 5.183158
## [7261] 4.042138 6.341517 10.756986 4.360076 5.537200 4.375329
## [7267] 4.317952 4.732701 5.330847 4.407165 4.305306 4.686876
## [7273] 4.858068 4.724952 6.080335 5.192484 4.304343 5.208391
## [7279] 4.489566 5.601855 8.928237 4.163391 4.768818 4.794353
## [7285] 5.087461 4.921377 4.412810 4.944992 4.506782 4.510175
## [7291] 4.985009 4.636626 4.135326 5.175769 5.223481 4.906953
## [7297] 4.536785 4.753177 5.285955 4.437067 4.370786 11.028267
## [7303] 13.259282 5.643722 5.444059 4.949868 4.402675 4.601120
## [7309] 4.214399 4.068496 5.049956 7.010721 5.933499 5.368355
## [7315] 4.985478 4.438189 3.645738 4.407862 4.308253 4.435219
## [7321] 4.850819 5.300829 8.413388 4.798432 10.270100 5.013056
## [7327] 4.601036 5.266319 4.550280 5.954399 10.169594 4.227020
## [7333] 4.525824 7.314239 8.253008 4.456673 5.127567 4.588789
## [7339] 4.442560 5.475931 4.991102 5.070500 4.452044 5.443505
## [7345] 5.251104 5.103263 4.778380 3.834540 4.646564 5.271976
## [7351] 4.815273 5.740892 4.683588 4.419324 6.180181 4.807271
## [7357] 4.686152 4.418129 4.521215 4.384412 4.100611 5.150440
## [7363] 4.706373 5.058470 3.584797 5.017350 5.930940 4.183438
## [7369] 4.179105 5.179450 5.512587 4.539303 6.438137 7.164551
## [7375] 4.383986 4.627854 4.491114 4.914831 4.965219 5.205860
## [7381] 7.362854 4.496439 4.914572 5.332871 4.187214 5.355547
## [7387] 4.348522 5.460549 4.760128 5.109352 6.161112 5.414572
## [7393] 4.850539 4.320926 4.912969 5.443257 4.769471 5.113610
## [7399] 5.578559 5.096191 4.261136 4.862127 4.588008 4.564418
## [7405] 5.184421 4.244173 4.821528 5.660743 3.987381 6.880233
## [7411] 4.337570 4.510033 4.594217 4.432061 5.698408 5.078303
## [7417] 5.744420 5.516591 8.649034 12.118828 5.062909 5.909911
## [7423] 4.654165 4.353058 4.460489 4.105633 4.325613 4.911393
## [7429] 4.302993 5.158661 3.978781 4.358817 4.353898 4.271290
## [7435] 17.059999 4.531426 6.290141 16.360742 4.058882 4.605429
## [7441] 6.433004 4.693953 5.160442 4.296514 4.968769 5.844096
## [7447] 4.859940 5.261125 5.192417 5.139156 4.696214 4.625900
## [7453] 5.981568 6.085962 4.622182 4.914207 4.113850 4.566286
## [7459] 4.412954 6.635599 6.921428 3.446414 4.494103 4.762995
## [7465] 4.307977 4.304820 4.840866 6.131712 4.643907 9.084716
## [7471] 6.409204 4.457054 4.374896 4.263347 5.250468 4.626570
## [7477] 4.926949 4.763148 5.090722 11.113962 4.392285 4.733554
## [7483] 7.568441 4.758600 4.256649 4.895672 5.197332 4.266419
## [7489] 6.116220 6.296470 4.259954 4.125353 4.667590 4.405705
## [7495] 4.272899 4.099560 4.657497 7.980557 5.227284 5.167406
## [7501] 5.081299 5.454951 5.004349 4.097541 4.778670 4.129813
## [7507] 8.989653 8.176167 5.238246 4.229185 6.399584 5.454859
## [7513] 4.452245 5.521548 5.050986 13.722764 4.311694 4.610027
## [7519] 5.127465 6.465196 4.520422 7.579762 4.413960 5.524421
## [7525] 4.125088 4.355653 10.982020 6.045140 5.821738 4.241076
## [7531] 7.057074 4.086632 4.137862 4.545231 9.153451 4.036007
## [7537] 6.054071 4.268540 11.388386 4.828501 4.349138 4.954410
## [7543] 4.619736 5.263561 3.964738 4.335554 4.917914 4.958429
## [7549] 6.246974 5.666335 4.795918 5.228585 3.871604 4.770062
## [7555] 7.599384 4.569803 5.567879 5.673885 4.519121 4.534236
## [7561] 4.475319 3.875468 4.593942 5.059914 6.139640 7.600620
## [7567] 5.243450 4.131369 4.358631 5.859785 5.773941 5.192743
## [7573] 10.798567 6.413867 6.676994 7.857991 9.726745 4.384944
## [7579] 4.187087 8.758280 7.261374 5.367458 4.629116 5.367446
## [7585] 5.063128 7.155136 4.606345 8.268308 6.371183 4.375261
## [7591] 5.089833 6.465462 5.946375 4.585224 5.252566 4.540333
## [7597] 5.087544 5.761626 4.074328 4.880878 4.958565 4.177322
## [7603] 4.816963 4.259467 4.512212 4.542771 6.637822 3.961401
## [7609] 4.105022 5.917477 4.421079 4.330738 4.932228 4.944420
## [7615] 4.408143 4.423052 5.574877 4.602139 5.581892 4.848283
## [7621] 5.732700 5.576059 4.825304 4.718833 10.106780 4.039951
## [7627] 4.633223 4.412729 4.379173 4.450901 4.415964 5.395195
## [7633] 5.122246 4.130231 9.507702 4.672723 6.908631 8.992610
## [7639] 4.525026 4.940408 3.907964 4.526871 4.919329 11.045486
## [7645] 6.888138 8.784609 3.456838 6.917858 4.128952 7.064991
## [7651] 4.611190 5.155519 5.013087 6.471583 9.071779 4.225493
## [7657] 4.365485 8.466246 10.242790 4.780100 10.189366 4.665373
## [7663] 4.916982 4.734721 4.650753 4.941785 4.762469 8.577129
## [7669] 5.778842 3.894760 4.248262 4.912318 4.232856 4.570350
## [7675] 5.726218 4.578049 6.125064 6.254071 4.434948 8.144874
## [7681] 4.213115 6.476167 4.707962 8.454724 4.117573 4.778512
## [7687] 4.252188 4.885422 5.997041 5.242054 4.193348 5.154709
## [7693] 4.623395 3.998519 6.036816 4.356129 4.320591 4.942583
## [7699] 5.401930 7.226502 5.588015 5.111175 7.081932 5.651588
## [7705] 4.601839 4.151013 5.067561 11.191203 14.509202 4.405819
## [7711] 5.113972 5.884814 4.391408 5.450088 4.397479 4.340464
## [7717] 3.957257 4.478735 4.642947 4.197408 4.616862 5.011922
## [7723] 5.297888 4.387417 5.218752 4.829676 10.333707 5.108226
## [7729] 6.153684 4.211355 6.279612 4.439517 4.321481 4.153064
## [7735] 4.137859 4.755636 5.151507 7.277504 6.499945 4.096204
## [7741] 5.636984 4.805104 7.682185 4.665000 4.534625 4.371374
## [7747] 4.545155 4.375083 6.164062 4.566018 4.016634 4.520062
## [7753] 5.025982 4.952188 4.391790 5.027800 4.502393 4.860082
## [7759] 5.026470 4.817813 4.141561 5.579111 5.664098 4.229095
## [7765] 4.472451 5.174815 5.475274 4.593691 4.778446 3.977543
## [7771] 4.957386 4.597872 4.085097 4.186345 4.838132 5.445049
## [7777] 4.840451 4.065009 4.359122 4.250980 4.913776 4.301778
## [7783] 4.736390 4.688715 5.250320 5.375911 4.474604 5.512651
## [7789] 4.672064 4.271552 5.476794 4.706325 6.242534 5.079627
## [7795] 7.170568 6.586322 18.471211 4.635433 7.122935 4.441895
## [7801] 8.548978 5.206293 5.085662 5.125784 4.195337 5.541565
## [7807] 4.840325 4.986897 4.617664 4.646613 4.250440 4.403140
## [7813] 5.989628 4.507963 5.079852 4.824860 4.297694 6.047146
## [7819] 6.828411 4.616594 4.625915 4.054265 4.267628 4.649762
## [7825] 5.705704 4.115999 4.701660 4.873752 4.539140 4.700298
## [7831] 4.690513 5.238607 4.590355 5.244973 5.874165 4.982893
## [7837] 6.699803 7.517436 4.878152 4.086802 4.922679 4.785498
## [7843] 4.397705 4.680524 4.028799 10.126837 10.282583 4.544209
## [7849] 7.401678 4.542769 5.545724 5.282137 8.113875 5.217099
## [7855] 5.777100 5.483651 4.888778 6.597786 4.546588 4.291768
## [7861] 5.255181 9.009076 6.172429 4.739980 5.322728 4.238001
## [7867] 8.568126 6.259908 4.236939 4.414810 4.224201 6.284115
## [7873] 4.279547 4.716463 5.706115 4.374655 5.078846 4.558093
## [7879] 4.633778 4.060511 5.205038 6.482569 4.283056 5.660954
## [7885] 4.743309 9.316936 3.506276 7.109860 6.112803 5.182453
## [7891] 4.114889 5.070045 4.241877 5.323182 4.922606 4.762092
## [7897] 5.010512 5.632126 5.887390 5.006074 6.112835 4.108123
## [7903] 4.536983 4.997849 4.522951 3.621244 4.139543 7.184695
## [7909] 12.827626 12.540514 5.162520 5.381803 4.106639 5.259045
## [7915] 4.254555 6.337083 5.238129 4.595405 6.899274 7.639641
## [7921] 4.484819 4.515428 5.242967 4.695361 4.101984 4.676994
## [7927] 4.773561 4.048195 4.617440 5.373408 7.016030 5.553165
## [7933] 5.058672 5.447302 5.033756 4.864380 6.109379 5.562680
## [7939] 5.043559 4.880314 5.631084 5.207904 5.443402 7.551267
## [7945] 4.717408 4.210099 4.658710 9.403074 5.128442 4.604855
## [7951] 4.128100 10.988731 4.660476 7.466892 4.950580 4.545697
## [7957] 12.633031 4.925407 5.002511 4.156211 4.675945 5.372882
## [7963] 6.979227 4.363813 5.021113 4.774206 5.471013 4.028187
## [7969] 17.223021 5.388676 7.682120 5.322774 4.976010 4.503813
## [7975] 4.845241 6.116911 4.857096 4.938545 5.542885 4.767622
## [7981] 5.084721 3.869428 4.792605 4.760316 5.730038 4.054413
## [7987] 4.236640 5.008849 6.725562 4.219359 7.019962 5.123716
## [7993] 9.994854 4.045041 4.217872 5.031045 4.978295 4.558741
## [7999] 5.826030 4.482336 12.719065 4.382806 6.362970 4.914136
## [8005] 4.774402 16.154583 4.783189 4.673470 4.967727 7.170215
## [8011] 4.231257 5.249617 3.057067 4.331320 4.233634 4.959561
## [8017] 4.698915 3.911011 5.103509 4.871252 5.067147 5.397890
## [8023] 4.388546 5.089951 6.728255 7.533224 4.350570 4.120451
## [8029] 4.260010 6.515748 4.507125 12.156624 4.972324 5.292360
## [8035] 5.102406 4.612471 4.985860 8.542110 6.515867 10.493459
## [8041] 4.821503 4.897697 5.001007 6.657870 5.478176 6.354256
## [8047] 4.051136 8.006202 5.419666 5.049772 4.252142 8.315695
## [8053] 7.067144 5.310189 4.563334 4.606314 4.910839 5.009876
## [8059] 5.389667 4.007129 5.510125 6.850359 4.665804 5.537739
## [8065] 5.649611 4.201632 4.594954 5.083368 4.379238 4.658241
## [8071] 6.858940 5.542326 4.857611 4.546001 5.766052 3.835140
## [8077] 4.312225 4.864206 4.656005 5.024393 4.550526 4.062598
## [8083] 4.678213 5.094552 6.665922 6.276605 7.029355 5.576614
## [8089] 4.844599 4.682034 5.610983 6.137265 5.193540 5.006255
## [8095] 5.428527 4.829057 4.367327 8.590908 4.161263 5.513615
## [8101] 4.668863 4.541365 4.387618 4.122761 5.052667 4.570467
## [8107] 4.251916 4.688137 4.656691 10.559008 4.139081 4.593844
## [8113] 4.838548 4.128825 5.177271 4.449746 4.749272 4.621400
## [8119] 5.574179 4.412761 4.780091 4.306361 6.206043 4.905508
## [8125] 4.531177 9.640653 6.250748 4.196062 4.998597 5.010860
## [8131] 4.789758 5.912559 4.441206 5.123707 4.621930 5.140037
## [8137] 11.121056 6.535839 4.881808 4.308066 4.782627 3.826032
## [8143] 4.370819 4.029848 4.252266 4.815078 6.405404 4.416758
## [8149] 5.226861 4.158191 4.579573 6.237476 4.325117 4.128695
## [8155] 5.244384 5.346219 3.951145 4.243152 4.608588 4.557131
## [8161] 4.234582 6.059219 6.042427 4.795590 6.030902 4.178454
## [8167] 8.161138 4.740906 6.130870 6.828071 4.795324 4.537104
## [8173] 8.342259 6.361571 3.728864 4.415233 5.047383 4.343170
## [8179] 8.466509 5.978341 5.029253 4.609368 4.382271 5.724484
## [8185] 5.564688 4.467301 4.916679 4.629907 4.844641 5.013898
## [8191] 4.953244 8.079623 4.419447 4.405069 6.344495 3.979932
## [8197] 4.524496 4.104450 4.582483 6.388680 6.279061 4.568202
## [8203] 3.936358 4.151651 5.195466 5.783175 5.164061 4.788026
## [8209] 5.379892 6.090780 4.735288 4.623843 4.460732 4.199790
## [8215] 8.038198 4.980075 4.990536 9.518639 4.427679 6.996434
## [8221] 4.760443 4.386799 5.535579 7.503559 3.858482 6.204225
## [8227] 4.732679 5.282572 8.754055 4.781288 8.729363 4.205013
## [8233] 4.525062 5.374943 4.206802 6.203126 4.385143 4.362139
## [8239] 4.451879 4.460547 4.663884 11.154924 5.553661 3.897434
## [8245] 4.443090 4.974297 4.418630 4.812928 4.270786 4.434786
## [8251] 4.515826 4.874671 4.089796 4.054392 4.555888 4.421147
## [8257] 5.988166 5.545765 4.416620 5.460685 4.283789 6.919278
## [8263] 4.313941 4.696075 4.306066 5.261136 4.049144 4.111461
## [8269] 5.452851 4.358751 5.562274 4.307841 4.958017 4.344095
## [8275] 4.921572 4.131962 6.525082 5.633138 5.863879 4.997183
## [8281] 7.834737 4.071873 4.274128 3.956405 4.555907 4.432890
## [8287] 6.146135 4.625159 4.858837 6.528409 4.586099 4.761231
## [8293] 4.907692 4.795936 7.383353 4.317433 4.703025 4.962645
## [8299] 4.108644 4.614484 5.274487 7.164719 6.214206 6.627643
## [8305] 5.909891 4.729854 5.024745 4.956522 4.370345 4.627540
## [8311] 9.940671 6.438351 6.776232 5.363766 4.240811 4.861026
## [8317] 4.105639 4.226608 4.714320 4.509416 4.273453 4.981164
## [8323] 4.146083 4.706877 5.944010 7.280089 4.272626 8.611738
## [8329] 5.514092 4.476160 4.944915 5.886334 4.594667 3.990761
## [8335] 4.919812 4.460756 6.193956 6.216726 4.320322 4.225922
## [8341] 4.973127 4.813720 4.551380 4.744124 4.673685 12.244416
## [8347] 5.641834 5.421666 4.538526 4.911062 4.847966 5.394091
## [8353] 5.492278 5.876702 4.870839 4.207995 4.291766 4.204705
## [8359] 4.294960 4.416649 4.712236 4.456539 4.358930 4.629667
## [8365] 4.656322 5.150840 4.756138 4.345266 5.072570 4.894492
## [8371] 6.706926 6.498667 7.536629 4.745295 4.254160 6.465295
## [8377] 5.495449 4.588763 5.700990 4.490125 5.220720 4.101374
## [8383] 11.362814 4.883859 4.693739 5.074707 5.897664 4.521475
## [8389] 10.921937 5.701563 4.889079 4.960623 4.778274 4.134964
## [8395] 4.849171 4.547029 4.880148 4.667457 4.736719 4.743079
## [8401] 4.398514 4.445178 4.505547 4.214980 4.382282 5.193324
## [8407] 5.060801 4.056023 4.308404 4.385467 7.443193 4.536750
## [8413] 4.226027 4.515062 4.783399 4.521945 4.970885 4.931033
## [8419] 3.305254 4.064232 4.320899 7.155704 4.752303 4.591384
## [8425] 5.598604 5.089783 5.171484 4.703296 4.223087 4.198750
## [8431] 5.079457 4.456548 4.310763 4.596252 4.560998 7.105468
## [8437] 6.470861 5.367906 4.339882 7.380094 5.973173 4.679988
## [8443] 6.067235 4.492194 4.410514 13.833165 4.487749 4.465043
## [8449] 5.892419 4.557101 6.451647 4.112991 4.581533 4.677896
## [8455] 7.487982 4.226906 5.688245 4.459981 6.813353 4.979175
## [8461] 4.166058 5.241932 4.640833 4.143950 4.677776 6.022462
## [8467] 4.946300 7.718227 4.829353 4.692480 4.599937 4.279514
## [8473] 8.524766 4.906156 6.903360 6.306725 4.839869 4.361896
## [8479] 4.467066 4.596217 6.087548 4.550861 4.616612 6.248170
## [8485] 4.105855 4.892110 4.206080 6.371461 4.787870 5.123711
## [8491] 5.839074 4.075580 5.324276 5.380460 4.584537 4.006755
## [8497] 4.888328 4.373462 5.680598 9.748872 5.106030 5.468448
## [8503] 7.043727 5.798573 6.058621 7.234628 6.799238 4.428503
## [8509] 5.292646 5.081010 4.565225 4.797901 4.466830 8.629268
## [8515] 5.034442 4.885920 4.905024 4.794480 5.428888 4.619661
## [8521] 6.657039 4.679712 11.939949 6.013087 4.166665 4.372063
## [8527] 4.581541 4.000103 4.536807 5.592269 4.352400 4.161395
## [8533] 4.634275 4.496997 4.657608 4.944262 5.128256 7.418443
## [8539] 4.499625 4.263668 5.254429 6.920031 4.276638 4.844785
## [8545] 4.636378 4.385731 4.400705 4.590203 4.997124 4.399502
## [8551] 5.373187 13.307162 4.164745 4.600034 3.958223 4.925317
## [8557] 4.252950 4.957530 6.202021 5.714383 4.328144 3.989823
## [8563] 5.381612 5.303893 4.226170 8.948523 4.661139 4.045685
## [8569] 4.180628 5.500782 7.888656 7.015762 5.453029 4.797364
## [8575] 4.563144 5.967209 8.515077 4.906652 5.084445 4.964279
## [8581] 4.641989 4.870901 9.847107 4.232852 4.565869 4.677218
## [8587] 6.272508 7.093353 4.333894 4.339416 4.280358 8.722032
## [8593] 5.992092 12.270160 4.087489 4.931892 8.440432 4.928732
## [8599] 4.928750 4.602680 5.448213 4.654273 5.265175 6.130032
## [8605] 4.010142 13.465066 5.490510 4.807466 4.396259 4.849204
## [8611] 4.897933 4.531777 6.470456 8.774519 4.352476 4.720754
## [8617] 4.332654 4.009599 4.234946 4.845862 5.103342 6.713763
## [8623] 4.647920 10.221906 4.431965 6.293365 6.157768 4.799805
## [8629] 4.152032 7.562748 5.133831 6.091805 5.758306 4.277272
## [8635] 5.999235 5.200869 4.285410 4.725940 8.049638 4.322045
## [8641] 4.508321 3.698795 4.755401 4.368664 4.669537 12.146733
## [8647] 4.419693 4.707653 7.004780 8.811322 4.616129 4.061361
## [8653] 6.050234 5.335650 4.667154 4.070191 5.321269 4.269626
## [8659] 6.646139 4.542986 6.559890 7.280458 4.054640 5.003310
## [8665] 6.176075 5.088608 4.630014 5.111863 4.046652 6.579354
## [8671] 4.961681 5.488772 10.873229 3.907484 4.735694 4.555778
## [8677] 4.024387 4.193472 4.508316 4.128436 4.593222 8.629155
## [8683] 4.616925 4.634679 7.338761 5.821854 5.147748 5.630587
## [8689] 4.615521 4.439622 5.914167 5.342849 5.371287 7.436416
## [8695] 5.448239 4.136288 4.584046 5.000392 4.450691 5.161092
## [8701] 4.863813 3.879953 4.380015 4.881793 4.342183 7.788989
## [8707] 4.839327 4.914574 5.312538 5.260620 3.919552 4.008549
## [8713] 11.227616 3.992389 4.700819 5.259775 4.458285 4.130878
## [8719] 4.201406 5.448766 4.500057 4.130834 6.379887 8.225555
## [8725] 5.054524 6.754727 5.021347 5.948656 4.314862 5.170614
## [8731] 4.945518 5.703646 5.288970 4.139595 4.731000 4.468209
## [8737] 5.283578 5.166729 7.523829 6.156545 4.587506 4.852061
## [8743] 4.620480 4.566107 5.532708 4.778094 4.264189 7.137617
## [8749] 4.117363 4.227267 5.983696 3.878578 4.647723 5.879397
## [8755] 5.735764 5.103842 5.625320 5.286960 4.470362 6.136884
## [8761] 4.542084 4.892323 4.236300 4.475080 4.127887 4.488780
## [8767] 7.313056 5.235396 4.498305 6.962144 7.356908 4.317420
## [8773] 5.710386 5.627927 4.940960 4.072474 4.239769 4.077156
## [8779] 7.341859 4.325419 4.048841 5.293829 4.425215 4.666019
## [8785] 6.652526 4.347692 5.064153 5.003763 5.347502 4.410306
## [8791] 4.493381 7.239765 5.113554 4.524148 4.470510 4.210880
## [8797] 4.512077 6.114903 4.303366 4.584696 5.467542 6.017308
## [8803] 4.237681 4.883593 4.384208 6.109610 5.673715 4.350966
## [8809] 4.585018 5.090048 4.655088 4.883150 3.960094 4.217224
## [8815] 5.728698 6.538477 6.315337 5.244617 4.669827 4.532059
## [8821] 5.245244 4.233978 6.195357 4.814123 4.546257 4.327226
## [8827] 6.579100 4.662314 4.444516 4.263333 4.497361 4.666095
## [8833] 4.404011 4.347655 5.452560 4.829648 4.304408 4.123970
## [8839] 4.738378 6.438004 4.122063 6.316079 4.771431 4.457178
## [8845] 4.235114 4.331869 4.717020 4.709824 4.844867 4.594044
## [8851] 6.037617 4.824650 4.343495 4.444671 5.392117 5.908861
## [8857] 4.846941 5.151370 4.523083 4.299574 4.292052 4.269522
## [8863] 4.000668 4.718195 5.158206 6.205268 4.761360 5.595184
## [8869] 4.902883 4.970901 5.292968 4.459776 4.425232 5.135514
## [8875] 4.518124 4.036565 4.796908 5.599189 4.339008 3.728002
## [8881] 4.221919 5.401057 4.990944 11.418596 5.560092 4.516887
## [8887] 4.646991 4.194461 4.218983 4.575634 5.614923 4.608861
## [8893] 4.341740 3.936201 3.951169 4.342963 5.162090 5.432138
## [8899] 8.058322 6.290831 4.767124 4.202043 4.574372 4.333826
## [8905] 16.734745 4.554027 5.740156 6.080961 4.479331 5.226623
## [8911] 5.169247 4.200707 8.648161 4.595337 5.061596 6.025250
## [8917] 4.741064 10.155008 3.900854 4.462096 4.221709 5.553794
## [8923] 4.679569 4.344814 4.102186 4.325470 4.834783 6.114234
## [8929] 6.207281 4.240538 4.722224 5.028913 4.452877 8.050048
## [8935] 4.750225 5.197359 5.463450 11.955962 4.324213 4.908134
## [8941] 6.058251 4.211871 5.213608 4.890199 4.541568 4.728037
## [8947] 4.464108 18.258818 5.361893 5.181609 7.177433 5.377443
## [8953] 4.326222 7.705089 5.041589 4.395877 5.985934 4.917032
## [8959] 5.294761 6.481832 5.145098 5.253734 4.382535 4.520942
## [8965] 4.061995 6.239442 4.493302 4.808509 4.678597 4.192346
## [8971] 6.432831 4.785278 6.140613 4.541441 5.731080 5.689508
## [8977] 4.583829 4.298880 4.300996 4.060205 5.208257 5.973253
## [8983] 7.420634 5.058516 4.134027 4.139678 6.993293 7.173921
## [8989] 4.481835 6.737479 4.265542 12.056331 4.081808 5.462985
## [8995] 4.449931 5.360979 4.372619 6.617536 4.739673 8.931979
## [9001] 6.160956 4.993500 12.084687 8.082119 3.889916 4.188074
## [9007] 4.441816 6.826498 5.531750 5.774766 6.879959 6.174703
## [9013] 5.038951 5.966475 5.784210 5.047267 9.126288 3.950756
## [9019] 4.844620 4.539248 5.390737 9.319520 5.306198 8.224894
## [9025] 5.246563 4.573888 8.792361 4.622149 5.409357 4.690149
## [9031] 4.990626 5.108847 4.972173 4.798727 5.371896 7.597000
## [9037] 6.725412 6.080935 4.812222 5.114298 6.608291 4.904290
## [9043] 5.702522 5.903687 5.307565 3.703133 6.209227 4.437582
## [9049] 4.399470 5.928432 4.042689 4.825876 4.200682 10.700602
## [9055] 4.382963 8.020595 4.474555 8.411439 4.726600 4.598926
## [9061] 5.266649 5.383281 10.306898 4.835983 7.393307 10.264018
## [9067] 5.712271 5.065957 4.158357 5.112994 4.074910 5.151652
## [9073] 4.271097 4.683159 7.357773 10.706584 4.706977 4.891781
## [9079] 4.540210 4.100382 5.353416 5.936786 4.330521 5.640252
## [9085] 6.109725 4.519230 6.131048 5.348267 6.532642 4.336033
## [9091] 6.117247 4.452223 11.030066 6.456594 4.761633 4.560236
## [9097] 4.318180 4.406501 4.512622 5.021550 5.732263 4.682835
## [9103] 8.329159 4.696395 5.239954 4.368733 5.109465 7.441590
## [9109] 10.194999 4.743524 5.063080 4.285613 4.999572 5.002396
## [9115] 4.872383 4.711904 5.748453 5.569599 4.875658 4.726413
## [9121] 6.276469 4.321695 4.330222 7.475929 6.080687 5.270883
## [9127] 4.169849 6.228022 6.069299 5.687276 5.368263 4.787157
## [9133] 4.534898 8.239618 6.069441 4.244336 5.066577 5.697529
## [9139] 4.391863 4.158541 6.015584 5.395139 5.607815 4.415330
## [9145] 4.731204 5.171827 7.059453 5.038555 9.271199 5.297937
## [9151] 4.447436 4.204220 4.742830 5.057260 5.003007 6.003344
## [9157] 6.432248 3.467103 4.636867 4.610742 7.081577 4.190600
## [9163] 4.600100 4.179443 4.115594 4.210657 4.355335 5.370463
## [9169] 4.774070 4.129414 4.652696 4.093414 4.176501 4.246778
## [9175] 5.205197 5.223855 5.469438 9.781103 4.030566 4.882081
## [9181] 4.075550 5.165321 5.807807 5.762740 4.447747 4.716472
## [9187] 4.417633 4.654388 5.054935 4.543366 4.608998 4.434560
## [9193] 7.177369 4.715166 4.637691 5.466212 6.840005 7.100607
## [9199] 4.637729 4.433975 4.419394 4.524723 4.888432 6.011085
## [9205] 4.281178 5.764128 5.774593 5.297843 4.730814 4.688350
## [9211] 5.124370 5.462340 6.401943 4.114138 4.462470 6.065818
## [9217] 4.067303 7.706340 4.921718 4.522333 5.044806 5.240841
## [9223] 5.468308 5.534435 6.131950 6.135692 6.057846 8.432470
## [9229] 4.793371 4.960447 4.177215 5.521730 4.824824 4.426536
## [9235] 4.330021 5.009621 5.096599 6.868874 7.828855 4.757642
## [9241] 4.995264 5.689252 4.520804 4.600831 5.591634 4.698432
## [9247] 4.908637 4.710090 4.724532 4.537075 4.935521 4.668795
## [9253] 11.341731 8.565204 6.669931 4.781306 4.922801 9.494071
## [9259] 4.560115 4.295989 4.953944 4.361899 6.683697 4.929550
## [9265] 5.595363 4.668099 5.322229 4.355317 6.237023 8.982897
## [9271] 5.405864 7.189775 5.160634 9.321555 7.771674 4.790439
## [9277] 4.718706 4.623962 4.171802 4.467984 4.461677 4.167726
## [9283] 4.592956 4.039991 4.832187 4.806085 4.599505 4.898188
## [9289] 4.128775 4.176203 4.383445 4.760312 4.361008 5.072327
## [9295] 5.187810 4.461506 4.058283 4.599933 4.321523 5.799512
## [9301] 4.659645 5.875958 4.896362 4.445753 4.280703 4.847097
## [9307] 5.184963 4.538873 4.882396 6.138346 4.272800 4.925775
## [9313] 4.949440 7.501966 5.443207 11.393568 4.186680 4.981131
## [9319] 5.680321 4.276770 7.054371 4.590240 8.010004 5.987174
## [9325] 4.861702 4.211867 4.443595 6.612328 6.445540 5.093140
## [9331] 4.815808 7.516859 4.188971 4.494050 4.857424 4.418641
## [9337] 5.008388 4.369562 4.804582 4.550947 4.673511 4.444533
## [9343] 4.174646 4.338479 4.148017 4.651213 4.904125 6.254519
## [9349] 5.470001 7.875888 4.815697 19.582308 4.586651 4.541753
## [9355] 6.253032 4.904609 4.231631 4.283992 6.256149 3.993669
## [9361] 5.115219 6.860994 4.590520 6.323816 5.187025 4.386699
## [9367] 4.696531 6.494110 5.066319 4.725292 4.953218 5.479957
## [9373] 4.539058 5.044365 4.465494 4.632941 3.986313 6.954823
## [9379] 3.935827 5.005884 4.675940 4.878855 3.971838 6.094896
## [9385] 5.264580 6.627435 4.439842 4.688231 4.552302 14.165590
## [9391] 5.829732 5.453616 4.461187 5.436939 5.910153 5.412013
## [9397] 4.345677 5.169222 11.396736 10.260180 4.903271 3.772717
## [9403] 5.759573 5.235217 4.622659 6.675286 4.872372 4.022821
## [9409] 5.647977 4.291315 6.780209 4.799332 4.674015 5.333107
## [9415] 8.519491 10.421611 4.475628 4.344845 6.379314 4.590684
## [9421] 4.914603 4.399698 4.269814 5.279671 4.334237 5.944983
## [9427] 4.440661 4.619532 6.524917 4.442718 5.547966 5.600921
## [9433] 4.525077 4.346572 6.114529 6.089209 4.644951 5.484225
## [9439] 4.628696 5.324649 4.322028 4.369917 4.779118 10.385761
## [9445] 4.405144 7.045770 5.025044 17.583300 5.480115 4.514144
## [9451] 6.402911 5.096102 4.947348 6.697157 8.123351 4.646053
## [9457] 3.872570 5.337892 6.586099 4.017005 5.886507 4.290094
## [9463] 5.097041 5.561680 4.798933 4.563572 4.496118 5.259956
## [9469] 5.903350 4.659302 5.777763 11.050646 6.053746 4.803461
## [9475] 5.017820 4.596474 4.484461 4.769729 4.171631 5.111383
## [9481] 4.552981 6.039404 5.658671 4.948127 5.376204 4.349903
## [9487] 5.343231 4.318310 5.244698 4.081234 7.936462 5.431817
## [9493] 5.811158 5.169855 5.643539 4.414138 4.119382 5.178025
## [9499] 5.064288 6.975855 4.987478 5.600621 5.746921 4.508281
## [9505] 5.722854 5.851005 6.716202 4.234470 6.200368 6.144055
## [9511] 4.605955 4.107557 4.495391 4.646160 5.313205 5.362063
## [9517] 7.454764 4.595049 13.881025 4.940008 5.042173 4.449318
## [9523] 7.108228 5.550179 6.913169 4.353018 5.103045 3.863882
## [9529] 8.492866 4.682289 9.170420 4.342704 4.334729 4.621278
## [9535] 4.872940 6.609991 5.374335 4.889298 8.336697 7.109626
## [9541] 4.204229 5.368170 4.730293 5.639034 9.833275 6.779308
## [9547] 6.486834 6.312674 4.100236 5.676230 6.176954 3.931114
## [9553] 3.854488 5.374873 5.712187 4.106024 4.126396 5.341317
## [9559] 4.543452 5.200898 6.528040 5.463249 5.011801 4.712656
## [9565] 4.525103 8.666433 4.525012 4.414232 4.360658 4.697278
## [9571] 6.373779 5.748301 5.308617 5.770658 4.221695 5.159468
## [9577] 5.189603 3.921087 4.377397 6.892761 4.286723 4.382278
## [9583] 8.721231 5.150538 6.098148 4.323217 4.310581 6.408326
## [9589] 4.465075 4.660489 5.288698 5.476835 5.015588 4.623408
## [9595] 6.530015 5.344023 5.461061 6.036690 7.295992 6.259373
## [9601] 4.351635 3.947143 4.239706 7.694970 4.604443 4.500029
## [9607] 4.204706 4.061270 4.904653 5.687784 4.450050 5.071509
## [9613] 5.250559 4.222317 4.990575 4.484593 4.248685 4.327588
## [9619] 4.807626 4.319331 5.038049 4.420630 4.833815 5.411061
## [9625] 5.986739 6.921175 7.978336 5.283915 5.145094 5.198855
## [9631] 4.680462 4.309499 6.370173 4.122204 8.132646 4.096431
## [9637] 4.443662 5.151307 4.973122 4.393544 8.491382 3.794349
## [9643] 5.145718 4.237621 4.580719 4.727253 6.844600 5.345573
## [9649] 4.451038 6.729929 4.039030 4.817367 5.173968 4.468529
## [9655] 6.372657 5.296658 4.940326 3.405378 7.660864 4.720833
## [9661] 11.091075 7.544322 4.594649 4.583802 4.904605 5.683219
## [9667] 6.261036 6.505070 4.141427 4.545212 5.073139 4.572982
## [9673] 4.991298 4.419248 4.689123 4.227907 11.933851 4.667332
## [9679] 5.739135 7.328100 4.307860 4.238346 5.125345 4.720322
## [9685] 4.745545 4.328883 7.426760 5.812476 5.183932 4.392965
## [9691] 5.112835 4.337321 4.586347 4.058994 7.508257 4.343520
## [9697] 4.283231 4.752662 9.028635 5.112493 6.787422 5.396584
## [9703] 7.259136 5.625785 4.598360 4.605163 4.709718 4.773455
## [9709] 4.432349 10.932801 6.361248 5.498542 4.863058 5.125703
## [9715] 5.672989 6.524127 4.173930 5.096659 4.715167 4.292807
## [9721] 7.443290 4.772422 4.930622 7.127833 4.546810 4.398680
## [9727] 4.140407 4.361451 5.663824 4.632064 4.439143 4.686535
## [9733] 4.460776 4.233528 5.142009 4.676127 4.650583 4.114621
## [9739] 5.104315 4.948419 4.471575 4.714300 4.681483 5.135353
## [9745] 5.354769 6.669719 5.996294 4.306082 4.845849 4.725650
## [9751] 5.040809 4.244692 4.829050 4.149204 4.917762 12.920829
## [9757] 4.533246 5.272852 4.190685 4.507129 7.989955 4.704250
## [9763] 6.324372 4.680435 4.380493 5.756993 5.475434 5.867731
## [9769] 4.765116 4.636389 5.309481 6.196994 4.408063 4.343608
## [9775] 4.414489 5.233731 4.432783 4.594794 5.785346 4.483524
## [9781] 4.972446 4.878490 4.476774 4.980056 4.474254 4.076338
## [9787] 4.191558 4.230395 4.540517 4.812457 4.408567 13.645806
## [9793] 8.573068 4.583499 4.927713 5.526527 4.432785 5.657902
## [9799] 4.548989 4.162621 5.442867 4.569420 5.216823 5.136791
## [9805] 4.282513 4.241879 6.464265 4.579066 4.937481 6.147309
## [9811] 5.982334 4.523676 4.833316 4.524552 6.003372 3.956760
## [9817] 5.550125 5.720449 6.060624 14.771512 4.182807 4.573742
## [9823] 3.943330 4.805188 6.234351 6.159843 4.449723 4.719668
## [9829] 4.740937 5.869196 6.726732 6.891904 6.521653 5.738909
## [9835] 4.726610 4.566276 4.971930 4.645782 4.190682 5.307951
## [9841] 5.778097 4.288562 4.272628 7.222245 4.968646 6.677062
## [9847] 5.334431 6.428757 5.290961 5.619164 4.284563 4.243228
## [9853] 4.958849 6.158483 6.346377 5.409052 6.820867 7.545242
## [9859] 4.445895 5.037334 3.830776 5.273944 4.633253 5.683578
## [9865] 4.112659 5.138025 4.417453 6.949350 4.217800 4.175399
## [9871] 5.918057 3.681330 4.867660 4.269786 6.403257 10.627245
## [9877] 6.111627 6.195567 4.623686 4.521783 4.501962 6.454633
## [9883] 4.274276 8.858261 4.369866 4.059507 5.423510 4.614438
## [9889] 5.018562 4.871432min(mif_sim_combined_output_df$R_0)## [1] 0.1935601mif_sim_combined_output_df_end_params = filter(mif_sim_combined_output_df) %>%
filter(msg == "mif1")
min(mif_sim_combined_output_df_end_params$R_0)## [1] 0.1935601range(top_2_LL_end_params$R_0)## [1] 3.057067 21.830078hist(top_2_LL_end_params$R_0)
p = ggplot(data = top_2_LL_end_params,
aes(x = R_0, y = loglik)) +
geom_point() +
rahul_man_figure_theme
p
p = ggplot(data = top_2_LL_end_params,
aes(x = E_0, y = loglik)) +
geom_point() +
rahul_man_figure_theme
p
p = ggplot(data = top_2_LL_end_params,
aes(x = E_0+z_0, y = loglik)) +
geom_point() +
rahul_man_figure_theme
p
p = ggplot(data = top_2_LL_end_params,
aes(x = R_0, y = E_0+z_0)) +
geom_point() +
rahul_man_figure_theme
p
p = ggplot(data = top_2_LL_end_params,
aes(x = R_0, y = p_S)) +
geom_point() +
rahul_man_figure_theme
p
range(top_2_LL_end_params$sigma_M)## [1] 0.2746054 0.2894537Analsyis of top 20 LL
top_25_LL = mif_sim_combined_output_df_end_params %>%
filter(loglik > max(loglik) - 25)
range(top_25_LL$R_0)## [1] 1.363338 197.245112top_20_LL_end_params = mif_sim_combined_output_df_end_params %>%
filter(loglik > max(loglik)-20)
top_5_LL = mif_sim_combined_output_df_end_params %>%
filter(loglik > max(loglik) - 5)
range(top_5_LL$R_0)## [1] 2.515812 99.556196range(top_5_LL$E_0)## [1] 3189.781 47351.483p = ggplot(data = top_5_LL,
aes(x = R_0, y = E_0)) +
geom_point() + rahul_man_figure_theme
p
p = ggplot(data = top_5_LL,
aes(x = p_S, y = R_0)) +
geom_point() + rahul_man_figure_theme
p
Evalulate model performance
Antibody data
Anitbody data from Table 2 of
https://www.medrxiv.org/content/10.1101/2020.06.28.20142190v1.full.pdf
(Version posted on June 29, 2020, accessed on July 4,2020).
nyc_sentinel_antibody_obs = data.frame(Date = c("2020-03-01",
"2020-03-08",
"2020-03-15",
"2020-03-22",
"2020-03-29",
"2020-04-05",
"2020-04-12",
"2020-04-19"),
Num_Positive = c(8,
2,
8,
7,
9,
33,
27,
47),
Prop_Positive = c(0.020,
0.005,
0.016,
0.017,
0.022,
0.101,
0.117,
0.193),
Num_Sampled = c(402,
407,
493,
425,
412,
326,
230,
243))
nyc_sentinel_antibody_obs = nyc_sentinel_antibody_obs %>%
mutate(Date = as.Date(Date))
write.csv(nyc_sentinel_antibody_obs,
"../Generated_Data/raw_antibody_data_from_nyc_study.csv",
row.names = FALSE)
p = ggplot(data = nyc_sentinel_antibody_obs,
aes(x = Date, y = Prop_Positive)) + geom_point() +
geom_line() + rahul_man_figure_theme
p
png("../Figures/Profiles/N_12_Model/Anitbody_data.png")
print(p)
dev.off()## quartz_off_screen
## 2We followed the Wilson-Brown CI method as described here: https://www.itl.nist.gov/div898/handbook/prc/section2/prc241.htm
#Ex:
#p = 0.1
#n = 10
#alpha = 0.05
get_Wilson_Brown_upper_CI = function(p, n, alpha){
Z_score_upper = qnorm(p = 1-alpha/2, mean = 0, sd = 1)
Z_score_upper_sq = Z_score_upper^2
upper_under_sqrt = ((p*(1-p))/n) + Z_score_upper_sq/(4*n^2)
UL_num = p + ((Z_score_upper_sq)/(2*n)) + Z_score_upper*sqrt(upper_under_sqrt)
UL_denom = 1 + Z_score_upper_sq/n
UL_bound = UL_num/UL_denom
return(UL_bound)
}
get_Wilson_Brown_lower_CI = function(p, n, alpha){
Z_score_lower = qnorm(p = alpha/2, mean = 0, sd = 1)
Z_score_lower_sq = Z_score_lower^2
lower_under_sqrt = ((p*(1-p))/n) + Z_score_lower_sq/(4*n^2)
LL_num = p + ((Z_score_lower_sq)/(2*n)) + Z_score_lower*sqrt(lower_under_sqrt)
LL_denom = 1 + Z_score_lower_sq/n
LL_bound = LL_num/LL_denom
return(LL_bound)
}nyc_antibody_df = nyc_sentinel_antibody_obs %>%
mutate(times = as.numeric(Date - true_start_date),
upper_CI = get_Wilson_Brown_upper_CI(n = Num_Sampled, p = Prop_Positive, alpha = 0.05),
lower_CI = get_Wilson_Brown_lower_CI(n = Num_Sampled, p = Prop_Positive, alpha = 0.05))
write.csv(nyc_antibody_df,
"../Generated_Data/antibody_data_from_nyc_study_with_RS_calc_CI.csv",
row.names = FALSE)
p = ggplot(data = nyc_antibody_df,
aes(x = Date, y = Prop_Positive)) + geom_ribbon(aes(ymin = lower_CI,
ymax = upper_CI),
fill = 'grey70',
alpha = 0.7) +
geom_point() +
geom_line() + rahul_man_figure_theme
p
png("../Figures/Profiles/N_12_Model/Anitbody_data_with_RS_calc_CI_dates.png")
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = nyc_antibody_df,
aes(x = times, y = Prop_Positive)) + geom_ribbon(aes(ymin = lower_CI,
ymax = upper_CI),
fill = 'grey70',
alpha = 0.7) +
geom_point() +
geom_line() + rahul_man_figure_theme + xlab("Days since March 1, 2020")
p
png("../Figures/Profiles/N_12_Model/Anitbody_data_with_RS_calc_CI_days.png")
print(p)
dev.off()## quartz_off_screen
## 2###Load ML combination for model accross all five profiles
MLE = mif_sim_combined_output_df %>%
filter(msg == "mif1") %>%
filter(loglik == max(loglik))
ML_params = MLE %>%
dplyr::select(-param_index, -iter_num,
-msg, -loglik, -nfail,
-trace_num, -loglist.se)
MIF_run_1_MLE_params = ML_params
MIF_run_1_MLE_params## M_0 V_0 K_0 R_0 b_q b_a b_p p_S p_H_cond_S phi_E
## 1 5 13 14 4.426536 0.1212218 0.9829669 0 0.2869619 0.1939382 1.09
## phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 1.09 0.2 0.125 9.638642 8e+06 30583.41 5323.79 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.279458
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## G_w_y_scaling
## 1 0.162write.csv(MLE, file = "../Generated_Data/Profiles/N_12_Model/Grid_Search_MIF_run_1/MLE_Grid_Search_MIF_run_1_with_LL.csv",
row.names = FALSE)
write.csv(MIF_run_1_MLE_params, file = "../Generated_Data/Profiles/N_12_Model/Grid_Search_MIF_run_1/MLE_Grid_Search_MIF_run_1.csv",
row.names = FALSE)
small_E_0_param = top_5_LL %>%
filter(E_0 == min(E_0))
small_E_0_param_combo = small_E_0_param %>%
dplyr::select(-param_index, -iter_num,
-msg, -loglik, -nfail,
-trace_num, -loglist.se)
small_p_S_param = top_2_LL_end_params %>%
filter(p_S == min(p_S))
small_p_S_param_combo = small_p_S_param %>%
dplyr::select(-param_index, -iter_num,
-msg, -loglik, -nfail,
-trace_num, -loglist.se)
small_p_S_param## M_0 V_0 K_0 R_0 b_q b_a b_p p_S p_H_cond_S phi_E
## 1 5 13 14 5.515613 0.1302752 0.8394191 0 0.1373792 0.1595473 1.09
## phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 1.09 0.2 0.125 7.863558 8e+06 44615.8 17586.93 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.2799215
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## G_w_y_scaling msg iter_num param_index loglik nfail trace_num
## 1 0.162 mif1 18 82 -1.176273 NA NA
## loglist.se
## 1 0.0117839write.csv(small_p_S_param, file = "../Generated_Data/Profiles/N_12_Model/Grid_Search_MIF_run_1/small_p_S_top_2_LL_comb_with_loglik.csv",
row.names = FALSE)
save(top_2_LL_end_params,file = paste0("../Generated_Data/Profiles/", model_name, "_Model/Grid_Search_MIF_run_1/top_2_LL_end_params.RData"))
# small_R_0_ML_params = small_R_0_MLE %>%
# dplyr::select(-param_index, -iter_num,
# -msg, -loglik, -nfail,
# -trace_num, -loglist.se)
# small_R_0_ML_paramsSimulate trajectories from MLE parameters for baseline model
We simulate 100 stochastic trajectories (both process and environmental noise) from the overall MLE for the baseline model. We calculate the mean and the 2.5\(\%\) and 97.5\(\%\) quantile for values of the trajectories.
##Simulation from ML
sim_data = simulate(nsim = 100,
seed = 12345,
times = Observed_data$times,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = ML_params,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
covar = covar,
format = "data.frame")
#head(sim_data)
sim_data_median_Y = aggregate(Y ~ time, sim_data, median)
sim_data_quant = aggregate(Y ~ time, sim_data, quantile, probs = c(0.025, 0.975))
sim_data_quant$Y = as.data.frame(sim_data_quant$Y)
colnames(sim_data_quant$Y) = c("Q2.5", "Q97.5")Compare simulated trajectories with that of real data
The plots below show the real observed dengue case trajectory versus the mean and 2.5\(\%\) and 97.5\(\%\) quantile from the stochastic simulation of the baseline model MLE.
comp_data = data.frame(time = sim_data_median_Y$time,
sim_data_median = sim_data_median_Y$Y,
sim_data_low_Q = sim_data_quant$Y$Q2.5,
sim_data_high_Q = sim_data_quant$Y$Q97.5,
true_data = Observed_data$Y)
comp_data_melt = melt(comp_data, id.vars = c("time", "sim_data_low_Q",
"sim_data_high_Q"))
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("Observed Daily Cases")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/MIF_Run_1/cases_over_time_simulation_from_ML_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = log(sim_data_low_Q),
ymax = log(sim_data_high_Q)), fill = "grey70") +
geom_line(aes(x = time, y = log(value), color = variable)) +
geom_point(aes(x = time, y = log(value), color = variable)) +
rahul_theme +
theme_white_background +
median_legend_lab_with_fit_data + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("log(Observed Daily Cases)")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/MIF_Run_1/log_cases_over_time_simulation_from_ML_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = log(sim_data_low_Q),
ymax = log(sim_data_high_Q)), fill = "grey70") +
geom_line(aes(x = time, y = log(value), color = variable)) +
geom_point(aes(x = time, y = log(value), color = variable)) +
rahul_theme +
theme_white_background +
median_legend_lab_with_fit_data +rahul_man_figure_theme+
xlab("Days since March 1, 2020")+
ylab("log(Daily Reported Cases)")
p
S over N
sim_data$S_over_N = sim_data$S/sim_data$N
sim_data_S_over_N_median = aggregate(S_over_N ~ time, sim_data, median)
sim_data_S_over_N_quant = aggregate(S_over_N ~ time, sim_data, quantile, probs = c(0.025, 0.975))
sim_data_S_over_N_quant$S_over_N = as.data.frame(sim_data_S_over_N_quant$S_over_N)
colnames(sim_data_S_over_N_quant$S_over_N) = c("Q2.5", "Q97.5")
comp_data = data.frame(time = sim_data_S_over_N_median$time,
sim_data_median = sim_data_S_over_N_median$S_over_N,
sim_data_low_Q = sim_data_S_over_N_quant$S_over_N$Q2.5,
sim_data_high_Q = sim_data_S_over_N_quant$S_over_N$Q97.5)
comp_data_melt = melt(comp_data, id.vars = c("time", "sim_data_low_Q",
"sim_data_high_Q"))
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("S over N")
p
png("../Figures/Profiles/N_12_Model/MLE_S_over_N.png")
print(p)
dev.off()## quartz_off_screen
## 2Specific trajectories (S/N MLE parameter combination)
select_trajectories = filter(sim_data, .id %in% seq(from = 5, to = 10))
select_trajectories = dplyr::select(select_trajectories, time, .id, S, N)
select_trajectories = select_trajectories %>%
mutate(S_over_N = S/N)
select_trajectories = select_trajectories %>%
dplyr::select(-S, -N)
select_trajectories$type = "Sim"
library(RColorBrewer)
full_blue_pallete = brewer.pal(9, "Blues")
sim_traj_pallete = full_blue_pallete[9:4]
sim_traj_scale = scale_color_manual(name = "Legend", values = c( sim_traj_pallete), labels = c("Sim_Traj_1", "Sim_Traj_2", "Sim_Traj_3", "Sim_Traj_4", "Sim_Traj_5", "Sim_Traj_6"))
p = ggplot(data = select_trajectories,
aes(x = time, y = S_over_N, color = .id)) + geom_point(size = 2) + geom_line(aes(group = .id)) + rahul_theme + rahul_man_figure_theme + theme_white_background +
sim_traj_scale
p
png("../Figures/Profiles/N_12_Model/MIF_Run_1/Specific_traj_S_over_N_MLE.png")
print(p)
dev.off()## quartz_off_screen
## 2R over N (MLE parameter combination)
sim_data$R_over_N = (sim_data$R_A +sim_data$R_F + sim_data$R_H)/sim_data$N
sim_data_R_over_N_median = aggregate(R_over_N ~ time, sim_data, median)
sim_data_R_over_N_quant = aggregate(R_over_N ~ time, sim_data, quantile, probs = c(0.025, 0.975))
sim_data_R_over_N_quant$R_over_N = as.data.frame(sim_data_R_over_N_quant$R_over_N)
colnames(sim_data_R_over_N_quant$R_over_N) = c("Q2.5", "Q97.5")
comp_data = data.frame(time = sim_data_R_over_N_median$time,
sim_data_median = sim_data_R_over_N_median$R_over_N,
sim_data_low_Q = sim_data_R_over_N_quant$R_over_N$Q2.5,
sim_data_high_Q = sim_data_R_over_N_quant$R_over_N$Q97.5)
comp_data_melt = melt(comp_data, id.vars = c("time", "sim_data_low_Q",
"sim_data_high_Q"))
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("R over N")
p
png("../Figures/Profiles/N_12_Model/MLE_param_R_over_N.png")
print(p)
dev.off()## quartz_off_screen
## 2Specific trajectories (R/N MLE combination)
select_trajectories = filter(sim_data, .id %in% seq(from = 5, to = 10))
select_trajectories = dplyr::select(select_trajectories, time, .id, R_A,R_F, R_H, N)
select_trajectories = select_trajectories %>%
mutate(R_over_N = (R_A + R_H + R_F)/N)
select_trajectories = select_trajectories %>%
dplyr::select(-R_A, -R_H, -R_F, -N)
select_trajectories$type = "Sim"
library(RColorBrewer)
full_blue_pallete = brewer.pal(9, "Blues")
sim_traj_pallete = full_blue_pallete[9:4]
sim_traj_scale = scale_color_manual(name = "Legend", values = c( sim_traj_pallete), labels = c("Sim_Traj_1", "Sim_Traj_2", "Sim_Traj_3", "Sim_Traj_4", "Sim_Traj_5", "Sim_Traj_6"))
p = ggplot(data = select_trajectories,
aes(x = time, y = R_over_N, color = .id)) + geom_point(size = 2) + geom_line(aes(group = .id)) + rahul_theme + rahul_man_figure_theme + theme_white_background +
sim_traj_scale
p
png("../Figures/Profiles/N_12_Model/MIF_Run_1/Specific_traj_R_over_N_MLE_comb.png")
print(p)
dev.off()## quartz_off_screen
## 2Compare R/N with anitbody data (MLE parameter combination)
p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("R over N") +
geom_ribbon(data = nyc_antibody_df,aes(x = times, ymin = lower_CI,
ymax = upper_CI),
fill = 'grey70',
alpha = 0.7) +
geom_point(data = nyc_antibody_df,
aes(x = times, y = Prop_Positive), color = 'blue') +
geom_line(data = nyc_antibody_df,
aes(x = times, y = Prop_Positive), color = 'blue')
p
png("../Figures/Profiles/N_12_Model/MLE_param_R_over_N_vs_anitbody_test.png")
print(p)
dev.off()## quartz_off_screen
## 2Simulate trajectories from small p_S param
We simulate 100 stochastic trajectories (both process and environmental noise) from the overall MLE for the baseline model. We calculate the mean and the 2.5\(\%\) and 97.5\(\%\) quantile for values of the trajectories.
##Simulation from ML
sim_data = simulate(nsim = 100,
seed = 12345,
times = Observed_data$times,
t0 = t0,
rprocess = pomp::euler(rproc,delta.t = 1),
params = small_p_S_param_combo,
paramnames = paramnames,
statenames = statenames,
obsnames = obsnames,
accumvars = acumvarnames,
rinit = init,
rmeas = rmeas,
partrans = par_trans,
covar = covar,
format = "data.frame")
#head(sim_data)
sim_data_median_Y = aggregate(Y ~ time, sim_data, median)
sim_data_quant = aggregate(Y ~ time, sim_data, quantile, probs = c(0.025, 0.975))
sim_data_quant$Y = as.data.frame(sim_data_quant$Y)
colnames(sim_data_quant$Y) = c("Q2.5", "Q97.5")Compare simulated trajectories with that of real data
The plots below show the real observed dengue case trajectory versus the mean and 2.5\(\%\) and 97.5\(\%\) quantile from the stochastic simulation of the baseline model MLE.
comp_data = data.frame(time = sim_data_median_Y$time,
sim_data_median = sim_data_median_Y$Y,
sim_data_low_Q = sim_data_quant$Y$Q2.5,
sim_data_high_Q = sim_data_quant$Y$Q97.5,
true_data = Observed_data$Y)
comp_data_melt = melt(comp_data, id.vars = c("time", "sim_data_low_Q",
"sim_data_high_Q"))
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("Observed Daily Cases")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/MIF_Run_1/cases_over_time_simulation_from_small_p_S_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = log(sim_data_low_Q),
ymax = log(sim_data_high_Q)), fill = "grey70") +
geom_line(aes(x = time, y = log(value), color = variable)) +
geom_point(aes(x = time, y = log(value), color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab_with_fit_data + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("log(Observed Daily Cases)")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/MIF_Run_1/log_cases_over_time_simulation_from_small_p_S_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = log(sim_data_low_Q),
ymax = log(sim_data_high_Q)), fill = "grey70") +
geom_line(aes(x = time, y = log(value), color = variable)) +
geom_point(aes(x = time, y = log(value), color = variable),
size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab_with_fit_data +rahul_man_figure_theme+
xlab("Days since March 1, 2020")+
ylab("log(Daily Reported Cases)")
p
S over N
sim_data$S_over_N = sim_data$S/sim_data$N
sim_data_S_over_N_median = aggregate(S_over_N ~ time, sim_data, median)
sim_data_S_over_N_quant = aggregate(S_over_N ~ time, sim_data, quantile, probs = c(0.025, 0.975))
sim_data_S_over_N_quant$S_over_N = as.data.frame(sim_data_S_over_N_quant$S_over_N)
colnames(sim_data_S_over_N_quant$S_over_N) = c("Q2.5", "Q97.5")
comp_data = data.frame(time = sim_data_S_over_N_median$time,
sim_data_median = sim_data_S_over_N_median$S_over_N,
sim_data_low_Q = sim_data_S_over_N_quant$S_over_N$Q2.5,
sim_data_high_Q = sim_data_S_over_N_quant$S_over_N$Q97.5)
comp_data_melt = melt(comp_data, id.vars = c("time", "sim_data_low_Q",
"sim_data_high_Q"))
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("S over N")
p
png("../Figures/Profiles/N_12_Model/Small_p_S_param_S_over_N.png")
print(p)
dev.off()## quartz_off_screen
## 2Specific trajectories (S/N small p_s_param combination)
select_trajectories = filter(sim_data, .id %in% seq(from = 5, to = 10))
select_trajectories = dplyr::select(select_trajectories, time, .id, S, N)
select_trajectories = select_trajectories %>%
mutate(S_over_N = S/N)
select_trajectories = select_trajectories %>%
dplyr::select(-S, -N)
select_trajectories$type = "Sim"
library(RColorBrewer)
full_blue_pallete = brewer.pal(9, "Blues")
sim_traj_pallete = full_blue_pallete[9:4]
sim_traj_scale = scale_color_manual(name = "Legend", values = c( sim_traj_pallete), labels = c("Sim_Traj_1", "Sim_Traj_2", "Sim_Traj_3", "Sim_Traj_4", "Sim_Traj_5", "Sim_Traj_6"))
p = ggplot(data = select_trajectories,
aes(x = time, y = S_over_N, color = .id)) + geom_point(size = 2) + geom_line(aes(group = .id)) + rahul_theme + rahul_man_figure_theme + theme_white_background +
sim_traj_scale
p
png("../Figures/Profiles/N_12_Model/MIF_Run_1/Specific_traj_S_over_N_small_p_S_comb.png")
print(p)
dev.off()## quartz_off_screen
## 2R over N (small \(p_S\) parameter combination)
sim_data$R_over_N = (sim_data$R_A +sim_data$R_F + sim_data$R_H)/sim_data$N
sim_data_R_over_N_median = aggregate(R_over_N ~ time, sim_data, median)
sim_data_R_over_N_quant = aggregate(R_over_N ~ time, sim_data, quantile, probs = c(0.025, 0.975))
sim_data_R_over_N_quant$R_over_N = as.data.frame(sim_data_R_over_N_quant$R_over_N)
colnames(sim_data_R_over_N_quant$R_over_N) = c("Q2.5", "Q97.5")
comp_data = data.frame(time = sim_data_R_over_N_median$time,
sim_data_median = sim_data_R_over_N_median$R_over_N,
sim_data_low_Q = sim_data_R_over_N_quant$R_over_N$Q2.5,
sim_data_high_Q = sim_data_R_over_N_quant$R_over_N$Q97.5)
comp_data_melt = melt(comp_data, id.vars = c("time", "sim_data_low_Q",
"sim_data_high_Q"))
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("R over N")
p
png("../Figures/Profiles/N_12_Model/Small_p_S_param_R_over_N.png")
print(p)
dev.off()## quartz_off_screen
## 2Specific trajectories (R/N small p_s_parameter combination)
select_trajectories = filter(sim_data, .id %in% seq(from = 5, to = 10))
select_trajectories = dplyr::select(select_trajectories, time, .id, R_A,R_F, R_H, N)
select_trajectories = select_trajectories %>%
mutate(R_over_N = (R_A + R_H + R_F)/N)
select_trajectories = select_trajectories %>%
dplyr::select(-R_A, -R_H, -R_F, -N)
select_trajectories$type = "Sim"
library(RColorBrewer)
full_blue_pallete = brewer.pal(9, "Blues")
sim_traj_pallete = full_blue_pallete[9:4]
sim_traj_scale = scale_color_manual(name = "Legend", values = c( sim_traj_pallete), labels = c("Sim_Traj_1", "Sim_Traj_2", "Sim_Traj_3", "Sim_Traj_4", "Sim_Traj_5", "Sim_Traj_6"))
p = ggplot(data = select_trajectories,
aes(x = time, y = R_over_N, color = .id)) + geom_point(size = 2) + geom_line(aes(group = .id)) + rahul_theme + rahul_man_figure_theme + theme_white_background +
sim_traj_scale
p
png("../Figures/Profiles/N_12_Model/MIF_Run_1/Specific_traj_R_over_N_small_p_S_comb.png")
print(p)
dev.off()## quartz_off_screen
## 2Compare R/N with anitbody data (small \(p_S\) parameter combination)
p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = sim_data_low_Q,
ymax = sim_data_high_Q), fill = "grey70") +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable), size = 3) +
rahul_theme +
theme_white_background +
median_legend_lab + rahul_man_figure_theme +
xlab("Days since March 1, 2020")+
ylab("R over N") +
geom_ribbon(data = nyc_antibody_df,aes(x = times, ymin = lower_CI,
ymax = upper_CI),
fill = 'grey70',
alpha = 0.7) +
geom_point(data = nyc_antibody_df,
aes(x = times, y = Prop_Positive), color = 'blue') +
geom_line(data = nyc_antibody_df,
aes(x = times, y = Prop_Positive), color = 'blue')
p
png("../Figures/Profiles/N_12_Model/Small_p_S_param_R_over_N_vs_anitbody_test.png")
print(p)
dev.off()## quartz_off_screen
## 2Top 2LL Simluation (TBD)
Combine output subsets
head(top_2_LL_end_params)## M_0 V_0 K_0 R_0 b_q b_a b_p p_S p_H_cond_S phi_E
## 1 5 13 14 5.040920 0.1199816 0.73827447 0 0.3773241 0.1767405 1.09
## 2 5 13 14 4.662393 0.1205942 0.68837081 0 0.5929974 0.1551997 1.09
## 3 5 13 14 5.579049 0.1183684 0.54631179 0 0.4603340 0.1669007 1.09
## 4 5 13 14 7.162057 0.1212649 0.44841826 0 0.2924341 0.1561453 1.09
## 5 5 13 14 7.141834 0.1235621 0.01397251 0 0.5145169 0.1537657 1.09
## 6 5 13 14 4.833856 0.1175417 0.95746195 0 0.2454977 0.1556645 1.09
## phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 1.09 0.2 0.125 17.394855 8e+06 22528.90 4862.690 0
## 2 1.09 0.2 0.125 4.818495 8e+06 14264.69 3496.775 0
## 3 1.09 0.2 0.125 4.596704 8e+06 18134.69 4332.758 0
## 4 1.09 0.2 0.125 4.536257 8e+06 24722.19 7827.191 0
## 5 1.09 0.2 0.125 9.421572 8e+06 17913.11 3936.113 0
## 6 1.09 0.2 0.125 5.409624 8e+06 25495.10 9904.451 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.2814612
## 2 17 22 0.9 0.2812833
## 3 17 22 0.9 0.2813773
## 4 17 22 0.9 0.2816628
## 5 17 22 0.9 0.2831911
## 6 17 22 0.9 0.2842662
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 2 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 3 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 4 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 5 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 6 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## G_w_y_scaling msg iter_num param_index loglik nfail trace_num
## 1 0.162 mif1 2 1 -0.7954440 NA NA
## 2 0.162 mif1 3 1 -0.8877775 NA NA
## 3 0.162 mif1 4 1 -0.6177721 NA NA
## 4 0.162 mif1 9 1 -0.9084578 NA NA
## 5 0.162 mif1 11 1 -0.7863457 NA NA
## 6 0.162 mif1 15 1 -1.1438794 NA NA
## loglist.se
## 1 0.007197377
## 2 0.005469438
## 3 0.008664239
## 4 0.009767994
## 5 0.008395310
## 6 0.008197142top_2_LL_end_with_antibody_LL =
data.frame(matrix(nrow = 0,
ncol = ncol(top_2_LL_end_params) + 3))
colnames(top_2_LL_end_with_antibody_LL) =
c(colnames(top_2_LL_end_params), "Antibody_Mean_LL", "Antibody_LL_SE","Median_Herd_Immunity")
top_2_LL_all_combo_data = data.frame(matrix(nrow = 0, ncol = 5))
colnames(top_2_LL_all_combo_data) = c("time", "sim_data_median ", "sim_data_low_Q",
"sim_data_high_Q","combo_num")
top_2_LL_all_combo_S_data = data.frame(matrix(nrow = 0, ncol = 5))
colnames(top_2_LL_all_combo_S_data) = c("time", "sim_data_S_over_N_median ", "sim_data_S_over_N_low_Q",
"sim_data_S_over_N_high_Q","combo_num")
top_2_LL_all_combo_C_Q1_data = data.frame(matrix(nrow = 0, ncol = 5))
colnames(top_2_LL_all_combo_C_Q1_data) = c("time", "sim_data_C_Q1_median ", "sim_data_C_Q1_low_Q",
"sim_data_C_Q1_high_Q","combo_num")
top_2_LL_all_combo_R_data = data.frame(matrix(nrow = 0, ncol = 5))
colnames(top_2_LL_all_combo_R_data) = c("time", "sim_data_R_over_N_median ", "sim_data_R_over_N_low_Q",
"sim_data_R_over_N_high_Q","combo_num")
midway_max_jobs = 500
group_size = nrow(top_2_LL_end_params) / midway_max_jobs
for(param_index in seq(1:midway_max_jobs)){
if(param_index %% 50 == 0){
print(param_index)
}
load(file = paste0("../Generated_Data/Profiles/",
model_name, "_Model/Antibody_LL_Param_Subsets/",
model_name, "_Model_top_2_LL_all_params_top_2_LL_subset_",
param_index, ".RData"))
top_2_LL_end_with_antibody_LL = rbind(top_2_LL_end_with_antibody_LL,
top_2_LL_end_subset_with_antibody_LL)
load(
file = paste0(
"../Generated_Data/Profiles/",
model_name, "_Model/C_Q1_Subsets/",model_name,
"_Model_top_2_LL_all_params_top_2_LL_subset_",
param_index, ".RData"))
top_2_LL_all_combo_C_Q1_data = rbind(top_2_LL_all_combo_C_Q1_data,
all_combo_C_Q1_data)
load(file = paste0(
"../Generated_Data/Profiles/",
model_name, "_Model/R_over_N_Subsets/",
model_name, "_Model_top_2_LL_all_params_sim_R_over_N_data_subset_",
param_index, ".RData"
))
top_2_LL_all_combo_R_data = rbind(top_2_LL_all_combo_R_data,
all_combo_R_data)
load(file = paste0(
"../Generated_Data/Profiles/",
model_name, "_Model/S_over_N_Subsets/",
model_name, "_Model_top_2_LL_all_params_sim_S_over_N_data_subset_",
param_index, ".RData"
))
top_2_LL_all_combo_S_data = rbind(top_2_LL_all_combo_S_data,
all_combo_S_data)
load(file = paste0(
"../Generated_Data/Profiles/",
model_name, "_Model/combo_data_Subsets/",model_name,
"_Model_top_2_LL_all_params_sim_cases_data_subset_",
param_index, ".RData"))
top_2_LL_all_combo_data = rbind(top_2_LL_all_combo_data,
all_combo_data)
}## [1] 50
## [1] 100
## [1] 150
## [1] 200
## [1] 250
## [1] 300
## [1] 350
## [1] 400
## [1] 450
## [1] 500save(top_2_LL_all_combo_data,file = paste0("../Generated_Data/Profiles/",
model_name, "_Model/top_2_LL_data/",model_name,
"_Model_top_2_LL_all_params_sim_cases_data.RData"))
save(top_2_LL_all_combo_S_data,file = paste0("../Generated_Data/Profiles/",
model_name, "_Model/top_2_LL_data/",model_name,
"_Model_top_2_LL_all_params_sim_S_over_N_data.RData"))
save(top_2_LL_all_combo_R_data,file = paste0("../Generated_Data/Profiles/",
model_name, "_Model/top_2_LL_data/",model_name,
"_Model_top_2_LL_all_params_sim_R_over_N_data.RData"))
save(top_2_LL_all_combo_C_Q1_data,file = paste0("../Generated_Data/Profiles/",
model_name, "_Model/top_2_LL_data/",model_name,
"_Model_top_2_LL_all_params_sim_C_Q_1_data.RData"))
save(top_2_LL_end_with_antibody_LL,file = paste0("../Generated_Data/Profiles/",
model_name, "_Model/top_2_LL_data/",model_name,
"_Model_top_2_LL_all_params_with_antibody_LL.RData"))Calculate R_0 NGM for top_2_LL
\[\begin{equation} R_{0_{NGM}} = \frac{\beta_P}{\phi_U} + \frac{\beta_A (1-p_S)}{\phi_S} + \frac{\beta p_S}{\phi_S} + \frac{\beta (1-p_{\text{H_cond_S}}) p_S}{\gamma} \end{equation}\]
In terms of model parameters: \[\begin{equation} R_{0_{NGM}} = \frac{\beta*b_p}{\phi_U} + \frac{\beta*b_a (1-p_S)}{\phi_S} + \frac{\beta p_S}{\phi_S} + \frac{\beta (1-p_{\text{H_cond_S}}) p_S}{\gamma} \end{equation}\]
head(top_2_LL_end_with_antibody_LL)## M_0 V_0 K_0 R_0 b_q b_a b_p p_S p_H_cond_S phi_E
## 1 5 13 14 5.040920 0.1199816 0.73827447 0 0.3773241 0.1767405 1.09
## 2 5 13 14 4.662393 0.1205942 0.68837081 0 0.5929974 0.1551997 1.09
## 3 5 13 14 5.579049 0.1183684 0.54631179 0 0.4603340 0.1669007 1.09
## 4 5 13 14 7.162057 0.1212649 0.44841826 0 0.2924341 0.1561453 1.09
## 5 5 13 14 7.141834 0.1235621 0.01397251 0 0.5145169 0.1537657 1.09
## 6 5 13 14 4.833856 0.1175417 0.95746195 0 0.2454977 0.1556645 1.09
## phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 1.09 0.2 0.125 17.394855 8e+06 22528.90 4862.690 0
## 2 1.09 0.2 0.125 4.818495 8e+06 14264.69 3496.775 0
## 3 1.09 0.2 0.125 4.596704 8e+06 18134.69 4332.758 0
## 4 1.09 0.2 0.125 4.536257 8e+06 24722.19 7827.191 0
## 5 1.09 0.2 0.125 9.421572 8e+06 17913.11 3936.113 0
## 6 1.09 0.2 0.125 5.409624 8e+06 25495.10 9904.451 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.2814612
## 2 17 22 0.9 0.2812833
## 3 17 22 0.9 0.2813773
## 4 17 22 0.9 0.2816628
## 5 17 22 0.9 0.2831911
## 6 17 22 0.9 0.2842662
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 2 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 3 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 4 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 5 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 6 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## G_w_y_scaling msg iter_num param_index loglik nfail trace_num
## 1 0.162 mif1 2 1 -0.7954440 NA NA
## 2 0.162 mif1 3 1 -0.8877775 NA NA
## 3 0.162 mif1 4 1 -0.6177721 NA NA
## 4 0.162 mif1 9 1 -0.9084578 NA NA
## 5 0.162 mif1 11 1 -0.7863457 NA NA
## 6 0.162 mif1 15 1 -1.1438794 NA NA
## loglist.se Antibody_Mean_LL Antibody_LL_SE Median_Herd_Immunity
## 1 0.007197377 -69.35197 0.03117124 0.08318750
## 2 0.005469438 -114.25269 0.06406994 0.05208694
## 3 0.008664239 -88.04981 0.04744650 0.06717275
## 4 0.009767994 -51.50620 0.02663235 0.10390925
## 5 0.008395310 -100.56133 0.06835040 0.05824056
## 6 0.008197142 -39.44024 0.01943998 0.12597463
## combo_num sim_subset_index
## 1 1 1
## 2 2 1
## 3 3 1
## 4 4 1
## 5 5 1
## 6 6 1top_2_LL_end_with_antibody_LL$duration_of_symp_1 = 1/top_2_LL_end_with_antibody_LL$phi_S
top_2_LL_end_with_antibody_LL$duration_of_symp_2 = 1/top_2_LL_end_with_antibody_LL$gamma
top_2_LL_end_with_antibody_LL = top_2_LL_end_with_antibody_LL %>%
mutate(duration_of_symp = duration_of_symp_1 + duration_of_symp_2)
top_2_LL_end_with_antibody_LL$gamma_total = 1/top_2_LL_end_with_antibody_LL$duration_of_symp
top_2_LL_end_with_antibody_LL = top_2_LL_end_with_antibody_LL %>%
mutate(Beta = R_0*gamma_total)
top_2_LL_end_with_antibody_LL = top_2_LL_end_with_antibody_LL%>%
mutate(R_0_P = (Beta*b_p)/phi_U,
R_0_A = (Beta*b_a *(1-p_S))/phi_S,
R_0_S_1 = (Beta*p_S)/phi_S,
R_0_S_2 = (Beta*(1-p_H_cond_S)*p_S)/gamma)
top_2_LL_end_with_antibody_LL = top_2_LL_end_with_antibody_LL %>%
mutate(R_0_NGM = R_0_P + R_0_A + R_0_S_1 + R_0_S_2)
p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = R_0_NGM)) +
geom_density() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/", model_name,
"_density_plot_of_R_0_NGM_for_all_parameter_combinations_within_2LL_of_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = R_0_NGM)) +
geom_histogram() +
rahul_man_figure_theme
p## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
png(file = paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/", model_name,
"_histogram_of_R_0_NGM_for_all_parameter_combinations_within_2LL_of_MLE_fit_to_cases.png"))
print(p)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = R_0_A,
y = R_0_S_1 + R_0_S_2)) +
geom_point() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/", model_name,
"_R_0_A_vs_R_0_S_for_all_parameter_combinations_within_2LL_of_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = R_0,
y = R_0_NGM,
color = b_a)) +
geom_point() +
scale_color_viridis_c() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/", model_name,
"_R_0_vs_R_0_NGM_for_all_parameter_combinations_within_2LL_of_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = R_0,
y = R_0_S_1 + R_0_S_2)) +
geom_point() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/", model_name,
"_R_0_vs_R_0_S_for_all_parameter_combinations_within_2LL_of_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = R_0_NGM,
y = Antibody_Mean_LL)) +
geom_point() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/", model_name,
"_R_0_NGM_vs_Likelihood_with_respect_to_antibody_for_all_parameter_combinations_within_2LL_of_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2head(top_2_LL_end_with_antibody_LL)## M_0 V_0 K_0 R_0 b_q b_a b_p p_S p_H_cond_S phi_E
## 1 5 13 14 5.040920 0.1199816 0.73827447 0 0.3773241 0.1767405 1.09
## 2 5 13 14 4.662393 0.1205942 0.68837081 0 0.5929974 0.1551997 1.09
## 3 5 13 14 5.579049 0.1183684 0.54631179 0 0.4603340 0.1669007 1.09
## 4 5 13 14 7.162057 0.1212649 0.44841826 0 0.2924341 0.1561453 1.09
## 5 5 13 14 7.141834 0.1235621 0.01397251 0 0.5145169 0.1537657 1.09
## 6 5 13 14 4.833856 0.1175417 0.95746195 0 0.2454977 0.1556645 1.09
## phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 1.09 0.2 0.125 17.394855 8e+06 22528.90 4862.690 0
## 2 1.09 0.2 0.125 4.818495 8e+06 14264.69 3496.775 0
## 3 1.09 0.2 0.125 4.596704 8e+06 18134.69 4332.758 0
## 4 1.09 0.2 0.125 4.536257 8e+06 24722.19 7827.191 0
## 5 1.09 0.2 0.125 9.421572 8e+06 17913.11 3936.113 0
## 6 1.09 0.2 0.125 5.409624 8e+06 25495.10 9904.451 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.2814612
## 2 17 22 0.9 0.2812833
## 3 17 22 0.9 0.2813773
## 4 17 22 0.9 0.2816628
## 5 17 22 0.9 0.2831911
## 6 17 22 0.9 0.2842662
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 2 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 3 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 4 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 5 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 6 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## G_w_y_scaling msg iter_num param_index loglik nfail trace_num
## 1 0.162 mif1 2 1 -0.7954440 NA NA
## 2 0.162 mif1 3 1 -0.8877775 NA NA
## 3 0.162 mif1 4 1 -0.6177721 NA NA
## 4 0.162 mif1 9 1 -0.9084578 NA NA
## 5 0.162 mif1 11 1 -0.7863457 NA NA
## 6 0.162 mif1 15 1 -1.1438794 NA NA
## loglist.se Antibody_Mean_LL Antibody_LL_SE Median_Herd_Immunity
## 1 0.007197377 -69.35197 0.03117124 0.08318750
## 2 0.005469438 -114.25269 0.06406994 0.05208694
## 3 0.008664239 -88.04981 0.04744650 0.06717275
## 4 0.009767994 -51.50620 0.02663235 0.10390925
## 5 0.008395310 -100.56133 0.06835040 0.05824056
## 6 0.008197142 -39.44024 0.01943998 0.12597463
## combo_num sim_subset_index duration_of_symp_1 duration_of_symp_2
## 1 1 1 5 0.05748826
## 2 2 1 5 0.20753368
## 3 3 1 5 0.21754717
## 4 4 1 5 0.22044605
## 5 5 1 5 0.10613940
## 6 6 1 5 0.18485575
## duration_of_symp gamma_total Beta R_0_P R_0_A R_0_S_1
## 1 5.057488 0.1977266 0.9967241 0 2.29099867 1.880440
## 2 5.207534 0.1920295 0.8953170 0 1.25419913 2.654603
## 3 5.217547 0.1916609 1.0692858 0 1.57626561 2.461143
## 4 5.220446 0.1915545 1.3719244 0 2.17645831 2.005987
## 5 5.106139 0.1958427 1.3986759 0 0.04743902 3.598212
## 6 5.184856 0.1928694 0.9323030 0 3.36751198 1.144391
## R_0_S_2 R_0_NGM
## 1 0.01779941 4.189238
## 2 0.09308340 4.001886
## 3 0.08921072 4.126619
## 4 0.07463254 4.257078
## 5 0.06463742 3.710288
## 6 0.03572338 4.547627p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = p_S,
y = Antibody_Mean_LL)) +
geom_point() + rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"p_S_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = p_S,
y = Median_Herd_Immunity)) +
geom_point() + rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"p_S_vs_herd_immunity_", model_name,
"_model_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = R_0,
y = Antibody_Mean_LL)) +
geom_point() + rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"R_0_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = R_0,
y = Median_Herd_Immunity)) +
geom_point() + rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"R_0_vs_herd_immunity_", model_name,
"_model_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = b_a,
y = Antibody_Mean_LL)) +
geom_point() + rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"b_a_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = b_a,
y = Median_Herd_Immunity)) +
geom_point() + rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"b_a_vs_herd_immunity_", model_name,
"_model_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_with_antibody_LL,
aes(x = Median_Herd_Immunity,
y = Antibody_Mean_LL)) +
geom_point() + rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"herd_immunity_vs_Antibody_Mean_LL_", model_name,
"_model_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2Isloate top 2LL of antibodyLL from top 2 LL of Model N_12 Initial Fit
antibody_top_2_LL_from_grid_cases_top_2_LL = top_2_LL_end_with_antibody_LL %>%
filter(Antibody_Mean_LL > max(Antibody_Mean_LL)-2)
nrow(antibody_top_2_LL_from_grid_cases_top_2_LL)## [1] 34p = ggplot(data = antibody_top_2_LL_from_grid_cases_top_2_LL,
aes(x = Median_Herd_Immunity,
y = Antibody_Mean_LL)) +
geom_point() + rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"herd_immunity_vs_Antibody_Mean_LL_", model_name,
"_model_top_2_antibody_LL_from_top_2_cases_and_antibody_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_grid_cases_top_2_LL,
aes(x = p_S,
y = Antibody_Mean_LL)) +
rahul_man_figure_theme + geom_point()
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"p_S_vs_antibody_LL_", model_name,
"_model_top_2_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_grid_cases_top_2_LL,
aes(x = p_S,
y = R_0)) +
rahul_man_figure_theme + geom_point()
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"p_S_vs_R_0_", model_name,
"_model_top_2_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_grid_cases_top_2_LL,
aes(x = b_a,
y = R_0)) +
rahul_man_figure_theme + geom_point()
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_a_vs_R_0_", model_name,
"_model_top_2_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_grid_cases_top_2_LL,
aes(x = R_0_NGM)) +
geom_histogram() +
rahul_man_figure_theme
p## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"R_0_NGM_histogram_", model_name,
"_model_top_2_antibody_LL_from_top_2_cases_LL.png"))
print(p)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_grid_cases_top_2_LL,
aes(x = R_0_A,
y = R_0_S_1 + R_0_S_2)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"R_0_A_vs_R_0_S_", model_name,
"_model_top_2_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_grid_cases_top_2_LL,
aes(x = R_0,
y = R_0_NGM,
color = b_a)) +
geom_point(size = 5) +
scale_color_viridis_c() +
rahul_man_figure_theme +
theme_white_background +
scale_x_continuous(breaks=c(seq(2,10,1), 15, 18)) +
scale_y_continuous(breaks=seq(2,5,1)) +
coord_cartesian(expand = FALSE, #turn off axis expansion (padding)
xlim = c(1.75, 9), ylim = c(1.75, 5.25)) #manually set limits
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"R_0_vs_R_0_NGM_", model_name,
"_model_top_2_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2png(paste0("../Figures/Profiles/", model_name, "_Model/Sup_Figs/",
"R_0_vs_R_0_NGM_", model_name,
"_model_top_2_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_grid_cases_top_2_LL,
aes(x = R_0,
y = R_0_S_1+ R_0_S_2)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"R_0_vs_R_0_S_", model_name,
"_model_top_2_antibody_LL_from_top_2_cases_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2–>
R over N for top parameter combinations within 2LL when fit to antibody and case data
params_with_data = join(top_2_LL_all_combo_R_data,
top_2_LL_end_with_antibody_LL)## Joining by: combo_num, sim_subset_indexparams_with_data = join(params_with_data,
top_2_LL_all_combo_S_data)## Joining by: time, combo_num, sim_subset_indexparams_with_data = join(params_with_data,
top_2_LL_all_combo_C_Q1_data)## Joining by: time, combo_num, sim_subset_indexparams_with_data = join(params_with_data,
top_2_LL_all_combo_data)## Joining by: time, combo_num, sim_subset_indexantibody_top_2_LL_params_and_sim_data = params_with_data %>%
filter(Antibody_Mean_LL > max(Antibody_Mean_LL)-2)
#head(params_with_data)
all_combo_data_high_Q_max = aggregate(sim_data_R_over_N_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_R_over_N_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_R_over_N_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_R_over_N_low_Q)
all_combo_data_median_max = aggregate(sim_data_R_over_N_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_R_over_N_median)
all_combo_data_median_min = aggregate(sim_data_R_over_N_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_R_over_N_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_R_over_N_median,
ML_high_Q = sim_data_R_over_N_high_Q,
ML_low_Q = sim_data_R_over_N_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: timecomp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_max)## Joining by: timecomp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
ML_Q_Rib_Col_lab = "95% Simulation Quantiles \n (MLE for antibody data)"
All_combo_Med_Rib_Col_lab = "Simulation Median \n (all 2 LL combinations (for antibody data))"
All_combo_Q_Rib_Col_lab = "95% Simulation Quantiles \n (all 2 LL combinations (for antibody data))"
comp_data_melt$ML_Q_Rib_Col = ML_Q_Rib_Col_lab
comp_data_melt$All_combo_Med_Rib_Col = All_combo_Med_Rib_Col_lab
comp_data_melt$All_combo_Q_Rib_Col = All_combo_Q_Rib_Col_lab
fill_vec = c("pink", "skyblue", "grey70")
names(fill_vec) = c(All_combo_Med_Rib_Col_lab, ML_Q_Rib_Col_lab, All_combo_Q_Rib_Col_lab)
p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_median_min,
ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = ML_low_Q,
ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red"),
labels =
c("Simulation Median \n (MLE)")) +
xlab("Days since March 1 2020")+
ylab(expression(paste(frac(R,N)))) +
geom_ribbon(data = nyc_antibody_df,aes(x = times, ymin = lower_CI,
ymax = upper_CI),
fill = 'blue',
alpha = 0.5) +
geom_point(data = nyc_antibody_df,
aes(x = times, y = Prop_Positive), color = 'blue') +
geom_line(data = nyc_antibody_df,
aes(x = times, y = Prop_Positive), color = 'blue')
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/Observed_Antibody_data_vs_Ribbon_Plot_R_over_N_over_time_simulation_from_all_params_2_LL_antibody_from_antibody_MLE_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2C_Q1
all_combo_data_high_Q_max = aggregate(sim_data_C_Q1_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_C_Q1_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_C_Q1_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_C_Q1_low_Q)
all_combo_data_median_max = aggregate(sim_data_C_Q1_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_C_Q1_median)
all_combo_data_median_min = aggregate(sim_data_C_Q1_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_C_Q1_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_C_Q1_median,
ML_high_Q = sim_data_C_Q1_high_Q,
ML_low_Q = sim_data_C_Q1_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: timecomp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_max)## Joining by: timecomp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
ML_Q_Rib_Col_lab = "95% Simulation Quantiles \n (MLE)"
All_combo_Med_Rib_Col_lab = "Simulation Median \n (all 2 LL combinations)"
All_combo_Q_Rib_Col_lab = "95% Simulation Quantiles \n (all 2 LL combinations)"
comp_data_melt$ML_Q_Rib_Col = ML_Q_Rib_Col_lab
comp_data_melt$All_combo_Med_Rib_Col = All_combo_Med_Rib_Col_lab
comp_data_melt$All_combo_Q_Rib_Col = All_combo_Q_Rib_Col_lab
fill_vec = c("pink", "skyblue", "grey70")
names(fill_vec) = c(All_combo_Med_Rib_Col_lab, ML_Q_Rib_Col_lab, All_combo_Q_Rib_Col_lab)
hosp_comp_df = read.csv("../Generated_Data/hosp_comp_df.csv")
obs_hosp_df = hosp_comp_df %>%
filter(variable == "HOSPITALIZED_COUNT") %>%
dplyr::select(-Date, -Day_of_Week, time = times)
p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_median_min,
ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = ML_low_Q,
ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red"),
labels =
c("Simulation Median \n (MLE)")) +
xlab("Days since March 1 2020")+
ylab(expression(paste(C_Q1))) +
geom_point(data = obs_hosp_df, aes(x = time, y = value), color = 'blue') +
geom_line(data = obs_hosp_df, aes(x = time, y = value), color = 'blue')
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/Obs_COVID_hosp_cases_vs_Ribbon_Plot_C_Q1_over_time_simulation_from_all_params_2_LL_antibody_from_antibody_MLE_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2Compare to observed data
#all_combo_melt_data = melt(all_combo_data, id.vars = c("time", "combo_num"))
all_combo_data_high_Q_max = aggregate(sim_data_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_low_Q)
all_combo_data_median_max = aggregate(sim_data_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_median)
all_combo_data_median_min = aggregate(sim_data_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_median,
ML_high_Q = sim_data_high_Q,
ML_low_Q = sim_data_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_median_min)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_median_max)## Joining by: time## Joining by: time
true_data = dplyr::select(Observed_data, time = times,
Observed_Data = Y)
comp_data = join(comp_data, true_data)## Joining by: time## Joining by: time
comp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
comp_data_melt$ML_Q_Rib_Col = "95% Simulation Quantiles \n (MLE)"
comp_data_melt$All_combo_Med_Rib_Col = "Simulation Median \n (all 2 LL combinations)"
comp_data_melt$All_combo_Q_Rib_Col = "95% Simulation Quantiles \n (all 2 LL combinations)"
fill_vec = c("Simulation Median \n (all 2 LL combinations)" = "pink", "95% Simulation Quantiles \n (MLE)" = "skyblue", "95% Simulation Quantiles \n (all 2 LL combinations)" = "grey70")
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = ML_low_Q,
ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = all_combo_median_min,
ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red","blue"),
labels =
c("Simulation Median \n (MLE)",
"Observed",
"Data Used For Fitting")) +
xlab("Days since March 1 2020")+
ylab("Observed Monthly Cases")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_all_params_2_LL_antibody_from_antibody_MLE_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = log(all_combo_low_Q_min),
ymax = log(all_combo_high_Q_max), fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = log(ML_low_Q),
ymax = log(ML_high_Q), fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = log(all_combo_median_min),
ymax = log(all_combo_median_max), fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_line(aes(x = time, y = log(value), color = variable)) +
geom_point(aes(x = time, y = log(value), color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red","blue"),
labels =
c("Simulation Median \n (MLE)",
"Observed",
"Data Used For Fitting")) +
xlab("Days since March 1 2020")+
ylab("Observed Monthly Cases")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/log_Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_all_params_2_LL_antibody_from_antibody_MLE_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2Write MLE
head(MLE)## M_0 V_0 K_0 R_0 b_q b_a b_p p_S p_H_cond_S phi_E
## 1 5 13 14 4.426536 0.1212218 0.9829669 0 0.2869619 0.1939382 1.09
## phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 1.09 0.2 0.125 9.638642 8e+06 30583.41 5323.79 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.279458
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## G_w_y_scaling msg iter_num param_index loglik nfail trace_num
## 1 0.162 mif1 8 467 -629.0533 NA NA
## loglist.se
## 1 0.006053676head(ML_params)## M_0 V_0 K_0 R_0 b_q b_a b_p p_S p_H_cond_S phi_E
## 1 5 13 14 4.426536 0.1212218 0.9829669 0 0.2869619 0.1939382 1.09
## phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 1.09 0.2 0.125 9.638642 8e+06 30583.41 5323.79 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.279458
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## G_w_y_scaling
## 1 0.162write.csv(ML_params,
file = "../Generated_Data/Profiles/N_12_Model/Grid_Search_MIF_run_1/ML_param_combination.csv", row.names = FALSE)
write.csv(MLE,
file = "../Generated_Data/Profiles/N_12_Model/Grid_Search_MIF_run_1/MLE_param_combination_with_LL.csv", row.names = FALSE)Get param grid box for profiles
#head(top_20_LL_end_params)
top_20_LL_box = top_20_LL_end_params %>%
filter(loglist.se < 2) %>%
sapply(range)
write.csv(top_20_LL_box, file = "../Generated_Data/Profile_Combination_Lists/N_12_Model/orignal_20_LL_param_box_from_1st_MIF_run.csv",
row.names = FALSE)Combine output from profiles
# ---- combine_profile_output ----
# Header ------------------------------------------------------------------
## Name: combine_profile_output.R
## Author: Rahul Subramanian
## Description: Combine MIF real profile output data into one big data frame
combine_profile_output = function(profile_var, model_name){
ptm = proc.time()
#profile_var = "I_S_0"
#args = commandArgs(trailingOnly=TRUE)
#profile_var = as.character(args[1])
print(profile_var)
###Load parameter list
pd = read.csv(file = paste0("../Generated_Data/Profile_Combination_Lists/",
model_name,"_Model/",profile_var,"_",
model_name,
"_profile_combination_list.csv"),
header = TRUE)
#head(pd)
mif_sim_combined_output_df = data.frame(
matrix(nrow = 0, ncol = ncol(pd) + 7)
)
colnames(mif_sim_combined_output_df) = c(colnames(pd), "LL")
colnames(mif_sim_combined_output_df) = c(colnames(pd),"msg", "iter_num", "param_index", "loglik", "nfail", "trace_num", "loglist.se")
midway_max_jobs = 500
for(param_index in seq(1:midway_max_jobs)){
#print(param_index)
input_file_name = paste0("../Generated_Data/Profiles/", model_name,
"_Model/",profile_var,"_Profile/Subset_Outputs/",profile_var,
"_", model_name,
"_Profile_subset_",param_index,".RData")
if(file.exists(input_file_name) == TRUE){
load(file = input_file_name)
mif_output_df_single_subset = res
}else{
group_size = nrow(pd)/midway_max_jobs
start_index = (param_index-1)*group_size + 1
end_index = param_index*group_size
Num_mif_runs_per_start = 1
param_data_subset_act = pd[start_index:end_index,]
param_data_subset = param_data_subset_act[rep(seq_len(nrow(param_data_subset_act)), each = Num_mif_runs_per_start),]
#param_data_subset$seed = NA;
param_data_subset$msg = NA
param_data_subset$iter_num = NA
param_data_subset$param_index = NA
param_data_subset$nfail = NA
param_data_subset$trace_num = NA
param_data_subset$loglik = NA
param_data_subset$loglist.se = NA
mif_output_df_single_subset = param_data_subset
}
#head(mif_output_df_single_subset)
mif_sim_combined_output_df = rbind(mif_sim_combined_output_df, mif_output_df_single_subset)
}
output_file_name = paste0("../Generated_Data/Profiles/", model_name,"_Model/", profile_var, "_Profile/",
profile_var, "_", model_name, "_profile_combined_data_including_traces_and_start.RData")
save(mif_sim_combined_output_df, file = output_file_name)
profile_data_no_traces_or_start = filter(mif_sim_combined_output_df,
msg == "mif1")
output_file_name = paste0("../Generated_Data/Profiles/", model_name,"_Model/", profile_var, "_Profile/",
profile_var, "_", model_name, "_profile_combined_data.csv")
write.csv(profile_data_no_traces_or_start, file = output_file_name, row.names=FALSE,na="")
}
combine_profile_output(profile_var = "G_w_y_scaling", model_name = model_name)## [1] "G_w_y_scaling"# combine_profile_output(profile_var = "z_0", model_name = model_name)
# combine_profile_output(profile_var = "E_0", model_name = model_name)
# combine_profile_output(profile_var = "R_0", model_name = model_name)
combine_profile_output(profile_var = "b_a", model_name = model_name)## [1] "b_a"# combine_profile_output(profile_var = "b_e", model_name = model_name)
# combine_profile_output(profile_var = "b_q", model_name = model_name)
# combine_profile_output(profile_var = "p_S", model_name = model_name)
# combine_profile_output(profile_var = "p_H_cond_S", model_name = model_name)
# combine_profile_output(profile_var = "gamma", model_name = model_name)
# combine_profile_output(profile_var = "sigma_M", model_name = model_name)Plot profiles
For each profile, three plots are generated. The first plot(“all_clean_data_points”) shows the likelihoods of every MIF run conducted for that profile. The second plot is the actual plot of the profile. For the second plot, only the maximum likelihood of each profiled parameter value is shown on the plot. The third plot is a “zoom-in” of the region near the MLE, only showing combinations within 20 log-likelihood units of the MLE. On all three plots, red horizontal lines denote likelihood values 20 log-likelihood units below the profile MLE, while blue horizontal lines denote likelihood values 2 log-likelihood units below the MLE.
Plotting function
plot_profiles = function(profile_var, model_name){
#Load results
profile_data = read.csv(file = paste0("../Generated_Data/Profiles/", model_name, "_Model/", profile_var, "_Profile/",
profile_var, "_", model_name, "_profile_combined_data.csv"))
#head(profile_data)
na_data = filter(profile_data, is.na(loglik) == TRUE)
print(paste("There are ", nrow(na_data), " entries with NA likelihoods"))
profile_data_clean = filter(profile_data, is.na(loglik) == FALSE)
ML = max(profile_data_clean$loglik)
cutoff_thres_20_LL_from_ML = ML - 20
p = ggplot(data = profile_data_clean, aes_string(x = eval(profile_var), y = "loglik")) + geom_point() + geom_hline(yintercept = cutoff_thres_20_LL_from_ML,
color = 'red')+
rahul_theme
print(p)
png(paste0("../Figures/Profiles/", model_name, "_Model/", profile_var, "_Profile/all_clean_data_points_",
profile_var,"_", model_name, "_profile.png"))
print(p)
dev.off()
cutoff_thres_2_LL_from_ML = ML - 2
### Take trace of profile (max at each value of profile variable)
profile_var_profile = aggregate(formula(paste0("loglik ~ ",eval(profile_var))), profile_data_clean, max)
#head(profile_var_profile)
p = ggplot(data = profile_var_profile, aes_string(x = eval(profile_var), y = "loglik")) +
geom_point(size = 3) + geom_hline(yintercept = cutoff_thres_20_LL_from_ML, color = 'red') + rahul_theme
print(p)
png(paste0("../Figures/Profiles/", model_name, "_Model/", profile_var, "_Profile/full_",
profile_var, "_", model_name, "_profile.png"))
print(p)
dev.off()
top_20_LL_units = filter(profile_var_profile, loglik > cutoff_thres_20_LL_from_ML)
p = ggplot(data = top_20_LL_units, aes_string(x = eval(profile_var), y = "loglik")) +
geom_point() + geom_hline(yintercept = cutoff_thres_2_LL_from_ML,color = 'blue') +
rahul_theme + theme_white_background +
ylab("Log Likelihood")
if(profile_var == "G_w_y_scaling"){
p = p + xlab("s")
}
print(p)
png(paste0("../Figures/Profiles/", model_name, "_Model/", profile_var, "_Profile/20_LL_from_ML_",
profile_var, "_", model_name, "_profile.png"))
print(p)
dev.off()
}\(b_a\) Profile
plot_profiles(profile_var = "b_a", model_name = model_name)## [1] "There are 0 entries with NA likelihoods"
## quartz_off_screen
## 2\(G_w_y_scaling\) Profile
plot_profiles(profile_var = "G_w_y_scaling", model_name = model_name)## [1] "There are 0 entries with NA likelihoods"
## quartz_off_screen
## 2{r} # plot_profiles(profile_var = "R_0", model_name = model_name) #
{r} # plot_profiles(profile_var = "E_0", model_name = model_name) #
profile_var = "G_w_y_scaling"
profile_data= read.csv(file = paste0("../Generated_Data/Profiles/", model_name, "_Model/", profile_var, "_Profile/",
profile_var, "_", model_name, "_profile_combined_data.csv"))
profile_peak_data_G_w_y_scaling = profile_data %>%
filter(loglik > max(loglik)-2)
range(profile_peak_data_G_w_y_scaling$R_0)## [1] 4.708381 11.298709save(profile_peak_data_G_w_y_scaling, file = paste0("../Generated_Data/Profiles/",
model_name,
"_Model/G_w_y_scaling_Profile/top_2_LL_of_G_w_y_scaling_profile.RData"))
profile_peak_data_5LL = profile_data %>%
filter(loglik > max(loglik)-5)
range(profile_peak_data_5LL$R_0)## [1] 3.685955 22.641192profile_var = "b_a"
profile_data= read.csv(file = paste0("../Generated_Data/Profiles/", model_name, "_Model/", profile_var, "_Profile/",
profile_var, "_", model_name, "_profile_combined_data.csv"))
profile_peak_data_b_a = profile_data %>%
filter(loglik > max(loglik)-2)
range(profile_peak_data_b_a$R_0)## [1] 2.876945 18.378599save(profile_peak_data_b_a, file = paste0("../Generated_Data/Profiles/",
model_name,
"_Model/b_a_Profile/top_2_LL_of_b_a_profile.RData"))
profile_peak_data = profile_data %>%
filter(loglik > max(loglik)-5)
range(profile_peak_data$R_0)## [1] 2.876945 21.734214p = ggplot(data = profile_peak_data,
aes(x = G_w_y_scaling,
y = R_0)) +
geom_point() +
rahul_theme
p
p = ggplot(data = profile_peak_data,
aes(x = G_w_y_scaling,
y = p_S)) +
geom_point() +
rahul_theme
p
p = ggplot(data = profile_peak_data,
aes(x = b_a,
y = b_p,
color = p_S < .15)) +
geom_point() +
rahul_theme
p
p = ggplot(data = profile_peak_data,
aes(x = b_a,
y = p_S)) +
geom_point() +
rahul_theme
p
p = ggplot(data = profile_peak_data,
aes(x = R_0,
y = p_S)) +
geom_point() +
rahul_theme
p
p = ggplot(data = profile_peak_data,
aes(x = p_S,
y = log(R_0))) +
geom_point() + geom_hline(yintercept = log(3), color = 'orange') +
geom_hline(yintercept = log(4), color = 'purple') +
rahul_theme
p
range(profile_peak_data$p_S)## [1] 0.09939145 0.70221737png("../Figures/Profiles/N_12_Model/b_a_Profile/p_S_vs_log_R_0_b_a_Profile_data.png")
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = profile_peak_data,
aes(x = b_a,
y = log(R_0))) +
geom_point() + geom_hline(yintercept = log(3), color = 'orange') +
geom_hline(yintercept = log(4), color = 'purple') +
rahul_theme
p
png("../Figures/Profiles/N_12_Model/b_a_Profile/b_a_vs_log_R_0_b_a_Profile_data.png")
print(p)
dev.off()## quartz_off_screen
## 2small_R_0_profile_peak_params = profile_peak_data %>%
filter(R_0 <= 3)
range(small_R_0_profile_peak_params$p_S)## [1] 0.1567483 0.6246020Plot Antibody LL for Profile Peaks
b_a profile peak
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## [1] 97R over N for top parameter combinations within 2LL when fit to antibody and case data (b_a Profile)
params_with_data = join(all_combo_R_data,
top_2_LL_end_subset_with_antibody_LL)## Joining by: combo_num, sim_subset_indexparams_with_data = join(params_with_data,
all_combo_S_data)## Joining by: time, combo_num, sim_subset_indexparams_with_data = join(params_with_data,
all_combo_C_Q1_data)## Joining by: time, combo_num, sim_subset_indexparams_with_data = join(params_with_data,
all_combo_data)## Joining by: time, combo_num, sim_subset_indexantibody_top_2_LL_params_and_sim_data = params_with_data %>%
filter(Antibody_Mean_LL > max(Antibody_Mean_LL)-2)
#head(params_with_data)
all_combo_data_high_Q_max = aggregate(sim_data_R_over_N_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_R_over_N_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_R_over_N_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_R_over_N_low_Q)
all_combo_data_median_max = aggregate(sim_data_R_over_N_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_R_over_N_median)
all_combo_data_median_min = aggregate(sim_data_R_over_N_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_R_over_N_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_R_over_N_median,
ML_high_Q = sim_data_R_over_N_high_Q,
ML_low_Q = sim_data_R_over_N_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: timecomp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_max)## Joining by: timenyc_antibody_df = nyc_antibody_df %>%
filter(time > 0)
comp_data = comp_data %>%
filter(time <= max(nyc_antibody_df$time)) %>%
filter(time >= min(nyc_antibody_df$time))
comp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
ML_Q_Rib_Col_lab = "95% Simulation Quantiles \n (MLE for antibody data)"
All_combo_Med_Rib_Col_lab = "Simulation Median \n (all 2 LL combinations (for antibody data))"
All_combo_Q_Rib_Col_lab = "95% Simulation Quantiles \n (all 2 LL combinations (for antibody data))"
comp_data_melt$ML_Q_Rib_Col = ML_Q_Rib_Col_lab
comp_data_melt$All_combo_Med_Rib_Col = All_combo_Med_Rib_Col_lab
comp_data_melt$All_combo_Q_Rib_Col = All_combo_Q_Rib_Col_lab
fill_vec = c("pink", "skyblue", "red")
names(fill_vec) = c(All_combo_Med_Rib_Col_lab, ML_Q_Rib_Col_lab, All_combo_Q_Rib_Col_lab)
p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col,
alpha = 0.5), inherit.aes = FALSE) +
# geom_ribbon(data = comp_data_melt,
# aes(x = time, ymin = all_combo_median_min,
# ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
# geom_ribbon(data = comp_data_melt,
# aes(x = time, ymin = ML_low_Q,
# ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red"),
labels =
c("Simulation Median \n (MLE)")) +
xlab("Days since March 1 2020")+
ylab(expression(paste(frac(R,N)))) +
geom_ribbon(data = nyc_antibody_df,aes(x = times, ymin = lower_CI,
ymax = upper_CI),
fill = 'blue',
alpha = 0.5) +
geom_point(data = nyc_antibody_df,
aes(x = times, y = Prop_Positive), color = 'blue') +
geom_line(data = nyc_antibody_df,
aes(x = times, y = Prop_Positive), color = 'blue') +
theme(legend.position = "None") +
theme(axis.title.x = element_text(face = "plain", size = 24),
axis.title.y = element_text(face = "plain", size = 24)) +
theme(axis.line = element_line(colour = 'black', size = 1))+
theme(axis.ticks = element_line(colour = "black", size = 1.5)) +
theme(axis.text.x = element_text(size=21)) +
theme(axis.text.y = element_text(size=21))
# xlab("")+
# ylab("")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/b_a_profile_Observed_Antibody_data_vs_Ribbon_Plot_R_over_N_over_time_simulation_from_b_a_profile__2_LL_antibody_from_antibody_b_a_profile_peak_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2png(paste0("../Figures/Profiles/", model_name,
"_Model/Man_Figs/b_a_profile_Observed_Antibody_data_vs_Ribbon_Plot_R_over_N_over_time_simulation_from_b_a_profile__2_LL_antibody_from_antibody_b_a_profile_peak_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2pdf(paste0("../Figures/Profiles/", model_name,
"_Model/Man_Figs/b_a_profile_Observed_Antibody_data_vs_Ribbon_Plot_R_over_N_over_time_simulation_from_b_a_profile__2_LL_antibody_from_antibody_b_a_profile_peak_params.pdf"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col,
alpha = 0.5), inherit.aes = FALSE) +
# geom_ribbon(data = comp_data_melt,
# aes(x = time, ymin = all_combo_median_min,
# ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
# geom_ribbon(data = comp_data_melt,
# aes(x = time, ymin = ML_low_Q,
# ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red"),
labels =
c("Simulation Median \n (MLE)")) +
xlab("Days since March 1 2020")+
ylab(expression(paste(frac(R,N)))) +
geom_ribbon(data = nyc_antibody_df,aes(x = times, ymin = lower_CI,
ymax = upper_CI),
fill = 'blue',
alpha = 0.5) +
geom_point(data = nyc_antibody_df,
aes(x = times, y = Prop_Positive), color = 'blue') +
geom_line(data = nyc_antibody_df,
aes(x = times, y = Prop_Positive), color = 'blue') +
theme(legend.position = "None") +
theme(axis.title.x = element_text(face = "plain"),
axis.title.y = element_text(face = "plain")) +
xlab("")+
ylab("") +
theme(axis.line = element_line(colour = 'black', size = 1))+
theme(axis.ticks = element_line(colour = "black", size = 1.5))
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/Man_Figs/b_a_profile_Observed_Antibody_data_vs_Ribbon_Plot_R_over_N_over_time_simulation_from_b_a_profile__2_LL_antibody_from_antibody_b_a_profile_peak_params_no_labs.png"))
print(p)
dev.off()## quartz_off_screen
## 2C_Q1 (b_a Profile)
Top 2LL via cases data
all_combo_data_high_Q_max = aggregate(sim_data_C_Q1_high_Q ~ time, params_with_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_C_Q1_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_C_Q1_low_Q ~ time, params_with_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_C_Q1_low_Q)
all_combo_data_median_max = aggregate(sim_data_C_Q1_median ~ time, params_with_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_C_Q1_median)
all_combo_data_median_min = aggregate(sim_data_C_Q1_median ~ time, params_with_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_C_Q1_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_C_Q1_median,
ML_high_Q = sim_data_C_Q1_high_Q,
ML_low_Q = sim_data_C_Q1_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: timecomp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_max)## Joining by: timecomp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
ML_Q_Rib_Col_lab = "95% Simulation Quantiles \n (MLE)"
All_combo_Med_Rib_Col_lab = "Simulation Median \n (all 2 LL combinations)"
All_combo_Q_Rib_Col_lab = "95% Simulation Quantiles \n (all 2 LL combinations)"
comp_data_melt$ML_Q_Rib_Col = ML_Q_Rib_Col_lab
comp_data_melt$All_combo_Med_Rib_Col = All_combo_Med_Rib_Col_lab
comp_data_melt$All_combo_Q_Rib_Col = All_combo_Q_Rib_Col_lab
fill_vec = c("pink", "skyblue", "grey70")
names(fill_vec) = c(All_combo_Med_Rib_Col_lab, ML_Q_Rib_Col_lab, All_combo_Q_Rib_Col_lab)
hosp_comp_df = read.csv("../Generated_Data/hosp_comp_df.csv")
obs_hosp_df = hosp_comp_df %>%
filter(variable == "HOSPITALIZED_COUNT") %>%
dplyr::select(-Date, -Day_of_Week, time = times)
p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_median_min,
ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = ML_low_Q,
ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red"),
labels =
c("Simulation Median \n (MLE)")) +
xlab("Days since March 1 2020")+
ylab(expression(paste(C_Q1))) +
geom_point(data = obs_hosp_df, aes(x = time, y = value), color = 'blue') +
geom_line(data = obs_hosp_df, aes(x = time, y = value), color = 'blue')
p
### Only top 2LL params via antibody LL
all_combo_data_high_Q_max = aggregate(sim_data_C_Q1_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_C_Q1_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_C_Q1_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_C_Q1_low_Q)
all_combo_data_median_max = aggregate(sim_data_C_Q1_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_C_Q1_median)
all_combo_data_median_min = aggregate(sim_data_C_Q1_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_C_Q1_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_C_Q1_median,
ML_high_Q = sim_data_C_Q1_high_Q,
ML_low_Q = sim_data_C_Q1_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: timecomp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_max)## Joining by: timecomp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
ML_Q_Rib_Col_lab = "95% Simulation Quantiles \n (MLE)"
All_combo_Med_Rib_Col_lab = "Simulation Median \n (all 2 LL combinations)"
All_combo_Q_Rib_Col_lab = "95% Simulation Quantiles \n (all 2 LL combinations)"
comp_data_melt$ML_Q_Rib_Col = ML_Q_Rib_Col_lab
comp_data_melt$All_combo_Med_Rib_Col = All_combo_Med_Rib_Col_lab
comp_data_melt$All_combo_Q_Rib_Col = All_combo_Q_Rib_Col_lab
fill_vec = c("pink", "skyblue", "red")
names(fill_vec) = c(All_combo_Med_Rib_Col_lab, ML_Q_Rib_Col_lab, All_combo_Q_Rib_Col_lab)
hosp_comp_df = read.csv("../Generated_Data/hosp_comp_df.csv")
obs_hosp_df = hosp_comp_df %>%
filter(variable == "HOSPITALIZED_COUNT") %>%
dplyr::select(-Date, -Day_of_Week, time = times)
obs_resp_df = hosp_comp_df %>%
filter(variable == "Count") %>%
dplyr::select(-Date, -Day_of_Week, time = times)
obs_resp_likely_COVID_df = hosp_comp_df %>%
filter(variable == "daily_est_COVID_resp") %>%
dplyr::select(-Date, -Day_of_Week, time = times)
p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col,
alpha = 0.5), inherit.aes = FALSE) +
# geom_ribbon(data = comp_data_melt,
# aes(x = time, ymin = all_combo_median_min,
# ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
# geom_ribbon(data = comp_data_melt,
# aes(x = time, ymin = ML_low_Q,
# ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red"),
labels =
c("Simulation Median \n (MLE)")) +
xlab("Days since March 1 2020")+
ylab(expression(paste("Daily new hospitalized cases (", C[Q1], ")"))) +
geom_point(data = obs_hosp_df, aes(x = time, y = value), color = 'blue', shape = 'square') +
geom_line(data = obs_hosp_df, aes(x = time, y = value), color = 'blue', linetype = "dashed") +
geom_point(data = obs_resp_df, aes(x = time, y = value), color = 'orange',
shape = 'triangle') +
geom_line(data = obs_resp_df, aes(x = time, y = value), color = 'orange',
linetype = "dotdash") +
geom_point(data = obs_resp_likely_COVID_df, aes(x = time, y = value), color = 'magenta',
shape = 'triangle') +
geom_line(data = obs_resp_likely_COVID_df, aes(x = time, y = value), color = 'magenta',
linetype = "dotdash") +
theme(legend.position = "None") +
theme(axis.title.x = element_text(face = "plain"),
axis.title.y = element_text(face = "plain"))
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/b_a_profile_Obs_COVID_hosp_cases_vs_Ribbon_Plot_C_Q1_over_time_simulation_from_b_a_profile__2_LL_antibody_from_antibody_b_a_profile_peak_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col,
alpha = 0.5), inherit.aes = FALSE) +
# geom_ribbon(data = comp_data_melt,
# aes(x = time, ymin = all_combo_median_min,
# ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
# geom_ribbon(data = comp_data_melt,
# aes(x = time, ymin = ML_low_Q,
# ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red"),
labels =
c("Simulation Median \n (MLE)")) +
xlab("Days since March 1 2020")+
ylab(expression(paste("Daily new hospitalized cases "))) +
geom_point(data = obs_hosp_df, aes(x = time, y = value), color = 'blue') +
geom_line(data = obs_hosp_df, aes(x = time, y = value), color = 'blue') +
geom_point(data = obs_resp_df, aes(x = time, y = value), color = 'orange') +
geom_line(data = obs_resp_df, aes(x = time, y = value), color = 'orange') +
geom_point(data = obs_resp_likely_COVID_df, aes(x = time, y = value), color = 'magenta') +
geom_line(data = obs_resp_likely_COVID_df, aes(x = time, y = value), color = 'magenta') +
theme(legend.position = "None") +
theme(axis.title.x = element_text(face = "plain"),
axis.title.y = element_text(face = "plain"))
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/Man_Figs/Figure_5.png"))
print(p)
dev.off()## quartz_off_screen
## 2pdf(paste0("../Figures/Profiles/", model_name,
"_Model/Man_Figs/Figure_5.pdf"))
print(p)
dev.off()## quartz_off_screen
## 2png(paste0("../Figures/Profiles/", model_name,
"_Model/Sup_Figs/b_a_profile_Obs_COVID_hosp_cases_vs_Ribbon_Plot_C_Q1_over_time_simulation_from_b_a_profile__2_LL_antibody_from_antibody_b_a_profile_peak_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2Compare to observed data (b_a Profile)
Only top 2LL params via case LL (b_a Profile)
#all_combo_melt_data = melt(all_combo_data, id.vars = c("time", "combo_num"))
all_combo_data_high_Q_max = aggregate(sim_data_high_Q ~ time, params_with_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_low_Q ~ time, params_with_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_low_Q)
all_combo_data_median_max = aggregate(sim_data_median ~ time, params_with_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_median)
all_combo_data_median_min = aggregate(sim_data_median ~ time, params_with_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_median,
ML_high_Q = sim_data_high_Q,
ML_low_Q = sim_data_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_median_min)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_median_max)## Joining by: time## Joining by: time
true_data = dplyr::select(Observed_data, time = times,
Observed_Data = Y)
comp_data = join(comp_data, true_data)## Joining by: time## Joining by: time
comp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
comp_data_melt$ML_Q_Rib_Col = "95% Simulation Quantiles \n (MLE)"
comp_data_melt$All_combo_Med_Rib_Col = "Simulation Median \n (all 2 LL combinations)"
comp_data_melt$All_combo_Q_Rib_Col = "95% Simulation Quantiles \n (all 2 LL combinations)"
fill_vec = c("Simulation Median \n (all 2 LL combinations)" = "pink", "95% Simulation Quantiles \n (MLE)" = "skyblue", "95% Simulation Quantiles \n (all 2 LL combinations)" = "red")
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col,
alpha = 0.5), inherit.aes = FALSE) +
# geom_ribbon(aes(x = time, ymin = ML_low_Q,
# ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
# geom_ribbon(aes(x = time, ymin = all_combo_median_min,
# ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red","blue"),
labels =
c("Simulation Median \n (MLE)",
"Observed",
"Data Used For Fitting")) +
xlab("Days since March 1 2020")+
ylab("Observed Monthly Cases") +
theme(legend.position = "None") +
theme(axis.title.x = element_text(face = "plain", size = 24),
axis.title.y = element_text(face = "plain", size = 24)) +
theme(axis.line = element_line(colour = 'black', size = 1))+
theme(axis.ticks = element_line(colour = "black", size = 1.5))+
theme(axis.text.x = element_text(size=21)) +
theme(axis.text.y = element_text(size=21))
# xlab("")+
# ylab("")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/b_a_profile_Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_b_a_profile_2_LL_via_case_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2png(paste0("../Figures/Profiles/", model_name,
"_Model/Man_Figs/b_a_profile_Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_b_a_profile_2_LL_via_case_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2pdf(paste0("../Figures/Profiles/", model_name,
"_Model/Man_Figs/b_a_profile_Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_b_a_profile_2_LL_via_case_LL.pdf"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col,
alpha = 0.5), inherit.aes = FALSE) +
# geom_ribbon(aes(x = time, ymin = ML_low_Q,
# ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
# geom_ribbon(aes(x = time, ymin = all_combo_median_min,
# ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red","blue"),
labels =
c("Simulation Median \n (MLE)",
"Observed",
"Data Used For Fitting")) +
xlab("Days since March 1 2020")+
ylab("Observed Monthly Cases") +
theme(legend.position = "None") +
theme(axis.title.x = element_text(face = "plain"),
axis.title.y = element_text(face = "plain")) +
xlab("")+
ylab("") +
theme(axis.title.x = element_text(face = "plain", size = 24),
axis.title.y = element_text(face = "plain", size = 24)) +
theme(axis.line = element_line(colour = 'black', size = 1))+
theme(axis.ticks = element_line(colour = "black", size = 1.5))+
theme(axis.text.x = element_text(size=21)) +
theme(axis.text.y = element_text(size=21))
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/Man_Figs/b_a_profile_Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_b_a_profile_2_LL_via_case_LL_no_labs.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = log(all_combo_low_Q_min),
ymax = log(all_combo_high_Q_max), fill = All_combo_Q_Rib_Col, alpha = 0.5), inherit.aes = FALSE) +
# geom_ribbon(aes(x = time, ymin = log(ML_low_Q),
# ymax = log(ML_high_Q), fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
# geom_ribbon(aes(x = time, ymin = log(all_combo_median_min),
# ymax = log(all_combo_median_max), fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_line(aes(x = time, y = log(value), color = variable)) +
geom_point(aes(x = time, y = log(value), color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red","blue"),
labels =
c("Simulation Median \n (MLE)",
"Observed",
"Data Used For Fitting")) +
xlab("Days since March 1 2020")+
ylab("Observed Monthly Cases") +
theme(legend.position = "None")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/b_a_profile_log_Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_2_LL_via_case_data.png"))
print(p)
dev.off()## quartz_off_screen
## 2png(paste0("../Figures/Profiles/", model_name,
"_Model/Man_Figs/b_a_profile_log_Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_2_LL_via_case_data.png"))
print(p)
dev.off()## quartz_off_screen
## 2Ony top 2LL params via cases and antibody LL (b_a Profile)
#all_combo_melt_data = melt(all_combo_data, id.vars = c("time", "combo_num"))
all_combo_data_high_Q_max = aggregate(sim_data_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_low_Q)
all_combo_data_median_max = aggregate(sim_data_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_median)
all_combo_data_median_min = aggregate(sim_data_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_median,
ML_high_Q = sim_data_high_Q,
ML_low_Q = sim_data_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_median_min)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_median_max)## Joining by: time## Joining by: time
true_data = dplyr::select(Observed_data, time = times,
Observed_Data = Y)
comp_data = join(comp_data, true_data)## Joining by: time## Joining by: time
comp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
comp_data_melt$ML_Q_Rib_Col = "95% Simulation Quantiles \n (MLE)"
comp_data_melt$All_combo_Med_Rib_Col = "Simulation Median \n (all 2 LL combinations)"
comp_data_melt$All_combo_Q_Rib_Col = "95% Simulation Quantiles \n (all 2 LL combinations)"
fill_vec = c("Simulation Median \n (all 2 LL combinations)" = "pink", "95% Simulation Quantiles \n (MLE)" = "skyblue", "95% Simulation Quantiles \n (all 2 LL combinations)" = "grey70")
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = ML_low_Q,
ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = all_combo_median_min,
ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red","blue"),
labels =
c("Simulation Median \n (MLE)",
"Observed",
"Data Used For Fitting")) +
xlab("Days since March 1 2020")+
ylab("Observed Monthly Cases")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/b_a_profile_Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_b_a_profile_2_LL_antibody_from_antibody_profile_peak_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = log(all_combo_low_Q_min),
ymax = log(all_combo_high_Q_max), fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = log(ML_low_Q),
ymax = log(ML_high_Q), fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = log(all_combo_median_min),
ymax = log(all_combo_median_max), fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_line(aes(x = time, y = log(value), color = variable)) +
geom_point(aes(x = time, y = log(value), color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red","blue"),
labels =
c("Simulation Median \n (MLE)",
"Observed",
"Data Used For Fitting")) +
xlab("Days since March 1 2020")+
ylab("Observed Monthly Cases")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/b_a_profile_log_Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_2_LL_antibody_from_antibody_profile_peak.png"))
print(p)
dev.off()## quartz_off_screen
## 2Profile Analysis Plots
low_p_S_subset_top_2_LL_end_subset_with_antibody_LL =
top_2_LL_end_subset_with_antibody_LL %>%
filter(p_S < 0.30)
p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = p_S,
y = Antibody_Mean_LL)) +
geom_point(size = 3) +
rahul_man_figure_theme +
theme_white_background +
theme(axis.title.x = element_text(face = "plain", size = 24),
axis.title.y = element_text(face = "plain", size = 24)) +
theme(axis.line = element_line(colour = 'black', size = 1))+
theme(axis.ticks = element_line(colour = "black", size = 1.5)) +
theme(axis.text.x = element_text(size=21)) +
theme(axis.text.y = element_text(size=21)) +
geom_hline(yintercept =
max(top_2_LL_end_subset_with_antibody_LL$Antibody_Mean_LL)-2,
color = 'blue', size = 1.5) +
xlab(expression(paste(
"Proportion of symptomatic cases (", p[S], ")",))) +
ylab("Likelihood with respect to serology")
# xlab("")+
# ylab("")
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"p_S_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_b_a_Profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2png(paste0("../Figures/Profiles/", model_name, "_Model/Man_Figs/",
"p_S_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_b_a_Profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = low_p_S_subset_top_2_LL_end_subset_with_antibody_LL,
aes(x = p_S,
y = Antibody_Mean_LL)) +
geom_point(size = 3) +
rahul_man_figure_theme +
theme_white_background +
theme(axis.title.x = element_text(face = "plain", size = 24),
axis.title.y = element_text(face = "plain", size = 24)) +
theme(axis.line = element_line(colour = 'black', size = 1))+
theme(axis.ticks = element_line(colour = "black", size = 1.5)) +
theme(axis.text.x = element_text(size=21)) +
theme(axis.text.y = element_text(size=21)) +
geom_hline(yintercept =
max(top_2_LL_end_subset_with_antibody_LL$Antibody_Mean_LL)-2,
color = 'blue', size = 1.5) +
xlab(expression(paste(
"Proportion of symptomatic cases (", p[S], ")",))) +
ylab("Likelihood with respect to serology")
# xlab("")+
# ylab("")
p
png(paste0("../Figures/Profiles/", model_name, "_Model/Man_Figs/",
"p_S_vs_Antibody_LL_low_p_S_subset_", model_name,
"_model_antibody_LL_from_b_a_Profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = p_S,
y = Antibody_Mean_LL)) +
geom_point(size = 3) +
rahul_man_figure_theme +
theme_white_background +
theme(axis.title.x = element_text(face = "plain"),
axis.title.y = element_text(face = "plain")) +
geom_hline(yintercept =
max(top_2_LL_end_subset_with_antibody_LL$Antibody_Mean_LL)-2,
color = 'blue',
size = 1.5) +
xlab(expression(paste(
"Proportion of symptomatic cases (", p[S], ")",))) +
ylab("Likelihood with respect to serology") +
xlab("")+
ylab("") +
theme(axis.title.x = element_text(face = "plain", size = 24),
axis.title.y = element_text(face = "plain", size = 24)) +
theme(axis.line = element_line(colour = 'black', size = 1))+
theme(axis.ticks = element_line(colour = "black", size = 1.5)) +
theme(axis.text.x = element_text(size=21)) +
theme(axis.text.y = element_text(size=21))
p
png(paste0("../Figures/Profiles/", model_name, "_Model/Man_Figs/",
"p_S_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_b_a_Profile_peak_LL_no_labs.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = b_a,
y = Antibody_Mean_LL)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"b_a_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_b_a_Profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0,
y = Antibody_Mean_LL)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"R_0_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_b_a_Profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2top_2_LL_end_subset_with_antibody_LL$duration_of_symp_1 = 1/top_2_LL_end_subset_with_antibody_LL$phi_S
top_2_LL_end_subset_with_antibody_LL$duration_of_symp_2 = 1/top_2_LL_end_subset_with_antibody_LL$gamma
top_2_LL_end_subset_with_antibody_LL = top_2_LL_end_subset_with_antibody_LL %>%
mutate(duration_of_symp = duration_of_symp_1 + duration_of_symp_2)
top_2_LL_end_subset_with_antibody_LL$gamma_total = 1/top_2_LL_end_subset_with_antibody_LL$duration_of_symp
top_2_LL_end_subset_with_antibody_LL = top_2_LL_end_subset_with_antibody_LL %>%
mutate(Beta = R_0*gamma_total)
top_2_LL_end_subset_with_antibody_LL = top_2_LL_end_subset_with_antibody_LL%>%
mutate(R_0_P = (Beta*b_p)/phi_U,
R_0_A = (Beta*b_a *(1-p_S))/phi_S,
R_0_S_1 = (Beta*p_S)/phi_S,
R_0_S_2 = (Beta*(1-p_H_cond_S)*p_S)/gamma)
top_2_LL_end_subset_with_antibody_LL = top_2_LL_end_subset_with_antibody_LL %>%
mutate(R_0_NGM = R_0_P + R_0_A + R_0_S_1 + R_0_S_2)
antibody_top_2_LL_from_b_a_profile_top_2_LL = top_2_LL_end_subset_with_antibody_LL %>%
filter(Antibody_Mean_LL > max(Antibody_Mean_LL)-2)
nrow(antibody_top_2_LL_from_b_a_profile_top_2_LL)## [1] 36range(antibody_top_2_LL_from_b_a_profile_top_2_LL$R_0)## [1] 2.927915 17.771088p = ggplot(data = antibody_top_2_LL_from_b_a_profile_top_2_LL,
aes(x = b_a,
y = R_0)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_a_vs_R_0_", model_name,
"_model_top_2_antibody_LL_from_b_a_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_b_a_profile_top_2_LL,
aes(x = b_a,
y = log(R_0))) + geom_hline(yintercept = log(3), color = 'orange') +
geom_hline(yintercept = log(4), color = 'purple') +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_a_vs_log_R_0_", model_name,
"_model_top_2_antibody_LL_from_b_a_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_b_a_profile_top_2_LL,
aes(x = b_p,
y = R_0)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_p_vs_R_0_", model_name,
"_model_top_2_antibody_LL_from_b_a_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_b_a_profile_top_2_LL,
aes(x = b_q,
y = R_0)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_q_vs_R_0_", model_name,
"_model_top_2_antibody_LL_from_b_a_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2range(antibody_top_2_LL_from_b_a_profile_top_2_LL$b_q)## [1] 0.1337064 0.2401933hist(antibody_top_2_LL_from_b_a_profile_top_2_LL$R_0)
## Calculate R_0 NGM for top_2_LL of b_a profile
\[\begin{equation} R_{0_{NGM}} = \frac{\beta_P}{\phi_U} + \frac{\beta_A (1-p_S)}{\phi_S} + \frac{\beta p_S}{\phi_S} + \frac{\beta (1-p_{\text{H_cond_S}}) p_S}{\gamma} \end{equation}\]
In terms of model parameters: \[\begin{equation} R_{0_{NGM}} = \frac{\beta*b_p}{\phi_U} + \frac{\beta*b_a (1-p_S)}{\phi_S} + \frac{\beta p_S}{\phi_S} + \frac{\beta (1-p_{\text{H_cond_S}}) p_S}{\gamma} \end{equation}\]
p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0_NGM)) +
geom_density() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/b_a_Profile/", model_name,
"_b_a_profile_density_plot_of_R_0_NGM_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0_NGM)) +
geom_histogram() +
rahul_man_figure_theme
p## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
png(file = paste0("../Figures/Profiles/", model_name, "_Model/b_a_Profile/", model_name,
"_b_a_Profile_histogram_of_R_0_NGM_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0_A,
y = R_0_S_1 + R_0_S_2)) +
geom_point() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/b_a_Profile/", model_name,
"_b_a_Profile_R_0_A_vs_R_0_S_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0,
y = R_0_NGM,
color = b_a)) +
geom_point() +
scale_color_viridis_c() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/b_a_Profile/", model_name,
"_b_a_Profile_R_0_vs_R_0_NGM_color_b_a_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0,
y = R_0_NGM,
color = b_p)) +
geom_point() +
scale_color_viridis_c() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/b_a_Profile/", model_name,
"_b_a_Profile_R_0_vs_R_0_NGM_color_b_p_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0,
y = R_0_S_1 + R_0_S_2)) +
geom_point() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/b_a_Profile/", model_name,
"_b_a_Profile_R_0_vs_R_0_S_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0_NGM,
y = Antibody_Mean_LL)) +
geom_point() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/b_a_profile/", model_name,
"_b_a_profile_R_0_NGM_vs_Likelihood_with_respect_to_antibody_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = b_a,
y = R_0_NGM)) +
geom_point() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/b_a_profile/", model_name,
"_b_a_profile_b_a_vs_R_0_NGM_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_b_a_profile_top_2_LL,
aes(x = R_0_NGM)) +
geom_histogram() +
rahul_man_figure_theme
p## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"R_0_NGM_histogram_", model_name,
"_model_top_2_antibody_LL_from_b_a_profile_peak_LL.png"))
print(p)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_b_a_profile_top_2_LL,
aes(x = R_0,
y = R_0_NGM,
color = b_a)) +
geom_point(size = 5) +
scale_color_viridis_c() +
rahul_man_figure_theme +
theme_white_background +
scale_x_continuous(breaks=c(seq(2,10,1), 15, 18)) +
scale_y_continuous(breaks=seq(2,5,1)) +
coord_cartesian(expand = FALSE, #turn off axis expansion (padding)
xlim = c(1.75, 18.25), ylim = c(1.75, 5.25)) #manually set limits
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"R_0_vs_R_0_NGM_color_by_b_a", model_name,
"_model_top_2_antibody_LL_from_b_a_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_b_a_profile_top_2_LL,
aes(x = R_0,
y = R_0_NGM,
color = b_p)) +
geom_point(size = 5) +
scale_color_viridis_c() +
rahul_man_figure_theme +
theme_white_background +
scale_x_continuous(breaks=c(seq(2,10,1), 15, 18)) +
scale_y_continuous(breaks=seq(2,5,1)) +
coord_cartesian(expand = FALSE, #turn off axis expansion (padding)
xlim = c(1.75, 18.25), ylim = c(1.75, 5.25)) #manually set limits
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"R_0_vs_R_0_NGM_color_by_b_p", model_name,
"_model_top_2_antibody_LL_from_b_a_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_b_a_profile_top_2_LL,
aes(x = R_0,
y = R_0_NGM,
color = b_p)) +
geom_point(size = 5) +
scale_color_viridis_c() +
rahul_man_figure_theme +
theme_white_background +
scale_x_continuous(breaks=c(seq(2,10,1), 15, 18)) +
scale_y_continuous(breaks=seq(2,5,1)) +
coord_cartesian(expand = FALSE, #turn off axis expansion (padding)
xlim = c(1.75, 9), ylim = c(1.75, 5.25)) #manually set limits
p
png(paste0("../Figures/Profiles/", model_name, "_Model/Sup_Figs/",
"R_0_vs_R_0_NGM_color_by_b_p", model_name,
"_model_top_2_antibody_LL_from_b_a_profile_peak_LL_no_outlier.png"))
print(p)
dev.off()## quartz_off_screen
## 2Surface plots
antibody_top_2_LL_from_b_a_profile_top_2_LL_no_outlier =
antibody_top_2_LL_from_b_a_profile_top_2_LL %>%
filter(R_0 <15)
save(antibody_top_2_LL_from_b_a_profile_top_2_LL_no_outlier,
file = paste0("../Generated_Data/Profiles/", model_name, "_Model/top_2_LL_data/b_a_profile_antibody_surface_plot_data.RData"))
save(antibody_top_2_LL_from_b_a_profile_top_2_LL,
file = paste0("../Generated_Data/Profiles/", model_name, "_Model/top_2_LL_data/b_a_profile_antibody_surface_plot_data_with_outlier.RData"))
library(plotly)## Warning: package 'plotly' was built under R version 3.5.2##
## Attaching package: 'plotly'## The following object is masked from 'package:ggplot2':
##
## last_plot## The following objects are masked from 'package:plyr':
##
## arrange, mutate, rename, summarise## The following object is masked from 'package:stats':
##
## filter## The following object is masked from 'package:graphics':
##
## layout# if (!require("processx")) install.packages("processx")
fig <- plot_ly(antibody_top_2_LL_from_b_a_profile_top_2_LL_no_outlier,
x = ~b_a, y = ~b_p, z = ~R_0, color = ~b_a)
fig <- fig %>% add_markers()
fig <- fig %>% layout(scene = list(xaxis = list(title = ' b_a'),
yaxis = list(title = ' b_p'),
zaxis = list(title = 'R_0 ')))
fig# orca(fig, "surface-plot.svg")source("Sim_G_w_y_scaling_profile_peak_Model_N_12.R")## [1] 1
## [1] 2
## [1] 3
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## [1] 15R over N for top parameter combinations within 2LL when fit to antibody and case data (G_w_y_scaling Profile)
params_with_data = join(all_combo_R_data,
top_2_LL_end_subset_with_antibody_LL)## Joining by: combo_num, sim_subset_indexparams_with_data = join(params_with_data,
all_combo_S_data)## Joining by: time, combo_num, sim_subset_indexparams_with_data = join(params_with_data,
all_combo_C_Q1_data)## Joining by: time, combo_num, sim_subset_indexparams_with_data = join(params_with_data,
all_combo_data)## Joining by: time, combo_num, sim_subset_indexantibody_top_2_LL_params_and_sim_data = params_with_data %>%
filter(Antibody_Mean_LL > max(Antibody_Mean_LL)-2)
#head(params_with_data)
all_combo_data_high_Q_max = aggregate(sim_data_R_over_N_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_R_over_N_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_R_over_N_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_R_over_N_low_Q)
all_combo_data_median_max = aggregate(sim_data_R_over_N_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_R_over_N_median)
all_combo_data_median_min = aggregate(sim_data_R_over_N_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_R_over_N_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_R_over_N_median,
ML_high_Q = sim_data_R_over_N_high_Q,
ML_low_Q = sim_data_R_over_N_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: timecomp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_max)## Joining by: timecomp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
ML_Q_Rib_Col_lab = "95% Simulation Quantiles \n (MLE for antibody data)"
All_combo_Med_Rib_Col_lab = "Simulation Median \n (all 2 LL combinations (for antibody data))"
All_combo_Q_Rib_Col_lab = "95% Simulation Quantiles \n (all 2 LL combinations (for antibody data))"
comp_data_melt$ML_Q_Rib_Col = ML_Q_Rib_Col_lab
comp_data_melt$All_combo_Med_Rib_Col = All_combo_Med_Rib_Col_lab
comp_data_melt$All_combo_Q_Rib_Col = All_combo_Q_Rib_Col_lab
fill_vec = c("pink", "skyblue", "grey70")
names(fill_vec) = c(All_combo_Med_Rib_Col_lab, ML_Q_Rib_Col_lab, All_combo_Q_Rib_Col_lab)
p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_median_min,
ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = ML_low_Q,
ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red"),
labels =
c("Simulation Median \n (MLE)")) +
xlab("Days since March 1 2020")+
ylab(expression(paste(frac(R,N)))) +
geom_ribbon(data = nyc_antibody_df,aes(x = times, ymin = lower_CI,
ymax = upper_CI),
fill = 'blue',
alpha = 0.5) +
geom_point(data = nyc_antibody_df,
aes(x = times, y = Prop_Positive), color = 'blue') +
geom_line(data = nyc_antibody_df,
aes(x = times, y = Prop_Positive), color = 'blue')
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/G_w_y_scaling_profile_Observed_Antibody_data_vs_Ribbon_Plot_R_over_N_over_time_simulation_from_G_w_y_scaling_profile__2_LL_antibody_from_antibody_G_w_y_scaling_profile_peak_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2C_Q1 (G_w_y_scaling Profile)
all_combo_data_high_Q_max = aggregate(sim_data_C_Q1_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_C_Q1_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_C_Q1_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_C_Q1_low_Q)
all_combo_data_median_max = aggregate(sim_data_C_Q1_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_C_Q1_median)
all_combo_data_median_min = aggregate(sim_data_C_Q1_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_C_Q1_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_C_Q1_median,
ML_high_Q = sim_data_C_Q1_high_Q,
ML_low_Q = sim_data_C_Q1_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: timecomp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_min)## Joining by: timecomp_data = join(comp_data, all_combo_data_median_max)## Joining by: timecomp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
ML_Q_Rib_Col_lab = "95% Simulation Quantiles \n (MLE)"
All_combo_Med_Rib_Col_lab = "Simulation Median \n (all 2 LL combinations)"
All_combo_Q_Rib_Col_lab = "95% Simulation Quantiles \n (all 2 LL combinations)"
comp_data_melt$ML_Q_Rib_Col = ML_Q_Rib_Col_lab
comp_data_melt$All_combo_Med_Rib_Col = All_combo_Med_Rib_Col_lab
comp_data_melt$All_combo_Q_Rib_Col = All_combo_Q_Rib_Col_lab
fill_vec = c("pink", "skyblue", "grey70")
names(fill_vec) = c(All_combo_Med_Rib_Col_lab, ML_Q_Rib_Col_lab, All_combo_Q_Rib_Col_lab)
hosp_comp_df = read.csv("../Generated_Data/hosp_comp_df.csv")
obs_hosp_df = hosp_comp_df %>%
filter(variable == "HOSPITALIZED_COUNT") %>%
dplyr::select(-Date, -Day_of_Week, time = times)
p = ggplot() +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = all_combo_median_min,
ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(data = comp_data_melt,
aes(x = time, ymin = ML_low_Q,
ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_line(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
geom_point(data = comp_data_melt,
aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red"),
labels =
c("Simulation Median \n (MLE)")) +
xlab("Days since March 1 2020")+
ylab(expression(paste(C_Q1))) +
geom_point(data = obs_hosp_df, aes(x = time, y = value), color = 'blue') +
geom_line(data = obs_hosp_df, aes(x = time, y = value), color = 'blue')
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/G_w_y_scaling_profile_Obs_COVID_hosp_cases_vs_Ribbon_Plot_C_Q1_over_time_simulation_from_G_w_y_scaling_profile__2_LL_antibody_from_antibody_G_w_y_scaling_profile_peak_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2Compare to observed data (G_w_y_scaling Profile)
#all_combo_melt_data = melt(all_combo_data, id.vars = c("time", "combo_num"))
all_combo_data_high_Q_max = aggregate(sim_data_high_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_high_Q_max = dplyr::select(all_combo_data_high_Q_max,
time = time,
all_combo_high_Q_max = sim_data_high_Q)
all_combo_data_low_Q_min = aggregate(sim_data_low_Q ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_low_Q_min = dplyr::select(all_combo_data_low_Q_min,
time = time,
all_combo_low_Q_min = sim_data_low_Q)
all_combo_data_median_max = aggregate(sim_data_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = max)
all_combo_data_median_max = dplyr::select(all_combo_data_median_max,
time = time,
all_combo_median_max = sim_data_median)
all_combo_data_median_min = aggregate(sim_data_median ~ time, antibody_top_2_LL_params_and_sim_data,
FUN = min)
all_combo_data_median_min = dplyr::select(all_combo_data_median_min,
time = time,
all_combo_median_min = sim_data_median)
ML_output = antibody_top_2_LL_params_and_sim_data %>%
filter(Antibody_Mean_LL == max(Antibody_Mean_LL))
ML_output = dplyr::select(ML_output, time = time,
ML_median = sim_data_median,
ML_high_Q = sim_data_high_Q,
ML_low_Q = sim_data_low_Q)
comp_data = join(ML_output, all_combo_data_high_Q_max)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_low_Q_min)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_median_min)## Joining by: time## Joining by: time
comp_data = join(comp_data, all_combo_data_median_max)## Joining by: time## Joining by: time
true_data = dplyr::select(Observed_data, time = times,
Observed_Data = Y)
comp_data = join(comp_data, true_data)## Joining by: time## Joining by: time
comp_data_melt = melt(comp_data, id.vars = c("time",
"ML_high_Q", "ML_low_Q",
"all_combo_high_Q_max",
"all_combo_low_Q_min",
"all_combo_median_min",
"all_combo_median_max"))
comp_data_melt$ML_Q_Rib_Col = "95% Simulation Quantiles \n (MLE)"
comp_data_melt$All_combo_Med_Rib_Col = "Simulation Median \n (all 2 LL combinations)"
comp_data_melt$All_combo_Q_Rib_Col = "95% Simulation Quantiles \n (all 2 LL combinations)"
fill_vec = c("Simulation Median \n (all 2 LL combinations)" = "pink", "95% Simulation Quantiles \n (MLE)" = "skyblue", "95% Simulation Quantiles \n (all 2 LL combinations)" = "grey70")
p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = all_combo_low_Q_min,
ymax = all_combo_high_Q_max, fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = ML_low_Q,
ymax = ML_high_Q, fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = all_combo_median_min,
ymax = all_combo_median_max, fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_line(aes(x = time, y = value, color = variable)) +
geom_point(aes(x = time, y = value, color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red","blue"),
labels =
c("Simulation Median \n (MLE)",
"Observed",
"Data Used For Fitting")) +
xlab("Days since March 1 2020")+
ylab("Observed Monthly Cases")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/G_w_y_scaling_profile_Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_G_w_y_scaling_profile_2_LL_antibody_from_antibody_profile_peak_params.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = comp_data_melt) +
geom_ribbon(aes(x = time, ymin = log(all_combo_low_Q_min),
ymax = log(all_combo_high_Q_max), fill = All_combo_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = log(ML_low_Q),
ymax = log(ML_high_Q), fill = ML_Q_Rib_Col), inherit.aes = FALSE) +
geom_ribbon(aes(x = time, ymin = log(all_combo_median_min),
ymax = log(all_combo_median_max), fill = All_combo_Med_Rib_Col), inherit.aes = FALSE) +
geom_line(aes(x = time, y = log(value), color = variable)) +
geom_point(aes(x = time, y = log(value), color = variable)) +
rahul_theme +
theme(legend.text = element_text(size = 12,
face = "bold",
color = "black")) +
theme_white_background +
scale_fill_manual(name = "Ribbon Legend", values = fill_vec) +
scale_color_manual(name = "Color Legend", values = c("red","blue"),
labels =
c("Simulation Median \n (MLE)",
"Observed",
"Data Used For Fitting")) +
xlab("Days since March 1 2020")+
ylab("Observed Monthly Cases")
p
png(paste0("../Figures/Profiles/", model_name,
"_Model/top_2_LL_sim_plots/top_2_LL_via_antibody_comp_plots/G_w_y_scaling_profile_log_Obs_daily_COVID_cases_vs_Ribbon_Plot_simulated_cases_over_time_simulation_from_2_LL_antibody_from_antibody_profile_peak.png"))
print(p)
dev.off()## quartz_off_screen
## 2Profile analysis plots
p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = p_S,
y = Antibody_Mean_LL)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"p_S_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_G_w_y_scaling_Profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = b_a,
y = Antibody_Mean_LL)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"b_a_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_G_w_y_scaling_Profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0,
y = Antibody_Mean_LL)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"R_0_vs_Antibody_LL_", model_name,
"_model_antibody_LL_from_G_w_y_scaling_Profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2head(top_2_LL_end_subset_with_antibody_LL)## G_w_y_scaling M_0 V_0 K_0 R_0 b_q b_a b_p p_S
## 1 0.1137931 5 13 14 5.723926 0.1507524 0.7854870 0 0.09086144
## 2 0.1137931 5 13 14 4.708381 0.1485728 0.9222754 0 0.11202716
## 3 0.1251724 5 13 14 9.325590 0.1410724 0.2478865 0 0.20058425
## 4 0.1251724 5 13 14 7.305199 0.1594458 0.5414109 0 0.09463406
## 5 0.1251724 5 13 14 11.298709 0.1360877 0.2015189 0 0.18165551
## 6 0.1251724 5 13 14 5.893892 0.1325272 0.6100393 0 0.21542419
## p_H_cond_S phi_E phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 0.10470967 1.09 1.09 0.2 0.125 202.92645 8e+06 69259.55 25317.20 0
## 2 0.10403656 1.09 1.09 0.2 0.125 181.58790 8e+06 71920.34 17252.26 0
## 3 0.08133696 1.09 1.09 0.2 0.125 302.75063 8e+06 44516.55 12332.46 0
## 4 0.08674280 1.09 1.09 0.2 0.125 119.69524 8e+06 73408.35 29639.12 0
## 5 0.08282378 1.09 1.09 0.2 0.125 113.87758 8e+06 35780.51 17105.31 0
## 6 0.09127855 1.09 1.09 0.2 0.125 96.51711 8e+06 36215.94 10747.12 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.2771416
## 2 17 22 0.9 0.2764743
## 3 17 22 0.9 0.2748670
## 4 17 22 0.9 0.2732558
## 5 17 22 0.9 0.2727828
## 6 17 22 0.9 0.2772539
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 2 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 3 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 4 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 5 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## 6 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## msg iter_num param_index loglik nfail trace_num loglist.se
## 1 mif1 1 171 -628.1586 NA NA 0.010046013
## 2 mif1 2 183 -628.0499 NA NA 0.006061666
## 3 mif1 1 185 -627.2937 NA NA 0.008435769
## 4 mif1 1 188 -626.2718 NA NA 0.010147800
## 5 mif1 1 189 -627.9499 NA NA 0.010069333
## 6 mif1 2 189 -626.6486 NA NA 0.009115353
## Antibody_Mean_LL Antibody_LL_SE Median_Herd_Immunity combo_num
## 1 -43.99074 0.02136674 0.3302930 1
## 2 -31.45546 0.01372541 0.2738905 2
## 3 -30.77820 0.01511641 0.1465016 3
## 4 -43.88899 0.01918563 0.3219798 4
## 5 -28.22636 0.01248400 0.1592594 5
## 6 -33.70748 0.01503283 0.1393224 6
## sim_subset_index
## 1 1
## 2 1
## 3 1
## 4 1
## 5 1
## 6 1top_2_LL_end_subset_with_antibody_LL$duration_of_symp_1 = 1/top_2_LL_end_subset_with_antibody_LL$phi_S
top_2_LL_end_subset_with_antibody_LL$duration_of_symp_2 = 1/top_2_LL_end_subset_with_antibody_LL$gamma
top_2_LL_end_subset_with_antibody_LL = top_2_LL_end_subset_with_antibody_LL %>%
mutate(duration_of_symp = duration_of_symp_1 + duration_of_symp_2)
top_2_LL_end_subset_with_antibody_LL$gamma_total = 1/top_2_LL_end_subset_with_antibody_LL$duration_of_symp
top_2_LL_end_subset_with_antibody_LL = top_2_LL_end_subset_with_antibody_LL %>%
mutate(Beta = R_0*gamma_total)
top_2_LL_end_subset_with_antibody_LL = top_2_LL_end_subset_with_antibody_LL%>%
mutate(R_0_P = (Beta*b_p)/phi_U,
R_0_A = (Beta*b_a *(1-p_S))/phi_S,
R_0_S_1 = (Beta*p_S)/phi_S,
R_0_S_2 = (Beta*(1-p_H_cond_S)*p_S)/gamma)
top_2_LL_end_subset_with_antibody_LL = top_2_LL_end_subset_with_antibody_LL %>%
mutate(R_0_NGM = R_0_P + R_0_A + R_0_S_1 + R_0_S_2)
p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0_NGM)) +
geom_histogram() + rahul_man_figure_theme
p## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
png(file = paste0("../Figures/Profiles/", model_name, "_Model/G_w_y_scaling_profile/", model_name,
"_G_w_y_scaling_profile_R_0_NGM_histogram_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0,
y = R_0_NGM,
color = b_a)) +
geom_point() +
scale_color_viridis_c() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/G_w_y_scaling_profile/", model_name,
"_G_w_y_scaling_profile_R_0_vs_R_0_NGM_color_b_a_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0,
y = R_0_NGM,
color = b_p)) +
geom_point() +
scale_color_viridis_c() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/G_w_y_scaling_profile/", model_name,
"_G_w_y_scaling_profile_R_0_vs_R_0_NGM_color_b_p_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = R_0,
y = R_0_NGM,
color = G_w_y_scaling)) +
geom_point() +
scale_color_viridis_c() +
rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/G_w_y_scaling_profile/", model_name,
"_G_w_y_scaling_profile_R_0_vs_R_0_NGM_color_G_w_y_scaling_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = top_2_LL_end_subset_with_antibody_LL,
aes(x = G_w_y_scaling,
y = R_0_NGM)) +
geom_point() + rahul_man_figure_theme
p
png(file = paste0("../Figures/Profiles/", model_name, "_Model/G_w_y_scaling_profile/", model_name,
"_G_w_y_scaling_profile_G_w_y_scaling_vs_R_0_NGM_histogram_for_all_parameter_combinations_within_2LL_of_profile_MLE_fit_to_cases.png"))
print(p)
dev.off()## quartz_off_screen
## 2antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL =
top_2_LL_end_subset_with_antibody_LL %>%
filter(Antibody_Mean_LL > max(Antibody_Mean_LL)-2)
nrow(antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL)## [1] 1range(antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL$R_0)## [1] 6.252792 6.252792antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL## G_w_y_scaling M_0 V_0 K_0 R_0 b_q b_a b_p p_S
## 1 0.1365517 5 13 14 6.252792 0.1472358 0.5492081 0 0.1620639
## p_H_cond_S phi_E phi_U phi_S h_V gamma N_0 E_0 z_0 C_0
## 1 0.07649814 1.09 1.09 0.2 0.125 582.3939 8e+06 43192.67 21552.95 0
## social_distancing_start_time quarantine_start_time PCR_sens sigma_M
## 1 17 22 0.9 0.2724676
## beta_w_3 beta_w_2 beta_w_1 beta_w_0 g_0 g_F sigma_epsilon
## 1 0.01215073 0.9810086 -37.23481 229.4094 1183.3 0.1162005 109.1121
## msg iter_num param_index loglik nfail trace_num loglist.se
## 1 mif1 1 217 -627.2268 NA NA 0.01303892
## Antibody_Mean_LL Antibody_LL_SE Median_Herd_Immunity combo_num
## 1 -25.1653 0.003145945 0.1864272 15
## sim_subset_index duration_of_symp_1 duration_of_symp_2 duration_of_symp
## 1 1 5 0.001717051 5.001717
## gamma_total Beta R_0_P R_0_A R_0_S_1 R_0_S_2 R_0_NGM
## 1 0.1999313 1.250129 0 2.876555 1.013004 0.0003212641 3.88988p = ggplot(data = antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL,
aes(x = b_a,
y = R_0)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_a_vs_R_0_", model_name,
"_model_top_2_antibody_LL_from_G_w_y_scaling_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL,
aes(x = b_a,
y = log(R_0))) + geom_hline(yintercept = log(3), color = 'orange') +
geom_hline(yintercept = log(4), color = 'purple') +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_a_vs_log_R_0_", model_name,
"_model_top_2_antibody_LL_from_G_w_y_scaling_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL,
aes(x = b_p,
y = R_0)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_p_vs_R_0_", model_name,
"_model_top_2_antibody_LL_from_G_w_y_scaling_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2p = ggplot(data = antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL,
aes(x = b_q,
y = R_0)) +
geom_point() +
rahul_man_figure_theme
p
png(paste0("../Figures/Profiles/", model_name, "_Model/top_2_LL_sim_plots/",
"top_2_LL_via_antibody_comp_plots/",
"b_q_vs_R_0_", model_name,
"_model_top_2_antibody_LL_from_G_w_y_scaling_profile_peak_LL.png"))
print(p)
dev.off()## quartz_off_screen
## 2antibody_top_2_LL_from_G_w_y_scaling_profile_top_2_LL$R_0_NGM## [1] 3.88988